Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
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DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Making large AI models cheaper, faster and more accessible
Teams-first Multi-agent orchestration for Claude Code
:zap: A Fast, Extensible Progress Bar for Python and CLI
Open source Ghostty-based macOS terminal with vertical tabs and notifications for AI coding agents. Built for multitasking, organization, and programmability.
Bend 2: a fast language that blocks AI mistakes via proof. Install: curl -fsSL https://bend-lang.com/install.sh | sh
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）
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 tasks.
A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support
Modern Java - A Guide to Java 8
Paradev (formerly Superset) is an agentic IDE to orchestrate 100+ coding agents in parallel. Run any agent with your own subscription.
A hyperparameter optimization framework
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.
C++ Parallel Computing and Asynchronous Networking Framework
Parallel computing with task scheduling
Rayon: A data parallelism library for Rust
A General-purpose Task-parallel Programming System in C++
HVM1 (2022): a massively parallel, optimal functional runtime in Rust
NumPy aware dynamic Python compiler using LLVM
✨ Create server-rendered universal JavaScript applications with no configuration
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
A Ruby/Rack web server built for parallelism
A next-generation plugin manager for zsh — manage plugins, commands, and themes from GitHub, Bitbucket, oh-my-zsh, prezto, and more with parallel installation and lazy loading.