928 Open source projects that are alternatives of or similar to image-classification

CV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.

An Implementation of Transformer in Transformer in TensorFlow for image classification, attention inside local patches

Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

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

a collection of visualization function

Implementation code of the paper: FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction, NeurIPS 2018

[Paper 2020] Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training. Plus, an image classification toolbox includes ResNet, Wide-ResNet, ResNeXt, ResNeSt, ResNeXSt, SENet, Shake-Shake, DenseNet, PyramidNet, and EfficientNet.

Deep learning, Convolutional neural networks, Image processing, Document processing, Table detection, Page object detection, Table classification. https://www.sciencedirect.com/science/article/pii/S0925231221018142

implement AlexNet with C / convolutional nerual network / machine learning / computer vision

[IEEE Access] "Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems" and [ACM MobiCom HotEdgeVideo 2019] "Distilled Split Deep Neural Networks for Edge-assisted Real-time Systems"

Pytorch implementation of "All Tokens Matter: Token Labeling for Training Better Vision Transformers"

Easily train or fine-tune SOTA computer vision models with one open source training library

RectLabel - An image annotation tool to label images for bounding box object detection and segmentation.

Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition

🍊 🎑 Orange3 add-on for dealing with image related tasks

OpenMMLab Image Classification Toolbox and Benchmark

Code for CVPR 2019 paper: " Learning Deep Compositional Grammatical Architectures for Visual Recognition"

Implementation of EfficientNet model. Keras and TensorFlow Keras.

PyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆18 methods including SOTA are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy.

Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow

resources for the IBM Airlines Table-Question-Answering Benchmark

[MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation

LiBai(李白): A Toolbox for Large-Scale Distributed Parallel Training

Implementation of Conv-based and Vit-based networks designed for CIFAR.

You Only Look at One Sequence (NeurIPS 2021)

The collection of pre-trained, state-of-the-art AI models for ailia SDK

Etiketai is an online tool designed to label images, useful for training AI models

Official Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models

Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"

Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet

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

Train the HRNet model on ImageNet

Powerful and efficient Computer Vision Annotation Tool (CVAT)

Trial on kaggle imagenet object localization by yolo v3 in google cloud

PiGallery: AI-powered Self-hosted Secure Multi-user Image Gallery and Detailed Image analysis using Machine Learning, EXIF Parsing and Geo Tagging

Pytorch implementation of network design paradigm described in the paper "Designing Network Design Spaces"

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

TransMorph: Transformer for Unsupervised Medical Image Registration (PyTorch)

Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search

Sandbox for training deep learning networks

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms

Hands on Imagenet training. Unofficial ModelZoo project on Pytorch. MobileNetV3 Top1 75.64🌟 GhostNet1.3x 75.78🌟

SwinIR: Image Restoration Using Swin Transformer (official repository)

Nested Hierarchical Transformer https://arxiv.org/pdf/2105.12723.pdf

Code for the AAAI 2022 publication "Well-classified Examples are Underestimated in Classification with Deep Neural Networks"

⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.

The Tensorflow, Keras implementation of Swin-Transformer and Swin-UNET

Official PyTorch Implementation of Long-Short Transformer (NeurIPS 2021).

(TPAMI2022) Salient Object Detection via Integrity Learning.

Bottleneck Transformers for Visual Recognition

No description or website provided.

SOTA Semantic Segmentation Models in PyTorch

Parametric Contrastive Learning (ICCV2021)

Brevitas: quantization-aware training in PyTorch

A treasure chest for image classification powered by PaddlePaddle

pix2tex: Using a ViT to convert images of equations into LaTeX code.

Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification

Official implement of Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer

Training Low-bits DNNs with Stochastic Quantization