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

Models and examples built with TensorFlow

Datasets, Transforms and Models specific to Computer Vision

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

Stable Diffusion web UI

XLNet: Generalized Autoregressive Pretraining for Language Understanding

[ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model

Official PyTorch implementation of "I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image", ECCV 2020

SelFlow: Self-Supervised Learning of Optical Flow

A structured implementation of MuZero

Data and code for the paper "A Neural Network Solves, Explains, and Generates University Math Problems by Program Synthesis and Few-Shot Learning at Human Level" by Drori et al., 2022.

Official Implementation of "DeepCaps: Going Deeper with Capsule Networks" paper (CVPR 2019).

📽 Capture and develop clips of openpilot. UI optional. Already deployed on Replicate.com for YOUR immediate use!

PyTorch Implementation of "DeepCaps: Going Deeper with Capsule Networks" by Jathushan Rajasegaran et al.