zhongqing0507's starred repositories
Blend_Image
Blend two images
Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Video-Swin-Transformer
This is Video Swin Transformer to recognize the video with Machine Vision
video-swin-transformer-pytorch
Video Swin Transformer - PyTorch
Nodejs-Roadmap
【Nodejs-Roadmap】侧重于 Node.js 服务端的开发指南,公众号 “Nodejs技术栈”
LeetCode-Solutions-in-Good-Style
首页已经更新,希望能对大家有帮助。
rabbitmq-tutorials
Tutorials for using RabbitMQ in various ways
fucking-algorithm
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
ml-visuals
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
CBAM.PyTorch
Non-official implement of Paper:CBAM: Convolutional Block Attention Module
two-stream-action-recognition
Using two stream architecture to implement a classic action recognition method on UCF101 dataset
CV_Spatiotemporal_Feature_3D_CNN
Spatiotemporal
3D-ResNets-PyTorch
3D ResNets for Action Recognition (CVPR 2018)
latent-subevents
This repository contains the code for our AAAI 2017 paper, "Learning Latent Sub-events in Activity Videos Using Temporal Attention Filters"
Squeeze-and-Recursion-Temporal-Gates
Code for : [Pattern Recognit. Lett. 2021] "Learn to cycle: Time-consistent feature discovery for action recognition" and [IJCNN 2021] "Multi-Temporal Convolutions for Human Action Recognition in Videos".
representation-flow-cvpr19
Code and models for our CVPR'19 paper "Representation Flow for Action Recognition"
ECO-pytorch
PyTorch implementation for "ECO: Efficient Convolutional Network for Online Video Understanding", ECCV 2018
Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
code-of-learn-deep-learning-with-pytorch
This is code of book "Learn Deep Learning with PyTorch"
pytorch-lstm-by-hand
A small and simple tutorial on how to craft a LSTM nn.Module by hand on PyTorch.
eat_pytorch_in_20_days
Pytorch🍊🍉 is delicious, just eat it! 😋😋
leedl-tutorial
《李宏毅深度学习教程》(李宏毅老师推荐👍),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases
deep-learning-book
《Deep Learning》《深度学习》 by Ian Goodfellow, Yoshua Bengio and Aaron Courville