Use any language, AI framework, and compute environment. Integrate and version any kind of data to reuse in any project, experiment, and/or notebook
Use any development environment like JupyterLab, RStudio, and more with pre-installed dependencies and version control
One unified environment to manage, build and deploy your machine learning with all your favorite data science tools
An open source library and framework used by data scientists to design, build, and train deep learning models and large-scale machine learning
An Python open source neural network library used for fast experimentation with deep neural networks
An open source machine learning library used for computer vision and natural language processing (NLP)
Also known as Scikit-learn, SKLearn is a free Python machine learning library featured various classification, regression and clustering algorithms including support for vector machines, random forests, and gradient poosting
A programming language and free software environment for statistical computing and graphics commonly used by statisticians and data miners
An intuitive and simplistic language and framework to program your machine learning models
A data science framework and open source software library for executing end-to-end data science on graphics processing units (GPUs)
A high-level programming language used to write any application and is well-suited for numerical analysis and computational science
An open source deep learning framework specializing in language, machine vision, and multimedia
Announcing CORE, a free ML Platform for the community to help data scientists focus more on data science and less on technical complexity
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