Long-form text-to-images generation, using a pipeline of deep generative models (GPT-3 and Stable Diffusion)

[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

The official pytorch implementation of our paper "Is Space-Time Attention All You Need for Video Understanding?"

Flax is a neural network library for JAX that is designed for flexibility.

Open Source Neural Machine Translation and (Large) Language Models in PyTorch

💫 Industrial-strength Natural Language Processing (NLP) in Python

Memory Networks implementations

Library for fast text representation and classification.

A tutorial about neural machine translation including tips on building practical systems

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

An Open Source Machine Learning Framework for Everyone

Benchmarks for several RNN variations with different deep-learning frameworks

Automatically exported from code.google.com/p/chromium-compact-language-detector

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

Optimization Algorithms in Python

Fast regression modeling framework

Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Laroche…

A dynamic programming toolkit.

A Julia package for disciplined convex programming

TH++, C++ interface to the torch7 TH library

An open-source C++ library developed and used at Facebook.