Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

🧬 Generative modeling of regulatory DNA sequences with diffusion probabilistic models 💨

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

Implementation of 🦩 Flamingo, state-of-the-art few-shot visual question answering attention net out of Deepmind, in Pytorch

CaMEL: Mean Teacher Learning for Image Captioning. ICPR 2022

Latex code for making neural networks diagrams

Open source code for AlphaFold.

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute

[CVPR 2021] VirTex: Learning Visual Representations from Textual Annotations

End-to-End Object Detection with Transformers

PyTorch code for EMNLP 2019 paper "LXMERT: Learning Cross-Modality Encoder Representations from Transformers".

Molecular Generation for Desired Transcriptome Changes with Adversarial Autoencoders

Generative Tensorial Reinforcement Learning (GENTRL) model

This repository contains implementations and illustrative code to accompany DeepMind publications

UmBERTo: an Italian Language Model trained with Whole Word Masking.

COVID-19 Italia - Monitoraggio situazione

UPSNet: A Unified Panoptic Segmentation Network

Named Tensor implementation for Torch

Riemannian Adaptive Optimization Methods with pytorch optim