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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Develop precise machine learning models using limited, sparse, and high-dimensional datasets without the need for extensive feature engineering by generating statistically optimized data representations. By mastering the extraction and representation of intricate relationships within your existing data, Dark Matter enhances model performance and accelerates training processes, allowing data scientists to focus more on solving complex challenges rather than spending excessive time on data preparation. The effectiveness of Dark Matter is evident, as it has resulted in notable improvements in model precision and F1 scores when predicting customer conversions in online retail. Furthermore, performance metrics across various models experienced enhancements when trained on an optimized embedding derived from a sparse, high-dimensional dataset. For instance, utilizing a refined data representation for XGBoost led to better predictions of customer churn in the banking sector. This solution allows for significant enhancements in your workflow, regardless of the model or industry you are working in, ultimately facilitating a more efficient use of resources and time. The adaptability of Dark Matter makes it an invaluable tool for data scientists aiming to elevate their analytical capabilities.

Description

Simulistics specializes in the creation and distribution of Simile, a sophisticated software designed for modeling and simulating intricate dynamic systems within the domains of earth, environmental, and life sciences. Our proprietary logic-based declarative modeling technology enables a clear and visually intuitive representation of interactions within these systems. By utilizing Simile, scientific researchers find the process of modeling significantly more efficient, as it allows for quicker preparation of models, easier sharing of resources, and more effective maintenance practices. Additionally, our software features an object-based representation that facilitates the handling of disaggregation and individual-based modeling. Users can benefit from auto-generated C++ model code, ensuring rapid execution times. One of the standout features includes plug-and-play modules, which allow for modular modeling; this means any component of a model can be extracted and utilized independently. Moreover, our plug-in displays empower users to create tailored graphics that suit their specific fields. With declarative model representation at its core, manipulating complex models becomes a straightforward endeavor, enhancing overall productivity in scientific investigations. Ultimately, Simile stands out as a versatile tool that meets the diverse needs of researchers in various scientific disciplines.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$300.00/one-time/user
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Ensemble

Founded

2023

Country

United States

Website

ensemblecore.ai/

Vendor Details

Company Name

Simulistics

Founded

2000

Country

United Kingdom

Website

simulistics.com

Product Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Product Features

Simulation

1D Simulation
3D Modeling
3D Simulation
Agent-Based Modeling
Continuous Modeling
Design Analysis
Direct Manipulation
Discrete Event Modeling
Dynamic Modeling
Graphical Modeling
Industry Specific Database
Monte Carlo Simulation
Motion Modeling
Presentation Tools
Stochastic Modeling
Turbulence Modeling

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