verto.sh

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

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

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

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

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.

Open source platform for the machine learning lifecycle

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.

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

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

cuML - RAPIDS Machine Learning Library

Instant Kubernetes-Native Application Observability

A Cloud Native Batch System (Project under CNCF)

scikit-learn: machine learning in Python

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.

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