Clone a voice in 5 seconds to generate arbitrary speech in real-time

Deepfakes Software For All

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

Anomaly detection related books, papers, videos, and toolboxes

Fast Segment Anything

A library to generate LaTeX expression from Python code.

[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

Semantic Segmentation Architectures Implemented in PyTorch

Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning

[ECCV 2024] Official implementation of the paper "Semantic-SAM: Segment and Recognize Anything at Any Granularity"

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

README and scripts for the Cityscapes Dataset

Automated dense category annotation engine that serves as the initial semantic labeling for the Segment Anything dataset (SA-1B).

Awesome Lists for Tenure-Track Assistant Professors and PhD students. (助理教授/博士生生存指南)

[arXiv 2023] Set-of-Mark Prompting for GPT-4V and LMMs

A central hub for gathering and showcasing amazing projects that extend OpenMMLab with SAM and other exciting features.

Deep Learning Tutorial for Kaggle Ultrasound Nerve Segmentation competition, using Keras

Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018

[CVPR 2023] Query-Centric Trajectory Prediction

[CVPR 2022] HiVT: Hierarchical Vector Transformer for Multi-Agent Motion Prediction

The code for "Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions (AAAI 2022)"

Code for "Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction" CVPR 2020

[CVPR22] Official Implementation of DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation

[ECCV2020 Oral] Learning Lane Graph Representations for Motion Forecasting

[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"

[ECCV 2020] Code for "Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction"

Code for "Transformer Networks for Trajectory Forecasting"

Code and model for "Peeking into the Future: Predicting Future Person Activities and Locations in Videos", Liang et al, CVPR 2019