BizhuWu's repositories
C3D_PyTorch
This project includes the whole training process.
Person_reID_baseline_pytorch
A tiny, friendly, strong pytorch implement of person re-identification baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
pytorch-video-recognition
PyTorch implemented C3D, R3D, R2Plus1D models for video activity recognition.
2s-AGCN
Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition in CVPR19
Audio_classification
Audio file classification using their mel spectrograms.
awesome-action-recognition
A curated list of action recognition and related area resources
C3D-LSTM--PyTorch
C3D-LSTM implementation in PyTorch
CLIP
Contrastive Language-Image Pretraining
deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
deepcluster
Deep Clustering for Unsupervised Learning of Visual Features
deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
early-stopping-pytorch
Early stopping for PyTorch
kinetics-i3d
Convolutional neural network model for video classification trained on the Kinetics dataset.
neural-style
Torch implementation of neural style algorithm
neural-style-pytorch
📄 PyTorch implementation of "A Neural Algorithm of Artistic Style" (arXiv:1508.06576)
OpenMMLabCourse
OpenMMLab course index and materials
pygcn
Graph Convolutional Networks in PyTorch
Skeletons_Visualizer
Visualizer tool for skeletons captured from Kinect V2
st-gcn
Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch
SupContrast
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
VCP
Unofficial implement of "Video cloze procedure for self-supervised spatio-temporal learning" [AAAI20]
video-clip-order-prediction
Self-supervised Spatiotemporal Learning via Video Clip Order Prediction
XDC
Self-Supervised Learning by Cross-Modal Audio-Video Clustering (NeurIPS 2020)