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》)

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

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

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

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

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

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

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

Differentiable architecture search for convolutional and recurrent networks

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

Accelerated deep learning R&D

Deep Learning API and Server in C++14 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

Sandbox for training deep learning networks

Nudity detection with JavaScript and HTMLCanvas

A treasure chest for visual recognition powered by PaddlePaddle

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)

A curated list of deep learning image classification papers and codes

Implementation of EfficientNet model. Keras and TensorFlow Keras.

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

Official Implementation of 'Fast AutoAugment' in PyTorch.

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

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

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