Alternatives to MPCPy

Epicor Connected Process Control provides a simple-to-use software solution that allows you to configure digital work instructions and enforce process control. It also ensures that operations are error-proof. Connect IoT devices to collect 100% time studies and process data, images and images at the task level. Real-time visibility and quality control on a new level! eFlex can handle any number of product variations or thousands of parts, whether you are a component-based or model-based manufacturer. Work instructions can be linked to Bill of Materials, ensuring that products are built correctly every time, even if changes are made during the process. Work instructions that are part a system that is advanced will automatically react to model and component variations and only display the right work instructions for what's currently being built at station.

Model Predictive control Toolbox™, which includes functions, an app, Simulink®, blocks, and references for the development of model predictive control (MPC), provides functions, an application, and Simulink®, blocks. The toolbox supports the creation of explicit, explicit, adaptive, gain-scheduled, and adaptive MPC for linear problems. Nonlinear problems can be solved by single- or multi-stage nonlinear MPC. The toolbox includes deployable optimization solvers, as well as the ability to create a custom solver. Closed-loop simulations can be used to evaluate controller performance in Simulink and MATLAB®. You can also use the MISRA C(r-)- and ISO 26262-compliant examples and blocks to automate driving. These blocks and examples are compatible with lane keep, path planning, following and adaptive cruise control applications. Design adaptive, gain-scheduled, or implicit MPC controllers that solve quadratic programming (QP). From an implicit design, generate an explicit MPC controller. For mixed-integer QP problems, use a discrete control set MPC.

Cybernetica offers Nonlinear Model Predictive Controller (NMPC) based upon mechanistic models. Cybernetica CENIT is a flexible software product that can address any industrial problem with optimal solutions. Multivariable optimal control, predictive control, intelligent feed forward, optimal constraint handling. Adaptive control via state and parameter estimation and feedback from indirect measurements through a process model. Nonlinear models can be used over larger operating ranges. Control of nonlinear processes can be improved. There is less need to perform step-response tests and there are better state and parameter estimates. Control of batch and semibatch processes, control over nonlinear processes that operate under varying conditions. Continuous processes require optimal grade transition. Safe control of exothermal process and control of unmeasured variables such as conversion rates, product quality, and other variables. Reduced energy consumption and carbon footprint

Advanced Process Control (APC), a cost-effective method to optimize your plant's performance without having to change the hardware, is very cost-effective. APC applications stabilize the operation and optimize production and/or energy use. An important side effect is a better understanding of your production process. Advanced process control (APC), refers to a wide range of technologies and techniques that interact with the base process control systems (built with PID controls). APC technologies include e.g. LQR and LQC, H_infinity, neural, fuzzy, and Model-Based Predictive Controller (MPC) are some examples of APC technologies. An APC application optimizes every minute of your plant, 24 hours a day, 7 days a week. MPC is the most widely used APC technology in the industry. Model Predictive Control software uses a model to predict the plant's behavior in the future. It can usually be done in a matter of minutes or even hours.

Closed-loop universal multivariable optimizer for Model Predictive Control's (MPC), performance and quality improvements. You can use Excel files from Aspen Tech or Honeywell RMPCT (Robust Model Predictive Control Technology), or Predict Pro (Emerson) to create and improve the correct models for each MV-CV pair. This new optimization technology is not dependent on step tests, as Honeywell and Aspen tech require. It works in the time domain, is compact and practical, and is easy to use. Model Predictive Controls can have dozens or hundreds of dynamic models. One or more of these models could be wrong. Bad (wrong), Model Predictive Control dynamic models produce a bias between the predicted signal (model prediction error), and the measured signal from the sensor. COLUMBO can help you improve Model Predictive Control models (MPC) with either closed-loop or open-loop data.

Complex industrial processes make it difficult to be market-driven and profitable. Manufacturers need to adjust their production methods to offer a wider range of products with higher quality and shorter production runs. They must produce more, run more efficiently, and improve product quality within the limitations of their equipment. They must ensure maximum uptime, efficient transitions and less waste. Manufacturers are also being asked to reduce their environmental impact and comply with regulated emission limits. Rockwell Automation Pavilion8r Model Predictive Control technology (MPC) is an intelligence layer that sits on top of automation systems and continuously drives the plant to achieve multiple business goals, including cost reductions, decreased emissions, and production growth--all in real-time.

AVEVA APC is a model predictive advanced control system that improves process economics. Manufacturers are facing increasing overhead costs and reduced capital budgets in today's economic environment. They also face rising manufacturing and energy prices and fierce global competition. Comprehensive Advanced Process Control by AVEVA helps you solve complex manufacturing problems with state-of the-art automated control solutions that can extract maximum value out of your processes. It can increase production yield, quality, and reduce energy consumption. It can optimize manufacturing operations and provide the performance improvements that you need to improve your bottom-line. AVEVA APC is a comprehensive, predictive, advanced process control software that increases process profitability by improving quality, increasing throughput and reducing energy consumption. It utilizes state-of the-art technology to create automatic control systems capable of unlocking process potential.

Deep learning combined with linear and nonlinear variables allows for more accurate and long-lasting APC models that cover a wider range of operations. Rapid controller deployment, continuous model improvements and simplified workflows enable engineers to improve ROI. Automate model building with AI. Controller tuning is simplified with step-by–step wizards that allow you to specify linear or nonlinear optimization goals. Increase controller uptime with real-time cloud KPIs that can be accessed, visualized and analysed. Energy and chemical companies must operate with greater agility in today's global economy to meet market demand and maximize their margins. Aspen DMC3 is a next generation digital technology that helps companies maintain a 2-5% increase in throughput, a 3-fold increase in yield, and a 10% reduction in energy use. Learn more about next-generation advanced control technology.

Produces like you are skilled at navigating the complexities of staying competitive. This is true across a range of industries, including pharmaceuticals, consumer packaged goods, food and beverage, mining, chemical, and chemical. It is crucial to keep up with technological advances in order to continue your digital transformation journey. Process system users, from the control room to board rooms, face the constant challenges of balancing productivity with budget and resource constraints. They also have to address evolving operational risks. PlantPAx distributed control systems (DCS) can help you meet these challenges and deliver real productivity gains across all areas of your plant. The system features positively impact the plant's lifecycle by ensuring that your plant-wide, scalable systems increase productivity, profitability, and reduce overall risk for operations.

System 800xA is more than a DCS (Distributed Controller System), it's also an Electrical control system, a Safety system, a collaboration enabler, and has the ability to improve engineering efficiency, operator performance and asset utilization. ABB Ability System 800xA, which has an integrated electrical control system, allows you to control the entire electrical system, including high-voltage switchgear and low-voltage motor controls. ABB Ability System 800xA can be used in conjunction with 800xA DCS. Connect to intelligent devices and reduce hardwired cabling for switchgear, regardless of the protocol. Digital communication is more reliable and can be used to improve the information flow between devices.

Pitops is the only software product to perform closed-loop system ID with PID controllers in Auto mode and secondary PID controllers within a Cascade mode. This allows Pitops to identify the PID controllers without the need to break the cascade chains or conduct additional, time-consuming and intrusive step tests. Pitops is the only competitor that can perform successful transfer function identification with data from PID controllers in Cascade modes (no other tool does this). Pitops can perform transfer function identification in the time domain, whereas other tools use the more complex Laplace (S), or Discrete(Z) domains. Pitops can handle multiple inputs simultaneously and identify multiple transfer function simultaneously. Pitops can identify multiple inputs in closed-loop transfer functions system identification in time domain using a breakthrough algorithm that Pitops has developed. This algorithm is far more powerful than the older methods like ARX/ARMA/Box or Jenkins, which are used in competitors tools.

Apromon is an online software tool that monitors the PID loop control performance of primary or advanced process control (APC) loops. Apromon can evaluate single loops, cascades, Advanced Process Control (APC), loops, and signals that have PV but no controller. Apromon can automatically convert flow controllers and temperature controllers into a single "grade", just like a professor giving a student a grade on a test or examination. 100 is the best performance, while 0 is the worst. It runs automatically every set period, so performance is always being calculated. It runs all the time and does not skip any period like competitor products.

DeltaV S-series Electronic Marshalling (CHARMs) allows you to land field cabling anywhere you want, regardless if you use any signal type or control strategy. The DeltaV™, Distributed Control System (DCS), is an automation system that simplifies operations and lowers project risks. The state-of the-art range of products and services improves plant performance and is easy to maintain and operate. The DeltaV DCS scales easily to meet your requirements, without adding complexity. The DeltaV system integrates with other systems, such as batch, advanced control, change management and engineering tools.

statsmodels is an Python module that provides classes, functions, and methods for the estimation of various statistical models. It also allows for statistical data exploration and statistical tests. Each estimator has a comprehensive list of available result statistics. To ensure accuracy, the results are compared to existing statistical packages. The package is available under the Modified BSD (3 clause) license. statsmodels allows you to specify models using R-style formulas or pandas DataFrames. To see the available results, take a look at dir (results). Results describe attributes. __doc__, results methods have their own documentation strings. Numpy arrays can be used in place of formulas. Installing statsmodels as part of the Anaconda distribution is the easiest way to do so. This cross-platform distribution allows for data analysis and scientific computing. This is the preferred method of installation for most users.

CVXOPT, a free software package that allows convex optimization using the Python programming language, is available for download. It can be used with Python's interactive interpreter, the command line to execute Python scripts or integrated into other software via Python extension module. Its primary purpose is to simplify the development of software for convex optimization by using Python's extensive standard library as well as the strengths of Python, a high-level programming languages. Efficient Python classes that can handle dense and sparse (real and complicated) matrices. Includes Python indexing, slicing, and overloaded operations for matrix mathmetic. Interfaces to the linear programming solution in GLPK, semidefinite programming solvers DSDP5 and linear, quadratic, and second-order cone programming solutions in MOSEK.

MLflow is an open-source platform that manages the ML lifecycle. It includes experimentation, reproducibility and deployment. There is also a central model registry. MLflow currently has four components. Record and query experiments: data, code, config, results. Data science code can be packaged in a format that can be reproduced on any platform. Machine learning models can be deployed in a variety of environments. A central repository can store, annotate and discover models, as well as manage them. The MLflow Tracking component provides an API and UI to log parameters, code versions and metrics. It can also be used to visualize the results later. MLflow Tracking allows you to log and query experiments using Python REST, R API, Java API APIs, and REST. An MLflow Project is a way to package data science code in a reusable, reproducible manner. It is based primarily upon conventions. The Projects component also includes an API and command line tools to run projects.

DemandPlanner is a tool that helps you generate accurate sales and demand forecasts. It's also enriched with market dynamics. You can use category planning to gain the best replenishment and inventory planning. The Demand Planner can provide accurate sales forecasts by estimating the impact of a wide range of external factors that affect your product demand. The system uses advanced quantitative analytics tools such as Bayesian analysis, machine learning, and time series modeling to provide accurate estimates for both short and long-term periods. Its collaborative features simplify demand planning activities by optimizing replenishment and procurement, as well as inventory management. Advanced predictive analytics models allow you to accurately assess customer demand patterns and provide insight into your products. Immaculate data-driven strategies will help you balance the inventory's net working capital.

Tellurium is an important Python package for conducting simulation studies in other disciplines and systems biology. Tellurium is an interface for the powerful, high-performance lib Roadrunner simulation engine. Tellurium lets you build your models with an easy-to use human-readable version SBML called Antimony. Antimony Tutorial. Tellurium supports all major standards, such as SBML and SED-ML archives. Tellurium is available via GUI front-ends like Spyder, PyCharm or Jupyter Notebooks, with support for advanced productivity features and interactive editing. Installation is done via standard pip. We also offer a Windows one-click installer that provides a complete system biology modeling environment. Tellurium relies heavily on contributions from open-source.

