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Open source platform for machine learning. TensorFlow is a machine learning platform that is open-source and available to all. It offers a flexible, comprehensive ecosystem of tools, libraries, and community resources that allows researchers to push the boundaries of machine learning. Developers can easily create and deploy ML-powered applications using its tools. Easy ML model training and development using high-level APIs such as Keras. This allows for quick model iteration and debugging. No matter what language you choose, you can easily train and deploy models in cloud, browser, on-prem, or on-device. It is a simple and flexible architecture that allows you to quickly take new ideas from concept to code to state-of the-art models and publication. TensorFlow makes it easy to build, deploy, and test.

Kubernetes (K8s), an open-source software that automates deployment, scaling and management of containerized apps, is available as an open-source project. It organizes containers that make up an app into logical units, which makes it easy to manage and discover. Kubernetes is based on 15 years of Google's experience in running production workloads. It also incorporates best-of-breed practices and ideas from the community. Kubernetes is built on the same principles that allow Google to run billions upon billions of containers per week. It can scale without increasing your operations team. Kubernetes flexibility allows you to deliver applications consistently and efficiently, no matter how complex they are, whether you're testing locally or working in a global enterprise. Kubernetes is an open-source project that allows you to use hybrid, on-premises, and public cloud infrastructures. This allows you to move workloads where they are most important.

Git is an open-source distributed version control system that can handle small to very large projects quickly and efficiently. Git is simple to learn, has a small footprint, and delivers lightning fast performance. It is superior to SCM tools such as Subversion, CVS and Perforce. Git also has features such as cheap local branching and convenient staging areas.

Amazon Simple Storage Service (Amazon S3), an object storage service, offers industry-leading scalability and data availability, security, performance, and scalability. Customers of all sizes and industries can use Amazon S3 to store and protect any amount data for a variety of purposes, including data lakes, websites and mobile applications, backup, restore, archive, enterprise apps, big data analytics, and IoT devices. Amazon S3 offers easy-to-use management tools that allow you to organize your data and set up access controls that are tailored to your business, organizational, or compliance needs. Amazon S3 is built for 99.999999999% (11 9,'s) of durability and stores data for millions applications for companies around the globe. You can scale your storage resources to meet changing demands without having to invest upfront or go through resource procurement cycles. Amazon S3 is designed to last 99.999999999% (11 9,'s) of data endurance.

All sizes of companies can use object storage. You can store any amount of data. You can retrieve it as often and as often as you like. You can configure your data with Object Lifecycle Management to automatically transition to lower cost storage classes when it meets certain criteria, such as when it reaches a certain date or when you have stored a newer version. Cloud Storage offers a growing number of storage locations that you can store your data, with multiple redundancy options. You can choose where and how to store your data, regardless of whether you want to optimize for a split-second response or create a robust disaster recovery strategy. Two highly efficient online routes to Cloud Storage are Storage Transfer Service and Transfer Service. Both offer the speed and scalability you need to make data transfers faster. Our Transfer Appliance is a shippable storage device that can be used for offline data transfer.

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.

Jenkins, the most popular open-source automation server, provides hundreds of plugins that can be used to build, deploy, and automate any project. Jenkins is an extensible automation server that can be used to create CI servers or become the continuous delivery hub for any project. Jenkins is a Java-based program that can be run straight out of the box. It includes packages for Windows, Linux and macOS, as well as other Unix-like operating system packages. Jenkins is easy to set up and configure via its web interface. It also includes built-in help and on-the-fly error checking. Jenkins can be integrated with almost every tool in the Continuous Integration and Continuous Delivery toolchain thanks to the hundreds of plugins available in the Update Center. Jenkins' plugin architecture allows for almost unlimited possibilities. Jenkins makes it easy to distribute work across multiple machines. This helps drive builds, tests, and deployments across multiple platforms more quickly.

Illuminate dark data and accelerate data-driven transformation with intelligent data operations to enable an edge-to-cloud data fabric. Pentaho products automate onboarding, integrating, governing, and publishing trusted data, with an intelligent composable data platform to automate data management needs.

Amazon Elastic Compute Cloud (Amazon EC2) provides secure, resizable cloud computing capacity. It was designed to make cloud computing at web scale easier for developers. Amazon EC2's web service interface makes it easy to configure and obtain capacity with minimal effort. It gives you complete control over your computing resources and allows you to run on Amazon's proven computing environment.

Definitive functions are the heart of extensible programming. Python supports keyword arguments, mandatory and optional arguments, as well as arbitrary argument lists. It doesn't matter if you are a beginner or an expert programmer, Python is easy to learn. Python is easy to learn, whether you are a beginner or an expert in other languages. These pages can be a helpful starting point to learn Python programming. The community hosts meetups and conferences to share code and much more. The documentation for Python will be helpful and the mailing lists will keep in touch. The Python Package Index (PyPI), hosts thousands of third-party Python modules. Both Python's standard library and the community-contributed modules allow for endless possibilities.

Keras is an API that is designed for humans, not machines. Keras follows best practices to reduce cognitive load. It offers consistent and simple APIs, minimizes the number required for common use cases, provides clear and actionable error messages, as well as providing clear and actionable error messages. It also includes extensive documentation and developer guides. Keras is the most popular deep learning framework among top-5 Kaggle winning teams. Keras makes it easy to run experiments and allows you to test more ideas than your competitors, faster. This is how you win. Keras, built on top of TensorFlow2.0, is an industry-strength platform that can scale to large clusters (or entire TPU pods) of GPUs. It's possible and easy. TensorFlow's full deployment capabilities are available to you. Keras models can be exported to JavaScript to run in the browser or to TF Lite for embedded devices on iOS, Android and embedded devices. Keras models can also be served via a web API.

Ansible is an automation engine that automates cloud provisioning and configuration management, application deployment, intraservice orchestration, and many other IT requirements.

Elastic is a search company. Elasticsearch, Kibana Beats, Logstash, and Elasticsearch are the founders of the ElasticStack. These SaaS offerings allow data to be used in real-time and at scale for analytics, security, search, logging, security, and search. Elastic has over 100,000 members in 45 countries. Elastic's products have been downloaded more than 400 million times since their initial release. Today, thousands of organizations including Cisco, eBay and Dell, Goldman Sachs and Groupon, HP and Microsoft, as well as Netflix, Uber, Verizon and Yelp use Elastic Stack and Elastic Cloud to power mission critical systems that generate new revenue opportunities and huge cost savings. Elastic is headquartered in Amsterdam, The Netherlands and Mountain View, California. It has more than 1,000 employees in over 35 countries.

VNC®, Connect is screen-sharing software that allows you to connect to any remote computer around the world, view its screen in real time, and take control of the system as if you were sitting right in front.

OVHcloud gives technologists and businesses complete control, allowing them to start their own business. We are a global technology company that provides developers, entrepreneurs, and businesses with dedicated software, infrastructure, and server building blocks to manage, scale, and secure their data. We have always challenged the status-quo and strived to make technology affordable and accessible throughout our history. We believe that an open ecosystem and open cloud is essential to our future in today's digital world. This will allow all to flourish and customers to choose how, when, and where they want to manage their data. We are a trusted global company with more than 1.5 million customers. We manufacture servers, manage 30 datacenters, as well as operate our own fiber-optic network. We are open to powering your data with our products, support, thriving ecosystem, and passionate employees.

The Java™, Programming Language is a general purpose, concurrent, strongly typed and class-based object-oriented programming language. It is usually compiled according to the Java Virtual Machine Specification's bytecode instruction set. All source code in the Java programming language is first written in plain text files that end with the.java extension. The javac compiler compiles these source files into.class files. A.class file doesn't contain native code for your processor. Instead, it contains bytecodes (the machine language of the Java Virtual Machine1 [Java VM]). The java launcher tool will then run your application with an instance Java Virtual Machine.

