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Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

scikit-learn: machine learning in Python

Deep universal probabilistic programming with Python and PyTorch

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

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

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

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

The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.

Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.

A Cloud Native Batch System (Project under CNCF)

The Julia Programming Language

The AI search platform

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows.

.NET for Apache® Spark™ makes Apache Spark™ easily accessible to .NET developers.