DPGO is a dynamic pricing tool that allows you to set your own prices for airbnb owners, vacation rental owners, or short-term rental managers. Our AI-driven software analyses over 200 market parameters and can increase your occupancy rates up to 90%. With data-driven insights and extensive market knowledge, you can easily manage prices and availability rates. Based on market data, create a pricing strategy. You can expand our AI-recommendations by incorporating your strategy preferences. We provide market insights specific for your target area. Enjoy discounts and price adjustments for weekends and seasonal events. Use market supply and demand modeling, trend forecasting, and holiday predictions. Integrated metrics allow you to track and improve the success of any listing or entire portfolio. Smart algorithms that learn more each day, offer greater profitability and pricing strategies that are more effective.

Modelon's OPTIMICA Compiler Toolkit is the most powerful Modelica-based mathematical engine available. It allows users to automate, simulate, and optimize system behavior throughout the model-based design process. OPTIMICA is the compiler for Modelon's Impact. It allows users to create multi-domain physical systems using thousands of model components. OPTIMICA's state of the art solvers enable evaluation of complex physical system - supporting both transient simulations and steady-state computations as well dynamic optimization. The sophisticated mathematical engine can simplify and manipulate models to improve performance and robustness. This engine is used in a variety of industries and applications, including automotive, active safety, energy and power plant optimization. Start-up optimization of thermal power plant is essential to meet the increasing demand for power regulation in today's energy market.

Turing optimizes, streamlines and intelligently guides CPG product design. Eliminate manual analysis and physical analysis. You can go from idea to production in one location, and more quickly than ever before. To build accurate models, organizations spend millions collecting and aggregating data. Turing the best-in-class algorithms requires significantly less data than generic AI/ML/AI. No more data aggregation taking up months. Turing enables R&D and product design to combine often disparate, incompatible data from different systems into one platform. Turing's AI can help you discover new insights and combinations that were not possible with siloed data. Faster prototyping. Turing allows you to collaborate and co-create at all stages of product development, including concept to commercialization. You can make data-driven product, packaging or process decisions in real time, without the need for physical trial-and error.

Ansys Icepak solves thermal management problems using CFD. It predicts airflow, temperature, and heat transfer in IC packages, PCBs, electronic assemblies/enclosures, and power electronics. Ansys Icepak offers powerful electronic cooling solutions using the industry-leading Ansys Fluent CFD solver to perform thermal and fluid flow analysis of integrated circuits, packages, printed circuit board (PCBs), electronic assemblies and enclosures. Ansys' Icepak CFD solution uses the Ansys Electronics Desktop GUI (GUI). Perform heat transfer analysis conjugated with conduction, convection and radiation. Advanced capabilities include laminar and turbulent flow modeling, species analysis, including radiation and convection. Ansys PCB Design Solution allows you to simulate PCBs and ICs and accurately evaluate a system.

The Allegro PSpice System Designer uses core Cadence PSpice technology to provide fast and accurate simulations. This package provides utilities for sensitivity analysis and goal-based multiparameter optimization, component stress, reliability analysis, and Monte Carlo analysis to estimate yield. Parametric plotter analyzes interdependence between parameters and converts simulation data to meaningful results. Allegro Design Entry HDL can be used to generate schematics that can be used to drive PCB layout. This will reduce design time and eliminate redrawing errors. It has a large collection of models and behavioral modeling techniques that make it easy to refine the analog/digital interface. Analog and mixed-signal designs can be analysed quickly and accurately. PSpice technology is used at the core to perform fast and accurate simulations.

Open-Source AI layer for databases. Machine Learning capabilities can be integrated directly into your data domain to increase efficiency and productivity. MindsDB makes it easy to create, train, and then test ML models. Then publish them as virtual AI tables into databases. Integrate seamlessly with all major databases. SQL queries can be used to manipulate ML models. You can increase model training speed using GPU without affecting the performance of your database. Learn how the ML model arrived at its conclusions and what factors affect prediction confidence. Visual tools that allow you to analyze model performance. SQL and Python queries that return explanation insights in a single code. You can use What-if analysis to determine confidence based upon different inputs. Automate the process for applying machine learning using the state-of the-art Lightwood AutoML library. Machine Learning can be used to create custom solutions in your preferred programming language.

