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

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.

Friendly machine learning for the web! 🤖

PSPNet in Chainer

Corruption and Perturbation Robustness (ICLR 2019)

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

Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019

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

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

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)

72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models

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

DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet

Sandbox for training deep learning networks

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

Official repository for Big-Little Net

Tutorial for computer vision and machine learning in PHP 7/8 by opencv (installation + examples + documentation)

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

A Harder ImageNet Test Set (CVPR 2021)

[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.

Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)

A lightweight convolutional neural network

Segmentation models with pretrained backbones. PyTorch.

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.

35% faster than ResNet: Harmonic DenseNet, A low memory traffic network

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

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

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

This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.

PyTorch C++ inference with LibTorch

PyTorch to Keras model convertor

Classification models trained on ImageNet. Keras.

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

A new test set for ImageNet

Open Set Recognition

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

TensorFlow ImageNet - Training and SOTA checkpoints

⚡ Useful scripts when using TensorRT

🔬 Some personal research code on analyzing CNNs. Started with a thorough exploration of Stanford's Tiny-Imagenet-200 dataset.

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

PyTorch implementation of Lambda Network and pretrained Lambda-ResNet

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

Pytorch code to generate adversarial examples on mnist and ImageNet data.

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

SimpleAICV:pytorch training example on ImageNet(ILSVRC2012)/COCO2017/VOC2007+2012 datasets.Include ResNet/DarkNet/RetinaNet/FCOS/CenterNet/TTFNet/YOLOv3/YOLOv4/YOLOv5/YOLOX.

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

TF-NAS: Rethinking Three Search Freedoms of Latency-Constrained Differentiable Neural Architecture Search (ECCV2020)

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

Compare neural networks by their feature similarity

A pytorch implementation of VoVNet

Code and models for the paper Shape-Texture Debiased Neural Network Training (ICLR 2021)

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

Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.

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

Train the HRNet model on ImageNet

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

Powerful and efficient Computer Vision Annotation Tool (CVAT)