183 Open source projects that are alternatives of or similar to Adversarial-Examples-in-PyTorch

Demo code for the paper ''Distributional Adversarial Networks''

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

Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification

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.

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

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)

EANN: event-adversarial neural networks for multi-modal fake news detection

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

Bottleneck Transformers for Visual Recognition

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

[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"

A new test set for ImageNet

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

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

custom implementation alexnet with tensorflow

A pytorch implementation of VoVNet

No description or website provided.

Classification with PyTorch.

EfficientNetV2 implementation using PyTorch

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

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

PSPNet in Chainer

Reference ImageNet implementation of SelecSLS CNN architecture proposed in the SIGGRAPH 2020 paper "XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera". The repository also includes code for pruning the model based on implicit sparsity emerging from adaptive gradient descent methods, as detailed in the CVPR 2019 paper "On implicit filter level sparsity in Convolutional Neural Networks".

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

[ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images

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

A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)

Official repository for Big-Little Net

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

[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 fusion project of deeply-fused nets, and the study on the connection to ensembling

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.

Parametric Contrastive Learning (ICCV2021)

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

Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]

Classification models trained on ImageNet. Keras.

Training Low-bits DNNs with Stochastic Quantization

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

Tools for generating mini-ImageNet dataset and processing batches

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

Tensorflow implementation of adversarial auto-encoder for MNIST

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

A plug-in replacement for DataLoader to load ImageNet disk-sequentially in PyTorch.

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

Compare neural networks by their feature similarity

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

PyTorch C++ inference with LibTorch

MobileNetV3 in pytorch and ImageNet pretrained models

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

MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks

Sandbox for training deep learning networks

OpenMMLab Image Classification Toolbox and Benchmark

ImageNet pre-trained SharpPeleeNet can be used in real-time Semantic Segmentation/Objects Detection

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

Unofficial TensorFlow implementation of "AlexNet" architecture.

A collection of SOTA Image Classification Models in PyTorch

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

Tool to evaluate deep-learning detection and segmentation models, and to create datasets

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

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