Popular GitHub Repositories for Imagenet Classifier

100 Days of ML Coding

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

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

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

Collection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

Friendly machine learning for the web! ?

An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.

Largest multi-label image database; ResNet-101 model; 80.73% top-1 acc on ImageNet

Sandbox for training deep learning networks

A collection of research papers on decision, classification and regression trees with implementations.

Implementation of EfficientNet model. Keras and TensorFlow Keras.

CVNets: A library for training computer vision networks

Master Federated Learning in 2 Hours—Run It on Your PC!

Text Classification Algorithms: A Survey

A free, open source, and privacy-focused browser extension to block “not safe for work” content built using TypeScript and TensorFlow.js.