A flexible and extensible framework for gait recognition. You can focus on designing your own models and comparing with state-of-the-arts easily with the help of OpenGait.

The official implementation for FakeFormer: Efficient Vulnerability-Driven Transformers for Generalisable Deepfake Detection

[ICCV2025] [FakeSTormer] Vulnerability-Aware Spatio-Temporal Learning for Generalizable Deepfake Video Detection

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

✨✨Latest Advances on Multimodal Large Language Models

The official implementation for LAA-Net: Localized Artifact Attention Network for Quality-Agnostic and Generalizable Deepfake Detection

[CVPR 2023 (Highlight)] Self-Supervised Video Forensics by Audio-Visual Anomaly Detection

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Pytorch for Triple-GAN

🔍 python package to evaluate GANs for video generation

PyTorch implementations of Generative Adversarial Networks.

Code for the CVPR 2020 paper 'Old is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm'

Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.

OpenMMLab Detection Toolbox and Benchmark

PyTorch implementation for semantic segmentation (DeepLabV3+, UNet, etc.)

Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC

Official Python toolkit for generic object tracking benchmark GOT-10k and beyond

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

An implementation for Siamese Region Proposal Network with PyTorch

A template for PyTorch projects.