Starred repositories
An extremely fast Python package and project manager, written in Rust.
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 control…
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
The repo is finally unlocked. enjoy the party! The fastest repo in history to surpass 100K stars ⭐. Join Discord: https://discord.gg/5TUQKqFWd Built in Rust using oh-my-codex.
High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios
An Open Source Machine Learning Framework for Everyone
The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
A graph database that supports more than 100+ billion data, high performance and scalability (Include OLTP Engine & REST-API & Backends)
SGLang is a high-performance serving framework for large language models and multimodal models.
SeaweedFS is a distributed storage system for object storage (S3), file systems, and Iceberg tables, designed to handle billions of files with O(1) disk access and effortless horizontal scaling.
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…
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
A high-throughput and memory-efficient inference and serving engine for LLMs
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on Hopper, Ada and Blackwell GPUs, to provide better performance…
The fundamental package for scientific computing with Python.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Lightweight in-process concurrent programming
Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
A collection of C++ HTTP libraries including an easy to use HTTP server.
Optimized primitives for collective multi-GPU communication
Streamlit — A faster way to build and share data apps.
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K…
A modern GUI client based on Tauri, designed to run in Windows, macOS and Linux for tailored proxy experience
A library for efficient similarity search and clustering of dense vectors.