152 Open source projects that are alternatives of or similar to Sequential Imagenet Dataloader

Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.

Porting pytorch dcgan on FloydHub

Unofficial implementation with pytorch DistributedDataParallel for "MoCo: Momentum Contrast for Unsupervised Visual Representation Learning"

Adaptive Real-Time Object Detection System with HOG and CNN Features

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

Torch implementation of the paper "Deep Pyramidal Residual Networks" (https://arxiv.org/abs/1610.02915).

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

Implementation of EfficientNet model. Keras and TensorFlow Keras.

Generate mini-ImageNet with ImageNet for fewshot learning

TensorFlow implementation of PNASNet-5 on ImageNet

Caffe Implementation of Google's MobileNets (v1 and v2)

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

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

tensorflow implementation for "High-Resolution Representations for Labeling Pixels and Regions"

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

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

This project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for accurate binary neural networks.

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

A Caffe Re-Implementation of SENet

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

train resnet on imagenet from scratch with caffe

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

Keras implementation of Mobile Networks

PyTorch to Keras model convertor

[ICCV 2019] Harmonious Bottleneck on Two Orthogonal Dimensions

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

Train the HRNet model on ImageNet

Training examples and results for ImageNet(ILSVRC2012)/CIFAR100/COCO2017/VOC2007+VOC2012 datasets.Image Classification/Object Detection.Include ResNet/EfficientNet/VovNet/DarkNet/RegNet/RetinaNet/FCOS/CenterNet/YOLOv3.

PSPNet in Chainer

Code for the paper Benchmark Analysis of Representative Deep Neural Network Architectures

Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models

This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)

Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet

Sandbox for training deep learning networks

Official repository for Big-Little Net

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

[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.

A lightweight convolutional neural network

A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.

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

(ECCV 2020) Tensorflow implementation of A Generic Visualization Approach for Convolutional Neural Networks

PyTorch C++ inference with LibTorch

Classification models trained on ImageNet. Keras.

A new test set for ImageNet

👁 Bulk-download all thumbnails from an ImageNet synset, with optional rescaling

⚡ Useful scripts when using TensorRT

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

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

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

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

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

A pytorch implementation of VoVNet

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

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

Classification with PyTorch.

Code for ICLR 2020 paper 'AtomNAS: Fine-Grained End-to-End Neural Architecture Search'

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.

TensorFlow implementation of AlexNet and its training and testing on ImageNet ILSVRC 2012 dataset

Collection of computer vision models, ready to be included in a JVM project

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