A python library for self-supervised learning on images.

This is an official implementation for "Video Swin Transformers".

PyTorch code and models for the DINOv2 self-supervised learning method.

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

Code Release for MViTv2 on Image Recognition.

A deep learning library for video understanding research.

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

Code + pre-trained models for the paper Keeping Your Eye on the Ball Trajectory Attention in Video Transformers

OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning

PHYRE is a benchmark for physical reasoning.

Code release for ICLR 2023 paper: SlotFormer on object-centric dynamics models

Code release for ConvNeXt model

PyTorch implementation of the R2Plus1D convolution based ResNet architecture described in the paper "A Closer Look at Spatiotemporal Convolutions for Action Recognition"

VMZ: Model Zoo for Video Modeling

Unsupervised Learning of Video Representations using LSTMs

Moving MNIST as PyTorch Dataset

VICReg official code base

A library for evaluating representations.

Deep Inside-Outside Recursive Autoencoder

Code for paper "IntPhys: A Benchmark and Dataset for Intuitive Physics".

PyTorch implementation of the CortexNet predictive model

MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases

Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"

SEAL (learning from Subgraphs, Embeddings, and Attributes for Link prediction). "M. Zhang, Y. Chen, Link Prediction Based on Graph Neural Networks, NeurIPS 2018 spotlight".

EEN: Error Encoding Network

LSTM and CNN sentiment analysis

Improved WGAN in Pytorch