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Search results for deep learning cifar
cifar
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deep-learning
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164 search results found
Tensor2tensor
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13,701
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Densenet
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4,652
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
Deep Learning 21 Examples
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3,883
《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码
Darts
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2,775
Differentiable architecture search for convolutional and recurrent networks
Imgclsmob
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2,399
Sandbox for training deep learning networks
Big_transfer
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1,421
Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.
Fast Autoaugment
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1,358
Official Implementation of 'Fast AutoAugment' in PyTorch.
Uncertainty Baselines
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1,324
High-quality implementations of standard and SOTA methods on a variety of tasks.
Keras Resnet
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1,194
Residual networks implementation using Keras-1.0 functional API
Attention Transfer
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1,120
Improving Convolutional Networks via Attention Transfer (ICLR 2017)
Federated Learning
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1,042
A PyTorch Implementation of Federated Learning http://doi.org/10.5281/zenodo.4321561
Federated Learning Pytorch
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902
Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data
Addernet
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857
Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"
Cifar 10 Cnn
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726
Play deep learning with CIFAR datasets
Densenet
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658
DenseNet implementation in Keras
Mdistiller
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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
Densenet.pytorch
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632
A PyTorch implementation of DenseNet.
Fixmatch Pytorch
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623
Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"
Mixmatch Pytorch
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594
Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"
Pytorch Randaugment
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557
Unofficial PyTorch Reimplementation of RandAugment.
Deep Svdd Pytorch
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538
A PyTorch implementation of the Deep SVDD anomaly detection method
Pytorch_cifar10
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520
Pretrained TorchVision models on CIFAR10 dataset (with weights)
Caffe Cvprw15
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512
❤️☕ Deep Learning of Binary Hash Codes for Fast Image Retrieval (CVPRW15)
Network Slimming
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499
Network Slimming (Pytorch) (ICCV 2017)
Msdnet
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420
Multi-Scale Dense Networks for Resource Efficient Image Classification (ICLR 2018 Oral)
Pba
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400
Efficient Learning of Augmentation Policy Schedules
Vdvae
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389
Repository for the paper "Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images"
Ml Examples
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381
Arm Machine Learning tutorials and examples
Class Balanced Loss
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349
Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019
Cliquenet
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321
Convolutional Neural Networks with Alternately Updated Clique (to appear in CVPR 2018)
Img_classification_pk_pytorch
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299
Quickly comparing your image classification models with the state-of-the-art models (such as DenseNet, ResNet, ...)
Largemargin_softmax_loss
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297
Implementation for <Large-Margin Softmax Loss for Convolutional Neural Networks> in ICML'16.
Snapshot Ensembles
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277
Snapshot Ensemble in Keras
Mydeeplearning
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268
A deep learning library to provide algs in pure Numpy or Tensorflow.
Machine Learning
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264
my machine-learning tutorial
Memcnn
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238
PyTorch Framework for Developing Memory Efficient Deep Invertible Networks
Vq Vae
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238
Minimalist implementation of VQ-VAE in Pytorch
Dawn Bench Entries
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235
DAWNBench: An End-to-End Deep Learning Benchmark and Competition
Cnn From Scratch
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229
A scratch implementation of Convolutional Neural Network in Python using only numpy and validated over CIFAR-10 & MNIST Dataset
Mentornet
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226
Code for MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks
Caffe Deepbinarycode
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207
Supervised Semantics-preserving Deep Hashing (TPAMI18)
Semantic Embeddings
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206
Hierarchy-based Image Embeddings for Semantic Image Retrieval
Non Local Nn Pytorch
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193
PyTorch implementation of Non-Local Neural Networks (https://arxiv.org/pdf/1711.07971.pdf)
Novelty Detection
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183
Latent space autoregression for novelty detection.
Deterministic Uncertainty Quantification
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175
Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"
Pytorch Distributed Training
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174
Simple tutorials on Pytorch DDP training
Learning To Reweight Examples
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153
Code for paper "Learning to Reweight Examples for Robust Deep Learning"
Densenet Sdr
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151
repo that holds code for improving on dropout using Stochastic Delta Rule
Msdnet Pytorch
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151
MSDNet
Gan Vae Pretrained Pytorch
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148
Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.
Simclr Pytorch
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140
PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results
Swift4tf
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130
A set of notebooks explaining swift for tensorflow optimized to run in Google Collaboratory.