Access, explore, and prepare data while discovering new patterns and trends. SAS Visual Data Science allows you to create and share interactive visualizations and reports using a single interface. It uses machine learning, text analysis, and econometrics to improve forecasting and optimization. Additionally, it registers SAS and open source models within projects and as standalone models. Visualize your data and find relevant relationships. You can create and share interactive dashboards and reports, and use self service analytics to quickly assess possible outcomes for better, data-driven decisions. This solution runs in SAS®, Viya®. It allows you to explore data and create or adjust predictive analytical models. Analysts, statisticians, data scientists, and analysts can work together to refine and refine models for each group or segment, allowing them to make informed decisions.

Our executive management system creates value in a data-driven manner. All you need in one executive administration system. Our artificial intelligence and industry benchmarks combine to optimize your recommendations. Streamline your planning based on your data. Fully integrated and intelligent executive management suite. One system for planning and reporting. Deep industry-specific content and best practices. Relevant semantic data model, KPIs/dashboards, deep-drills, benchmarks, recommendations, etc. The standard solution is easier, cheaper, and quicker to set up. For quick setup and operations, no IT or BI team are required. Executives will find it easy to use Excel for a flexible and simple user experience. P&L prediction, root cause analysis, and recommendations are all part of the intelligent integration technology-powered industry-specific data schema.

Radiance is a tool that aids lighting designers and architects in predicting the light levels and appearances of spaces before construction begins. The package includes programs to model and translate scene geometry, luminaire data, and material properties. All of these are required inputs to the simulation. Ray tracing techniques are used to calculate radiance values (ie. The amount of light passing through a particular point in a certain direction. These values are usually arranged to create a photographic quality image. The image can be displayed, edited, and modified within the package. It can also be exported to other image file formats, which allows for easy production of hard-copy output. Radiance's main component, and the most important, is the lighting simulator engine. It calculates light levels and renders pictures.

Aera's Cognitive Operating System™ is the digital brain for your company. It brings agility, scale, accuracy, and speed to your decision-making. This is possible by dynamically orchestrating four fundamental architectural pillars for Cognitive Automation: data science, process, change, and science. Aera's real-time crawling technology is a patent that collects, harmonizes, and augments billions from complex enterprise systems and other data sources. All this while keeping context. The result is that 100% of the internal and external data required to decision automation and enhancement are made available in real-time. Aera implements advanced techniques such as optimization, prediction, modeling, and artificial intelligence (AI), within the context of a decision. The patented models incorporate domain expertise with thousands of predefined measures that can be used in all areas of the business. You can either bring your own or build one of our pre-packaged algorithms.

Creating ML applications should be easy and frictionless. UnionML is a Python framework that is built on Flyte™ and unifies the ecosystem of ML software into a single interface. Combine the tools you love with a simple, standard API. This allows you to stop writing boilerplate code and focus on the important things: the data and models that learn from it. Fit the rich ecosystems of tools and frameworks to a common protocol for Machine Learning. Implement endpoints using industry-standard machine-learning methods for fetching data and training models. Serve predictions (and more) in order to create a complete ML stack. UnionML apps can be used by data scientists, ML engineers, and MLOps professionals to define a single source for truth about the behavior of your ML system.

Package, dependency, or environment management for any language: Python, R. Ruby, Lua. Scala, JavaScript C/ C++, Fortran and more. Conda, an open-source package and environment management system, runs on Windows, macOS and Linux. Conda quickly installs and runs packages and their dependencies. Conda makes it easy to create, save, load, and switch between environments on your computer. Although it was designed for Python programs, Conda can also package and distribute software for other languages. Conda is a package manager that helps you locate and install packages. Conda can also be used to manage environment managers. You can create a completely separate environment to run the different version of Python while still running your usual environment.

