Functional local implementations of main model parallelism approaches

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

ACRONYM (Acronym CReatiON for You and Me)

A playbook for systematically maximizing the performance of deep learning models.

A general-purpose, deep learning-first library for constrained optimization in PyTorch

Language model alignment-focused deep learning curriculum

Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

EPFL Course - Optimization for Machine Learning - CS-439

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

DomainBed is a suite to test domain generalization algorithms

TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch

TensorLy: Tensor Learning in Python.

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

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

A python library for self-supervised learning on images.

JAX-based neural network library

Python library for converting Python calculations into rendered latex.

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained

Gemini is a modern LaTex beamerposter theme 🖼

Riemannian Adaptive Optimization Methods with pytorch optim

starter from "How to Train a GAN?" at NIPS2016

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.