qadence

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

List of Computer Science courses with video lectures.

Deep Learning for humans

A curated list of software and architecture related design patterns.

Making large AI models cheaper, faster and more accessible

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

? 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.

Learn and understand Docker&Container technologies, with real DevOps practice!

Flexible Fortran Modules and Subroutines for Scientific Computing