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? Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Deep Learning for humans

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

? Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

? Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

Python sample codes and textbook for robotics algorithms.