BMC AMI Cost Management offers data-driven reporting, budget forecasting and impact modeling. This allows you to identify cost optimization areas by translating technical costs data into useful business metrics. Transparent cost reporting using intuitive, interactive dashboards that track history, efficiency improvements, as well as analyze total cost data. Identify the workloads that are driving mainframe software cost so you can adjust cost optimization strategies to meet business demand. Predictive analytics that analyzes the impact of IBM software licensing optimization activities to plan and manage your budget. Proactive reporting on actual vs. planned costs, variances and forecasts of budget risk. Tailored Fit Pricing (TFP), reporting support that gives you visibility into your monthly TFP cost drivers, allowing you to manage your TFP costs.

Open interfaces ("API First") allow integration of applications for almost all possible input and output channels. Consistent optimization of communication processes ensures high performance even for large document volumes. NodeJS (NPM packages), web-based APIs that are documented and customized, and customer-specific process modules allow for greater flexibility. Modification of document control processes according the customer's specifications. Your business, your rules. Our professional services team will assist you. Access to all pre-configured (partial) processes via a web service that can be called by third party solutions. DocBridge® Gear is a platform with which all processes of document creation, conversion, modification and output can be easily configured customer-specifically - independent of a specific (given) page format and based on raw data. You will find examples of quality assurance processes like document check/comparison and validation, release workflows, and so forth. Models can also be used.

We empower individuals and organizations to make data-driven decision about any location-related problem. Based on your criteria, visualize and assess locations. Mobility is a key factor in determining the attractiveness of a location. Do you have business locations like branches, pickup points, stores? Branch Network Optimization can help you increase ROI, increase sales, and manage costs. Retailers have faced many difficulties due to COVID. Use data-driven methods to re-open brick and mortar stores and recover from COVID. Use Location Intelligence to optimize the supply chain and reduce delivery delays. Location Intelligence can help you plan, manage, monitor, and control the first- and last-mile.

Implementation of the WebSocket Protocol. RFC 6455 & RFC 7692. websockets is an open-source library that allows you to build WebSocket clients and servers in Python. It focuses on correctness and simplicity, robustness and performance. It is built on top of Python's standard asynchronous I/O framework asyncio and provides an elegant coroutine-based API. websockets has been rigorously tested to ensure compliance with RFC 6455. Continuous integration fails below 100% branch coverage. websockets was designed for production. It was the first library to correctly handle backpressure before the issue became well-known in the Python community. Memory usage is optimized and configurable. C extensions accelerate expensive operations. It is pre-compiled for Linux and macOS and packaged in the wheel format according to each Python version. websockets handles everything so you can concentrate on your application.

Understanding a process will help you improve it. Bloomfilter analyzes time-series information from your entire stack to build a model for your team's unique development process. It then helps you optimize the model. Visualize the cost breakdown of build, run and maintain. Data-driven teams are more innovative and ship more often. Software development is both an arts and science. Convert sprints and points to dollars and cents. Learn where your process is failing and how to improve it. Increase predictability in scoping work and estimating the release date of new features. Get objective analysis of your development process in a way that everyone can understand.

LeanCOST, an innovative software solution, simplifies and speeds up the estimation and cost of manufacturing time and costs starting at the design stage. It integrates with most commercial 3D CAD systems and automatically determines the manufacturing processes. LeanCOST allows you to control and speed up cost-estimating and helps you make the best decisions. LeanCOST allows you to calculate detailed cost estimates by using any 3D CAD model. This greatly reduces the amount required for manual input and allows cost estimators to respond quicker to customer RFQs. LeanCOST allows you to choose the technologies that will be used during the manufacturing process. It also allows you to select the most cost-effective strategy by simulating manufacturing costs based upon the machine availability, quantity, and technological feasibility.

Predictive analytics can be used to drive business value. Improve processes and make informed decisions. Create predictive models for faster and more accurate forecasting and anomaly detection. TIM InstantML is a hyperautomated, augmented solution for machine learning for time series data to improve forecasting, anomaly detecting, and classification. TIM helps you discover the value of your data, and enables you leverage the power of prediction analytics. Automatic feature engineering of high quality while simultaneously adapting model structure and parameters. TIM offers flexible deployment options. Easy integration with your favorite platforms. TIM offers a variety of interfaces. TIM Studio offers a streamlined graphical user interface. With powerful, automated predictive analytics, you can become truly data-driven. Discover the predictive value of your data faster and more easily.

A generative AI platform which provides actionable insights in real-time from internal and external data. Maya automates repetitive tasks and provides intelligent suggestions to save time and effort. No longer do you need to spend hours manually filtering and manipulating data. Maya allows you to confidently make data-driven decisions. Maya's advanced model can provide insights and recommendations with different perspectives, formats and images. Personalization is also possible. Maya can provide valuable insights to help you generate accurate predictions, plans and recommendations based on new and historical data. Any external or historical data can be used to generate value. Maya makes it easy to voice-activate data retrieval. You can use text or voice to get the information you need. Maya AI can process and respond to queries effectively in different linguistic contexts.

The ProShop Management System Package consists of 14 modules that provide information to your print shop. The package includes all the modules from the Junior package, plus inventory, scheduling and job costing. The ProShop Management System consists of four modules that allow users to manage and schedule jobs, track job statuses, and control their raw and finished inventory. You can track the progress of each job in your shop and see costing variables so you can make a profit on each job. ProShop Scheduling lets you view all your jobs in the shop, from start to finish. You can drag and move the schedule to your liking using the progress table on the screen or by clicking and dragging the scheduled operations. You can easily update and modify the estimated time. You can either allow estimating to schedule the job or each job individually. ProShop Scheduling allows you to manage all your work flow and plan your day with a click of a mouse

This package can be used in any Python project independently. It is maintained by Zope Toolkit. This package implements Python's "object interfaces". Interfaces allow objects to be labeled as conforming to a contract or API. This package can be considered an implementation of Python's Design By Contract support. Interfaces are objects that document the external behavior of objects "provided" by them. An interface describes behavior through informal documentation, such as doc strings, attribute definitions and invariants. These are conditions that must be met for objects to provide the interface. Attribute definitions specify specific attributes. They provide documentation and constraints for attribute values. There are many ways to define attributes.

You can choose from a wide range of assets to jumpstart your AI project. The AI hub offers a wealth of artifacts to help you get started with your AI project. These include datasets, notebooks and industry AI starter kits. Access the best resources created by your company or from external sources. Prepare and manage your data to support model training. With a simple drag-and-drop interface, collect, organize, tag or select features and prepare datasets for model training. To tag large datasets, collaborate with multiple team members. To ensure quality data, you should implement a quality control system. Use the model wizards to create models in a few clicks. No data science knowledge is required. The system automatically selects the most suitable models for the problem and optimizes their training parameters. Advanced users can adjust the hyper-parameters and select models for optimal performance. One-click deployment to produce inference environments.

To make marketing intelligent, agile, and scalable, you need a strong AI blueprint. With the only hyper-contextual AI infrastructure, you can orchestrate data-driven marketing actions across all your efforts. Flexible AI models that can be trained on diverse datasets from multiple silos, which cater to the most diverse use cases. The infrastructure hosts models that are ready to go and require no training. Our UI makes it easy to use our proven algorithms and create custom rule-based strategies. You can enhance your campaigns across platforms by using the best strategies that are tailored to your specific parameters. To achieve the highest levels of efficiency, you can leverage self-evolving AI models which inform and interact with each other. You can access dedicated artificial intelligence systems that continuously learn, communicate, and optimize your marketing effectiveness.

Equifax Ignite® for Financial Services allows you to create optimized attributes and scores for more predictive analytics within your specific industry. Create powerful analyses, understand trends within financial services, and discover how well you are performing in certain areas relative to your peer groups.

