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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.

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

Deep Learning for humans

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

Deep universal probabilistic programming with Python and PyTorch

Probabilistic reasoning and statistical analysis in TensorFlow

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

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.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Instant Kubernetes-Native Application Observability

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.

The AI search platform

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

Type-safe, distributed orchestration of agents, ML pipelines, and real-time inference on your k8s — in pure Python with async/await, also other languages (rust, go and ts)

scikit-learn: machine learning in Python