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Search results for imagenet cifar

226 search results found

Tensor2tensor ⭐ 13,701

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

Vision_transformer ⭐ 8,669

Deep Residual Networks ⭐ 5,695

Deep Residual Learning for Image Recognition

Darts ⭐ 2,775

Differentiable architecture search for convolutional and recurrent networks

Imgclsmob ⭐ 2,399

Sandbox for training deep learning networks

Resnext ⭐ 1,652

Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks

Senet.pytorch ⭐ 1,494

PyTorch implementation of SENet

Big_transfer ⭐ 1,421

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

Autoaugment ⭐ 1,382

Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow

Fast Autoaugment ⭐ 1,358

Official Implementation of 'Fast AutoAugment' in PyTorch.

Pytorch Classification ⭐ 1,244

Classification with PyTorch.

Data Efficient Gans ⭐ 1,231

[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training

Unsupervised Classification ⭐ 1,217

SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]

Torchdistill ⭐ 1,171

A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆22 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.

Attention Transfer ⭐ 1,120

Improving Convolutional Networks via Attention Transfer (ICLR 2017)

Wide Residual Networks ⭐ 1,064

3.8% and 18.3% on CIFAR-10 and CIFAR-100

Vit Pytorch ⭐ 984

Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)

Addernet ⭐ 857

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

ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks

Mdistiller ⭐ 634

The official implementation of [CVPR2022] Decoupled Knowledge Distillation https://arxiv.org/abs/2203.08679 and [ICCV2023] DOT: A Distillation-Oriented Trainer https://openaccess.thecvf.com/content/ICCV2023/pap

Cutmix Pytorch ⭐ 611

Official Pytorch implementation of CutMix regularizer

Sparknet ⭐ 601

Distributed Neural Networks for Spark

AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

Pytorch Randaugment ⭐ 557

Unofficial PyTorch Reimplementation of RandAugment.

Featurelearningrotnet ⭐ 496

Long Tailed Recognition.pytorch ⭐ 492

[NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation (LVIS). It is also a PyTorch implementation of the NeurIPS 2020 paper 'Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect'.

Filter Pruning Geometric Median ⭐ 489

Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration (CVPR 2019 Oral)

Multi-Scale Dense Networks for Resource Efficient Image Classification （ICLR 2018 Oral）

Repository for the paper "Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images"

Resnext.pytorch ⭐ 388

Reproduces ResNet-V3 with pytorch

A simple and effective method for detecting out-of-distribution images in neural networks.

Class Balanced Loss ⭐ 349

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

Sparse_learning ⭐ 334

Sparse learning library and sparse momentum resources.

Xnor Net Pytorch ⭐ 331

PyTorch Implementation of XNOR-Net

Cliquenet ⭐ 321

Convolutional Neural Networks with Alternately Updated Clique (to appear in CVPR 2018)

Ebm_code_release ⭐ 303

Code for Implicit Generation and Generalization with Energy Based Models

Codes for our paper "Progressive Differentiable Architecture Search:Bridging the Depth Gap between Search and Evaluation"

Densenetcaffe ⭐ 269

Caffe code for Densely Connected Convolutional Networks (DenseNets)

Imagenet Fast ⭐ 268

Attention_branch_network ⭐ 236

Attention Branch Network (CIFAR100, ImageNet models)

Dawn Bench Entries ⭐ 235

DAWNBench: An End-to-End Deep Learning Benchmark and Competition

Fusenet ⭐ 233

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

Spatially Adaptive Computation Time for Residual Networks

Pyramidnet Pytorch ⭐ 215

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

Single Path One Shot Nas ⭐ 200

SPOS(Single Path One-Shot Neural Architecture Search with Uniform Sampling) rebuilt in Pytorch with single GPU.

Mobilenetv3 Pytorch ⭐ 197

Implementing Searching for MobileNetV3 paper using Pytorch

Acgan Pytorch ⭐ 193

Code and Pretrained model for IGCV3

Contrastive Clustering ⭐ 181

Code for the paper "Contrastive Clustering" (AAAI 2021)

Odin Pytorch ⭐ 178

Principled Detection of Out-of-Distribution Examples in Neural Networks

Deconvolution ⭐ 176

Cinic 10 ⭐ 172

A drop-in replacement for CIFAR-10.

