image-classification

🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

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

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

Best Practices, code samples, and documentation for Computer Vision.

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

Experience, Learn and Code the latest breakthrough innovations with Microsoft AI

Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks

Differentiable architecture search for convolutional and recurrent networks

A treasure chest for visual recognition powered by PaddlePaddle

A library for transfer learning by reusing parts of TensorFlow models.

Accelerated deep learning R&D

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)

Sandbox for training deep learning networks

Resources for deep learning with satellite & aerial imagery

Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

Nudity detection with JavaScript and HTMLCanvas

A curated list of deep learning image classification papers and codes

Implementation of EfficientNet model. Keras and TensorFlow Keras.

ICCV2021/2019/2017 论文/代码/解读/直播合集，极市团队整理

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

Labelbox is the fastest way to annotate data to build and ship computer vision applications.

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation