verto.sh

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

A Cloud Native Batch System (Project under CNCF)

Streamlit — A faster way to build and share data apps.

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

ML.NET is an open source and cross-platform machine learning framework for .NET.

🦉 ML Experiments Management with Git

A hyperparameter optimization framework

Probabilistic reasoning and statistical analysis in TensorFlow

A library for training and deploying machine learning models on Amazon SageMaker

DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.