Chaofei's repositories
2022-CV-Surveys
2021 年，计算机视觉相关综述。包括目标检测、跟踪........
albumentations
Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Awesome-Backbones
Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project
Awesome-Federated-Learning
Federated Learning Library: https://fedml.ai
Awesome-Fine-grained-Visual-Classification
Awesome Fine-grained Visual Classification
awesome-image-classification
A curated list of deep learning image classification papers and codes
Awesome-Knowledge-Distillation
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。
awesome-self-supervised-learning
A curated list of awesome self-supervised methods
awesome-semantic-segmentation-pytorch
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
awesome-tiny-object-detection
🕶 A curated list of Tiny Object Detection papers and related resources.
Awesome-Visual-Transformer
Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)
Common-CNNs-cifar100
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)
CV-Backbones
CV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.
Ensemble-Pytorch
A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.
External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
graphviz
Simple Python interface for Graphviz
MathematicalEngineeringDeepLearning
Material for The Mathematical Engineering of Deep Learning. See https://deeplearningmath.org
meta-dataset
A dataset of datasets for learning to learn from few examples
ml-contests-conf
ML and DL related contests, competitions and conference challenges.
mmclassification
OpenMMLab Image Classification Toolbox and Benchmark
nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Paper-Picture-Writing-Code
Paper Picture Writing Code
pix2seq
Pix2Seq - A general framework for turning RGB pixels into semantically meaningful sequences
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
PyTorch-Networks
Pytorch implementation of cnn network
pytorch-optimizer
torch-optimizer -- collection of optimizers for Pytorch
scikit-image
Image processing in Python
SegLoss
A collection of loss functions for medical image segmentation
transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
vision
Datasets, Transforms and Models specific to Computer Vision