Sparsenet
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127
[ECCV 2018] Sparsely Aggreagated Convolutional Networks https://arxiv.org/abs/1801.05895
Cifar10 Img Classification Tensorflow
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125
image classification with CIFAR10 dataset w/ Tensorflow
Ict
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122
Code for reproducing ICT (published in Neural Networks 2022, and in IJCAI 2019)
Pyramidnet
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121
Torch implementation of the paper "Deep Pyramidal Residual Networks" (https://arxiv.org/abs/1610.02915).
Tensorflowframework
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119
An extendable framework for training neural network models using TensorFlow.
Nsga Net
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114
NSGA-Net, a Neural Architecture Search Algorithm
Mixmatch Pytorch
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106
Pytorch Implementation of the paper MixMatch: A Holistic Approach to Semi-Supervised Learning (https://arxiv.org/pdf/1905.02249.pdf)
Residualattentionnetwork
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92
A Gluon implement of Residual Attention Network. Best acc on cifar10-97.78%.
Deep_learning_explorations
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89
Codes and experiments while learning and exploring deep learning by personal curiosity and online courses
Simple Cnaps
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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)
Spectralnormalizationkeras
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86
Spectral Normalization for Keras Dense and Convolution Layers
Keras Sequential Ascii
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84
ASCII summary for simple sequential models in Keras
Residual_block_keras
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74
Residual network block in Keras
Pytorch Res2net
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72
PyTorch implementation of Res2Net
Denoised Smoothing
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69
Provably defending pretrained classifiers including the Azure, Google, AWS, and Clarifai APIs
Noisy_label_understanding_utilizing
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69
ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels
Label Embedding Network
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68
Label Embedding Network
Bsconv
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66
Reference implementation for Blueprint Separable Convolutions (CVPR 2020)
Pytorch_squeezenet
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62
Implementation of Squeezenet in pytorch, pretrained models on Cifar 10 data to come
Entropy Sgd
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61
Lua implementation of Entropy-SGD
Srmnet
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60
PyTorch implementation of "SRM : A Style-based Recalibration Module for Convolutional Neural Networks"
Gpq
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59
Generalized Product Quantization Network For Semi-supervised Image Retrieval - CVPR 2020
Bayesbyhypernet
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55
Code for the paper Implicit Weight Uncertainty in Neural Networks
Omni Gan Pytorch
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54
ICCV2021 (poster)
Dfw
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53
Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch
Catalyst Examples
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53
Examples
Pytorch Stn
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52
Spatial Transformer Networks in Pytorch.
Okddip Aaai2020
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50
This is a PyTorch-1.0 implementation for the AAAI-2020 paper (Online Knowledge Distillation with Diverse Peers).
Deep Learning And Practices
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48
Version control for my deep learning course.
Denser Models
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47
Efficientnas
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46
Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906
Deep Residual Networks Pyfunt
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45
Python implementation of "Deep Residual Learning for Image Recognition" (http://arxiv.org/abs/1512.03385 - MSRA, winner team of the 2015 ILSVRC and COCO challenges).
Mixco Mixup Contrast
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45
MixCo: Mix-up Contrastive Learning for Visual Representation, NeurIPS 2020 Workshop on SSL
Over Parametrization
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43
Computing various norms/measures on over-parametrized neural networks
Semckd
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43
This is the official implementation for the AAAI-2021 paper (Cross-Layer Distillation with Semantic Calibration).
Ruby Dnn
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40
ruby-dnn is a ruby deep learning library.
Avuc
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40
Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.
Cppn Wgan
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39
Generative Art Experiments
Parle
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38
Strassennets
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37
Deep learning with a multiplication budget
Variance Networks
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37
Variance Networks: When Expectation Does Not Meet Your Expectations, ICLR 2019
Multi Task Image Classification
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36
Multi-task learning for image classification implemented in PyTorch.
All Cnn
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36
Striving for Simplicity: The All Convolutional Net (All-CNN-C)
Ziff Deep Learning
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35
Project repo for Ziff Deep Learning Internship 2017 - Deep learning model performance improvement strategies
Information Dropout
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34
Implementation of Information Dropout
Cac Openset
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34
Code for Class Anchor Clustering loss for training a distance-based open set classifier
Image Search Engine
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34
End-to-end image search engine based on the Deep learning techniques.
Deepfashion
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34
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Network Deep Learning (3,532)
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