VaViM and VaVAM: Autonomous Driving through Video Generative Modeling (official repository).

🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning

Official implementation of PointBeV: A Sparse Approach to BeV Predictions

Official implementation of the paper "Unifying GANs and Score-Based Diffusion as Generative Particle Models", NeurIPS 2023

[ICLR2025] Halton Scheduler for Masked Generative Image Transformer

Official Jax Implementation of MaskGIT

Code for paper Unsupervised Object Segmentation by Redrawing

A curated list of resources on implicit neural representations.

Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting

PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]

StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

GAN(TK)²: GAN Neural Tangent Kernel ToolKit

[CVPR 2021] Linear Semantics in Generative Adversarial Networks

Generative Adversarial Transformers

Fast and Easy Infinite Neural Networks in Python

Official implementation of the paper Stochastic Latent Residual Video Prediction

Code for NeurIPS 2019 paper Emergence of Object Segmentation in Perturbed Generative Models

Repository for Unsupervised Inpainting for Occluded Sea Surface Temperature Sequences (Yin et al., 2019)

disentanglement_lib is an open-source library for research on learning disentangled representations.

Sprites video data used in the ICML 2018 paper

code for "Isolating Sources of Disentanglement in Variational Autoencoders".

Dynamic Neural Language Models

An implementation using pytorch of the models presented in the Multi-View Data Generation Without View Supervision paper.

Code for the paper "Spatio-Temporal Neural Networks for Space-Time Series Modeling and Relations Discovery"