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OpenMMLab course index and stuff
A Collection of Papers and Codes for CVPR2024/CVPR2021/CVPR2020 Low Level Vision
OpenMMLab Detection Toolbox and Benchmark
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image classification, in Pytorch
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet…
Image Classification Model in PyTorch for Indoor Scene Recognition
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
🥡 Git recipes in Chinese by Zhongyi Tong. 高质量的Git中文教程.
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
Python implementation of Traclus algorithm, for 2-D trajectories
code for "Trajectory clustering via deep representation learning"
Python implementation of multi-object tracking using min-cost flow
Build a LSTM encoder-decoder using PyTorch to make sequence-to-sequence prediction for time series data
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained
Recurrent Neural Network - A curated list of resources dedicated to RNN
Object Tracking using CNN and RNN in Tensorflow
Latex code for making neural networks diagrams
TrackR-CNN baseline method for Multi-Object Tracking and Segmentation (MOTS)
[IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking
A Python implementation of the Kanade–Lucas–Tomasi (KLT) feature tracker