452 Open source projects that are alternatives of or similar to Divide And Co Training

Label Studio is a multi-type data labeling and annotation tool with standardized output format

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

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

Parametric Contrastive Learning (ICCV2021)

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

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

OpenMMLab Image Classification Toolbox and Benchmark

A collection of SOTA Image Classification Models in PyTorch

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

No description or website provided.

Bottleneck Transformers for Visual Recognition

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

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

Implementation of EfficientNet model. Keras and TensorFlow Keras.

Train the HRNet model on ImageNet

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

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

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

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

Sandbox for training deep learning networks

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.

Powerful and efficient Computer Vision Annotation Tool (CVAT)

[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"

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

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

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

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

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

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"

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.

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

ECCV 2020 论文开源项目合集，同时欢迎各位大佬提交issue，分享ECCV 2020开源项目

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

Implementation of Quickdraw - an online game developed by Google

Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906

TensorFlow Implementation of state-of-the-art models since 2012

Code for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10779

PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet

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

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

Knowledge Distillation with Adversarial Samples Supporting Decision Boundary (AAAI 2019)

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

PyTorch extensions for fast R&D prototyping and Kaggle farming

Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"

Evaluation of the CNN design choices performance on ImageNet-2012.

Porting pytorch dcgan on FloydHub

PyTorch to Keras model convertor

Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"

Train ResNet on ImageNet in Tensorflow 2.0; ResNet 在ImageNet上完整训练代码

Retrained InceptionV3 image classification model

A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!)

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

Classification models trained on ImageNet. Keras.

Food Classification with Deep Learning in Keras / Tensorflow

This package is a complete tool for creating a large dataset of images (specially designed -but not only- for machine learning enthusiasts). It can crawl the web, download images, rename / resize / covert the images and merge folders..

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