Highlights
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Stars
An Open Source Machine Learning Framework for Everyone
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
A library for efficient similarity search and clustering of dense vectors.
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Distribute and run LLMs with a single file.
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …
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 comp…
LostRuins / koboldcpp
Forked from ggml-org/llama.cppRun GGUF models easily with a KoboldAI UI. One File. Zero Install.
Transformer related optimization, including BERT, GPT
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
An open-source implementation of the AlphaGoZero algorithm
Portable Executable reversing tool with a friendly GUI
Connect home devices into a powerful cluster to accelerate LLM inference. More devices means faster inference.
Parallel t-SNE implementation with Python and Torch wrappers.
StarCraft II Client - C++ library supported on Windows, Linux and Mac designed for building scripted bots and research using the SC2API.
Benchmarking Deep Learning operations on different hardware
**MOVED TO https://github.com/LeelaChessZero/leela-chess ** A chess adaption of GCP's Leela Zero
A platform that lets you build agents to learn to play StarCraft: Brood War.
Fast Fourier Transform-accelerated Interpolation-based t-SNE (FIt-SNE)
A tool for in-depth analysis of USB HID devices communication
A "large" language model running on a microcontroller
A fast and scalable C++ library for implicit-feedback matrix factorization models
An innovative library for efficient LLM inference via low-bit quantization
Source code for the TKET quantum compiler, Python bindings and utilities