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a language for fast, portable data-parallel computation
An Open Source Machine Learning Framework for Everyone
Empowering everyone to build reliable and efficient software.
You like pytorch? You like micrograd? You love tinygrad! ❤️
🤗 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.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference
Get up and running with Kimi-K2.5, GLM-5, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
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 distributed approximate nearest neighborhood search (ANN) library which provides a high quality vector index build, search and distributed online serving toolkits for large scale vector search sc…
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
Time series forecasting with PyTorch
A WebGL accelerated JavaScript library for training and deploying ML models.
Examples built with TensorFlow.js
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Models and examples built with TensorFlow
Relax! Flux is the ML library that doesn't make you tensor
Seamless operability between C++11 and Python
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
A catalogue of Rust design patterns, anti-patterns and idioms
Mastering Ethereum: 2nd Edition, by Andreas M. Antonopoulos, Gavin Wood, Carlo Parisi, Alessandro Mazza, Niccolò Pozzolini
Header-only C++/python library for fast approximate nearest neighbors