Transformer在CV和NLP领域的变体模型的从零解读：Transformer；VIT；Swin Transformer

CrossNorm and SelfNorm for Generalization under Distribution Shifts, ICCV 2021

A Tensorflow re-implementation of batch renormalization, first introduced by Sergey Ioffe.

Implementation of feature engineering from Feature engineering strategies for credit card fraud

PyTorch implementation of AlexNet

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet…

Basic implementation of ResNet 50, 101, 152 in PyTorch

Batch Renormalization in Pytorch

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

An official collection of code in different frameworks that reproduces experiments in "Group Normalization"

Mean-Shifted Contrastive Loss for Anomaly Detection (AAAI 2023)

Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。

cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

FAst Lookups of Cosine and Other Nearest Neighbors (based on fast locality-sensitive hashing)

Benchmarks of approximate nearest neighbor libraries in Python

Neural LSH [ICLR 2020] - Using supervised learning to produce better space partitions for fast nearest neighbor search.

min-hash and p-stable hash

It is a forest of random projection trees

Pytorch Deep Clustering with Convolutional Autoencoders implementation

The deep residual shrinkage network is a variant of deep residual networks.

Outdated, see new https://github.com/braindecode/braindecode

Mother of All BCI Benchmarks

This repository contains all the papers accepted in top conference of computer vision, with convenience to search related papers.

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

算法工程师(人工智能CV方向)面试问题及相关资料

A treasure chest for visual classification and recognition powered by PaddlePaddle

🤖 PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+

The implementation of various lightweight networks by using PyTorch. such as：MobileNetV2，MobileNeXt，GhostNet，ParNet，MobileViT、AdderNet，ShuffleNetV1-V2，LCNet，ConvNeXt，etc. ⭐⭐⭐⭐⭐