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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Nov 12, 2026 - Python
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Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
python data-science machine-learning reinforcement-learning deep-learning deployment tensorflow optimization parallel pytorch distributed hyperparameter-optimization ray hyperparameter-search serving rllib large-language-models llm llm-serving llm-inference
Bend 2: a fast language that blocks AI mistakes via proof. Install: curl -fsSL https://bend-lang.com/install.sh | sh
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.
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A hyperparameter optimization framework
A General-purpose Task-parallel Programming System in C++
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✨ Create server-rendered universal JavaScript applications with no configuration
Napa.js: a multi-threaded JavaScript runtime
Run commands concurrently. Like `npm run watch-js & npm run watch-less` but better.
A CLI tool to run multiple npm-scripts in parallel or sequential.
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Reliable PostgreSQL Backup & Restore
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Metarhia educational program index 📖
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The official repository for ROOT: analyzing, storing and visualizing big data, scientifically
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Easy multi-core processing utilities for Node.
A family of header-only, very fast and memory-friendly hashmap and btree containers.
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BS::thread_pool: a fast, lightweight, modern, and easy-to-use C++17 / C++20 / C++23 thread pool library
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Long Video Gen / World Model / World Action Model (Embodied) Infrastructure
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