cuML - RAPIDS Machine Learning Library

mlpack: a fast, header-only C++ machine learning library

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

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.

Topic Modelling for Humans

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

Repository which contains links and resources on different topics of Computer Science.

A Cloud Native Batch System (Project under CNCF)

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.

The open big data serving engine. https://vespa.ai

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

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 library for training and deploying machine learning models on Amazon SageMaker

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.

Probabilistic reasoning and statistical analysis in TensorFlow