Stand Alone Self Attention ⭐ 171

Implementing Stand-Alone Self-Attention in Vision Models using Pytorch

Skipnet ⭐ 166

Code for SkipNet: Learning Dynamic Routing in Convolutional Networks (ECCV 2018)

Msdnet Pytorch ⭐ 151

Smoothing Adversarial ⭐ 148

Code for our NeurIPS 2019 spotlight "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"

Simclr Pytorch ⭐ 140

PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results

Blockdrop ⭐ 136

BlockDrop: Dynamic Inference Paths in Residual Networks

Ranet Pytorch ⭐ 129

Resolution adaptive network

Sparsenet ⭐ 127

[ECCV 2018] Sparsely Aggreagated Convolutional Networks https://arxiv.org/abs/1801.05895

Synaptic Flow ⭐ 122

Pyramidnet ⭐ 121

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

CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NeurIPS 2020)

Implementation for <Decoupled Networks> in CVPR'18.

Self Supervised ⭐ 106

Whitening for Self-Supervised Representation Learning | Official repository

Pixelsnail Public ⭐ 105

Ternarynet ⭐ 103

Implementation for Trained Ternary Network.

MoEx (Moment Exchange)

Learning to Discover Novel Visual Categories via Deep Transfer Clustering (ICCV 2019)

Official implementation of FQ-GAN

Abcpruner ⭐ 90

Pytorch implementation of our IJCAI 2020 -- Channel Pruning via Automatic Structure Search

Simple Cnaps ⭐ 89

Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022), and "Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning" (Neural Networks 2022 - in submission)

Divide And Co Training ⭐ 88

[TIP 2022] 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.

Imagenet32_scripts ⭐ 84

Scripts for Imagenet 32 dataset

This repository contains code for the paper "Disentangling Label Distribution for Long-tailed Visual Recognition", published at CVPR' 2021

Curveball ⭐ 79

Second-order optimiser for deep networks

Unadversarial ⭐ 75

Official repository for our "Unadversarial Examples: Designing Objects for Robust Vision" paper

[NeurIPS'20] GradAug: A New Regularization Method for Deep Neural Networks

Pytorch Res2net ⭐ 72

PyTorch implementation of Res2Net

G Simclr ⭐ 69

This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip Chakraborty, Aritra Roy Gosthipaty and Sayak Paul.

Patchmix ⭐ 68

The official implementation of paper: "Inter-Instance Similarity Modeling for Contrastive Learning"

Stochastic Quantization ⭐ 67

Training Low-bits DNNs with Stochastic Quantization

Darts Pytorch ⭐ 66

PyTorch 1.0 supported for CNN exp.

Deep Hash Table Icml18 ⭐ 65

"Efficient end-to-end learning for quantizable representations" accepted at ICML2018

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

Factorized Bilinear Network ⭐ 62

FBN: Factorized Bilinear Models for Image Recognition (ICCV 2017)

Wgan Gp Tensorflow ⭐ 62

WGAN-GP tensorflow implementation

Image_classification_sota ⭐ 58

Training ImageNet / CIFAR models with sota strategies and fancy techniques such as ViT, KD, Rep, etc.

Omni Gan Pytorch ⭐ 54

ICCV2021 (poster)

Tensorflow Input Pipelines ⭐ 53

TensorFlow input pipelines for multiple datasets for easy data fetching

Metric Transfer.pytorch ⭐ 50

Deep Metric Transfer for Label Propagation with Limited Annotated Data

Hyperparam1 ⭐ 48

Code for the signSGD paper

Official implementation of "UNAS: Differentiable Architecture Search Meets Reinforcement Learning", CVPR 2020 Oral

Cvpr19_incremental_learning ⭐ 46

Learning a Unified Classifier Incrementally via Rebalancing

Implementation for NAT.

Mixco Mixup Contrast ⭐ 45

MixCo: Mix-up Contrastive Learning for Visual Representation, NeurIPS 2020 Workshop on SSL

Simplenet_pytorch ⭐ 44

SimpleNetV1 Implementation in Pytorch

Filtersketch ⭐ 43

Pytorch implementation of our paper under review -- Filter Sketch for Network Pruning

The official implementation of "Asymmetric Patch Sampling for Contrastive Learning"

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