Compiling JAX to WebAssembly for exploring client-side machine learning
An Open Source Machine Learning Framework for Everyone
? Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Deep Learning for humans
YOLOv5 ? in PyTorch > ONNX > CoreML > TFLite
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Visualizer for neural network, deep learning and machine learning models
? Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
