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🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning
Style guides for Google-originated open-source projects
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
Keep searching, reading webpages, reasoning until it finds the answer (or exceeding the token budget)
Write scalable load tests in plain Python 🚗💨
Multiple NVIDIA GPUs or Apple Silicon for Large Language Model Inference?
Facilitating high-level interactions between Wasm modules and JavaScript
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
You like pytorch? You like micrograd? You love tinygrad! ❤️
Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚
A tool to convert markdown format to medium compatible html
Independent technology for modern publishing, memberships, subscriptions and newsletters.
An extremely fast Python linter and code formatter, written in Rust.
Model Context Protocol Servers
Lark is a parsing toolkit for Python, built with a focus on ergonomics, performance and modularity.
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
Interact with your documents using the power of GPT, 100% privately, no data leaks
A high-quality tool for convert PDF to Markdown and JSON.一站式开源高质量数据提取工具，将PDF转换成Markdown和JSON格式。
Making large AI models cheaper, faster and more accessible
📚 Learn to write an embedded OS in Rust 🦀
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
Hackable and optimized Transformers building blocks, supporting a composable construction.
The Levenshtein Python C extension module contains functions for fast computation of Levenshtein distance and string similarity