#Imagenet
Showing 53 of 53 repositories tagged #imagenet, ranked by stars
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
LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data.
Computer Vision Annotation Tool (CVAT) is a leading platform for building high-quality visual datasets for vision AI. It offers open-source, cloud, and enterprise products, as well as labeling services, for image, video, and 3D annotation with AI-assisted labeling, quality assurance, team collaboration, analytics, and developer APIs.
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
A PyTorch implementation of EfficientNet
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
Friendly machine learning for the web! π€
DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.
Sandbox for training deep learning networks
Implementation of EfficientNet model. Keras and TensorFlow Keras.
CVNets: A library for training computer vision networks
Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.
PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet
Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet
Corruption and Perturbation Robustness (ICLR 2019)
Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"
The official implementation of [CVPR2022] Decoupled Knowledge Distillation https://arxiv.org/abs/2203.08679 and [ICCV2023] DOT: A Distillation-Oriented Trainer https://openaccess.thecvf.com/content/ICCV2023/papers/Zhao_DOT_A_Distillation-Oriented_Trainer_ICCV_2023_paper.pdf
PyTorch to Keras model convertor
Unsupervised Feature Learning via Non-parametric Instance Discrimination
Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.
CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark
Unofficial PyTorch Reimplementation of RandAugment.
Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019
This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.
Implementation code of the paper: FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction, NeurIPS 2018
Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition
Tutorial for computer vision and machine learning in PHP 7/8 by opencv (installation + examples + documentation)
A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: VGG, ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.
Multi-Scale Dense Networks for Resource Efficient Image Classification οΌICLR 2018 OralοΌ
Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]
Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)
Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"
Comparison of famous convolutional neural network models
Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).
Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)
Keras implementation of Mobile Networks
Nearly Perfect & Easily Understandable PyTorch Implementation of SKNet
[NeurIPS 2021] Official implementation of the paper "One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective"
Mobilenet v1 trained on Imagenet for STM32 using extended CMSIS-NN with INT-Q quantization support
Etiketai is an online tool designed to label images, useful for training AI models
Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification
Official PyTorch(MMCV) implementation of βAdversarial AutoMixupβ (ICLR 2024 spotlight)
Official PyTorch implementation of the ICCV 2023 paper: From Chaos Comes Order: Ordering Event Representations for Object Recognition and Detection.
Adaptive Real-Time Object Detection System with HOG and CNN Features
[NeurIPS'23] DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions
Official repository for Big-Little Net
Web-based Tool for visualisation and generation of adversarial examples by attacking ImageNet Models like VGG, AlexNet, ResNet etc.
π© My pytorch neural network practice repo
[CVPR 2024 Highlight] ImageNet-D
[NeurIPS 2025] Beyond Masked and Unmasked: Discrete Diffusion Models via Partial Masking
Food calorie estimation integrated with ImageNet and google generative AI with flask API and Basic Frontend using Tailwind