Integrate COMSOL Multiphysics®, with MATLAB®, to extend your modeling and scripting programming within the MATLAB environment. LiveLink™, for MATLAB®, allows you to harness the power of MATLAB's toolboxes and preprocessing, modeling manipulation, and postprocessing. Multiphysics simulations can be used to enhance your MATLAB code. Your geometry modeling should be based on probabilistic or image data. Multiphysics models can be combined with Monte Carlo simulations or genetic algorithms. To incorporate COMSOL models into control systems, export COMSOL models in state-space matrix format. The COMSOL Desktop®, interface allows you to use MATLAB®, functions while modeling. To parameterize the geometry, physics or solution scheme, you can manipulate your models using the command line or script.

Catalyst, a Python-based algorithmic trading library for cryptoassets, is available. It allows trading strategies to easily be expressed and backtested against historical data (with minute and daily resolution), providing insights and analytics regarding a strategy's performance. Catalyst supports live trading of crypto-assets, starting with four exchanges (Binance Bitfinex, Bittrex and Poloniex), with more being added in the future. Catalyst allows users to share and curate information and create profitable, data-driven investments strategies. Visit catalystcrypto.io for more information about Catalyst. Catalyst is built on top of the Zipline project. To maximize compatibility with existing trading algorithm, developer knowledge, tutorials, and other API features, we tried to minimize structural changes. For technical support and questions about Catalyst, algorithmic trades, and more, join us on the Catalyst Forum.

Our Marketing Analytics and Optimization software provides a modern integrated environment for advanced investment analytics. The data visualization module allows users to examine and understand the visuals and statistics required to verify the data as well as form initial insights and hypothesis on what is driving demand. The core Modeling Module provides a comprehensive user-interface (UI) to specify a range dynamic linear panel models across all levels of client business. The user-specified models are integrated into the model database, which performs any required variable transformation. This is then transferred to OxMetrics' proprietary model estimation algorithm.

We can help you maximize your marketing data's value, even though every company has data challenges. We are an extension of your marketing team, and can be considered extended partners. Our goal is to make MarTech more efficient by integrating people and processes across platforms. You can achieve true data-driven decision making power when all three are in place. The MSIGHTS platform, a suite of integrated services and applications that were built from the ground up ensures your data is enterprise- and analytics-ready. You can take control of your marketing data and maximize its value. You can use our solution packages to solve specific problems or combine them to harness the full power MSIGHTS across all aspects of the data operations and marketing value chain. Each solution includes our data expertise and collaborative customer service team, from implementation to ongoing services.

ROIVENUE™, a marketing intelligence suite, is designed to maximize ROI through data driven attribution and integration. All your CRM, advertising, and web analytics data is in one place. Multi-touch attribution is a powerful tool to maximize your advertising spend.

The Microsoft Cognitive Toolkit is an open-source toolkit that allows commercial-grade distributed deep-learning. It describes neural networks using a directed graph, which is a series of computational steps. CNTK makes it easy to combine popular models such as feed-forward DNNs (CNNs), convolutional neural network (CNNs), and recurrent neural network (RNNs/LSTMs) with ease. CNTK implements stochastic grade descent (SGD, error-backpropagation) learning with automatic differentiation/parallelization across multiple GPUs or servers. CNTK can be used in your Python, C# or C++ programs or as a standalone machine learning tool via its own model description language (BrainScript). You can also use the CNTK model assessment functionality in your Java programs. CNTK is compatible with 64-bit Linux and 64-bit Windows operating system. You have two options to install CNTK: you can choose pre-compiled binary packages or you can compile the toolkit using the source available in GitHub.

Develop defensible, fact-based cost estimates. Unison Cost Engineering provides the tools, models, data, and frameworks required to produce accurate, on-time estimates. Integrate a range of applications to streamline the process from data to basis for estimate. Dynamically linking your technical solution with cost, schedule, or uncertainty estimates will reduce uncertainty. Automated generation of hundreds of critical production, development, and O&S decision-support metrics, such as T1 cost and unit production cost. With a highly optimized mathematical modeling program, you can create complex estimates in weeks instead of months and make changes to requirements in minutes. To improve estimation accuracy, link relevant historical data with predictive models. Keep track of historical data and report it to each estimate. This includes SME notes, cost estimation relationships, historical data points and sensitivity.