Awesome Machine Learning

An Open Source Machine Learning Framework for Everyone

Open Source Computer Vision Library

Caffe: a fast open framework for deep learning.

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

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

MLX: An array framework for Apple silicon

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

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.

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

Fit interpretable models. Explain blackbox machine learning.

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

Shōgun

ThunderSVM: A Fast SVM Library on GPUs and CPUs

ThunderGBM: Fast GBDTs and Random Forests on GPUs

Ruby language bindings for LIBSVM