The Apache Cassandra database provides high availability and scalability without compromising performance. It is the ideal platform for mission-critical data because it offers linear scalability and demonstrated fault-tolerance with commodity hardware and cloud infrastructure. Cassandra's ability to replicate across multiple datacenters is first-in-class. This provides lower latency for your users, and the peace-of-mind that you can withstand regional outages.

RabbitMQ is lightweight, portable, and easy to use on the premises or in the cloud. It supports multiple messaging protocols. RabbitMQ can both be deployed in distributed or federated configurations to meet high availability and scale requirements.

Project Jupyter is an open-source project that develops open-standards software and services for interactive computing in dozens of programming languages. JupyterLab provides a web-based interactive environment for Jupyter notebooks and code. JupyterLab's user interface is flexible. You can configure and arrange it to support a variety of workflows in data science and scientific computing. JupyterLab can be extended and modified to add new components or integrate with existing ones. Open-source web application, Jupyter Notebook, allows you to create and share documents with live code, equations and visualizations. Data cleaning and transformation, numerical modeling, statistical modeling and data visualization are just a few of the many uses. Jupyter supports more than 40 programming languages, including Python and R, Julia, Scala, and Scala.

Apache Hive™, a data warehouse software, facilitates the reading, writing and management of large datasets that are stored in distributed storage using SQL. Structure can be projected onto existing data. Hive provides a command line tool and a JDBC driver to allow users to connect to it. Apache Hive is an Apache Software Foundation open-source project. It was previously a subproject to Apache® Hadoop®, but it has now become a top-level project. We encourage you to read about the project and share your knowledge. To execute traditional SQL queries, you must use the MapReduce Java API. Hive provides the SQL abstraction needed to integrate SQL-like query (HiveQL), into the underlying Java. This is in addition to the Java API that implements queries.

PowerShell is a cross platform task automation and configuration management framework. It consists of a command-line shell as well as a scripting language. PowerShell, unlike other shells that accept and return text, is built on top the.NET Common Language Runtime. (CLR) and accepts and returns.NET object. This fundamental change introduces new tools and methods of automation. PowerShell cmdlets can deal with objects, rather than traditional command-line interfaces. An object is structured information, which is more than the string of characters displayed on the screen. Command output always contains additional information that you can access if you require it. You'll notice a difference in how text-processing tools behave in PowerShell if you've previously used them to process data. To extract specific information, you don’t usually need text-processing software. You can directly access parts of the data by using standard PowerShell object syntax.

TorchScript allows you to seamlessly switch between graph and eager modes. TorchServe accelerates the path to production. The torch-distributed backend allows for distributed training and performance optimization in production and research. PyTorch is supported by a rich ecosystem of libraries and tools that supports NLP, computer vision, and other areas. PyTorch is well-supported on major cloud platforms, allowing for frictionless development and easy scaling. Select your preferences, then run the install command. Stable is the most current supported and tested version of PyTorch. This version should be compatible with many users. Preview is available for those who want the latest, but not fully tested, and supported 1.10 builds that are generated every night. Please ensure you have met the prerequisites, such as numpy, depending on which package manager you use. Anaconda is our preferred package manager, as it installs all dependencies.

Pandas is an open-source data analysis and manipulation tool that is fast, flexible, flexible, and easy to use. It was built on top the Python programming language. Tools for reading and writing data between memory data structures and various formats: CSV, text files, Microsoft Excel, SQL databases and the fast HDF5 format. Intelligent data alignment and integrated handling missing data: Use a powerful group engine to perform split-apply/combine operations on data sets. Time series-functionality: date range generation and frequency conversion, moving window statistics, date shifting and lagging. You can even create domain-specific offsets and join time sequences without losing data.

Apache Kafka®, is an open-source distributed streaming platform.

MySQL is the most widely used open-source database in the world. MySQL is the most popular open source database for web-based applications. It has been proven to be reliable, performant, and easy-to-use. This database is used by many high-profile web properties, including Facebook, Twitter and YouTube. It is also a popular choice for embedded databases, distributed by thousands ISVs and OEMs.