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Search results for python cifar
cifar
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866 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.
Pytorch Cifar
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5,131
95.47% on CIFAR10 with PyTorch
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
Supcontrast
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2,728
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
Pylearn2
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2,712
Warning: This project does not have any current developer. See bellow.
Imgclsmob
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2,399
Sandbox for training deep learning networks
Alibi Detect
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2,010
Algorithms for outlier, adversarial and drift detection
Uda
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1,782
Unsupervised Data Augmentation (UDA)
Pixel Cnn
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1,650
Code for the paper "PixelCNN++: A PixelCNN Implementation with Discretized Logistic Mixture Likelihood and Other Modifications"
Tsne Cuda
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1,610
GPU Accelerated t-SNE for CUDA with Python bindings
Senet.pytorch
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1,494
PyTorch implementation of SENet
Enas
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1,433
TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"
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.
Pytorch Classification
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1,244
Classification with PyTorch.
Data Efficient Gans
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1,231
[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training
Unsupervised Classification
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1,217
SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
Keras Resnet
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1,194
Residual networks implementation using Keras-1.0 functional API
Torchdistill
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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.
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?"
Mixup Cifar10
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817
mixup: Beyond Empirical Risk Minimization
Knowledge Distillation Zoo
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804
Pytorch implementation of various Knowledge Distillation (KD) methods.
Swa
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785
Stochastic Weight Averaging in PyTorch
Acnet
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768
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks
Ganomaly
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767
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
Cifar 10 Cnn
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726
Play deep learning with CIFAR datasets
Random Erasing
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697
Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST
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"
Pytorch_resnet_cifar10
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614
Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.
Cutmix Pytorch
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611
Official Pytorch implementation of CutMix regularizer
Senet Tensorflow
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611
Simple Tensorflow implementation of "Squeeze and Excitation Networks" using Cifar10 (ResNeXt, Inception-v4, Inception-resnet-v2)
Mixmatch Pytorch
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594
Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"
Augmix
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588
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
Cifar Zoo
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575
PyTorch implementation of CNNs for CIFAR benchmark
Densenet Tensorflow
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575
DenseNet Implementation in Tensorflow
Dataloaders_dali
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569
PyTorch DataLoaders implemented with DALI for accelerating image preprocessing
Pytorch Randaugment
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557
Unofficial PyTorch Reimplementation of RandAugment.
Mimicry
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556
[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.
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)
Neural Network Genetic Algorithm
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516
Evolving a neural network with a genetic algorithm.
Network Slimming
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499
Network Slimming (Pytorch) (ICCV 2017)
Featurelearningrotnet
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496
Filter Pruning Geometric Median
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489
Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration (CVPR 2019 Oral)
Densenet Tensorflow
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471
Simple Tensorflow implementation of Densenet using Cifar10, MNIST
Invertible Resnet
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448
Official Code for Invertible Residual Networks
Iaf
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442
Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"
Residualattentionnetwork Pytorch
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423
a pytorch code about Residual Attention Network. This code is based on two projects from
Pba
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400
Efficient Learning of Augmentation Policy Schedules
Cifar10 Tensorflow
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395
cifar10数据集上进行图片分类,基于tensorflow框架,旨在探究不同的改进策略对分类准确率
Imbalanced Semi Self
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393
[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning
Vdvae
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389
Repository for the paper "Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images"
Resnext.pytorch
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388
Reproduces ResNet-V3 with pytorch
Datasetcondensation
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382
Dataset Condensation (ICLR21 and ICML21)
Ml Examples
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381
Arm Machine Learning tutorials and examples
Attention Augmented Conv2d
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363
Implementing Attention Augmented Convolutional Networks using Pytorch
Odin
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357
A simple and effective method for detecting out-of-distribution images in neural networks.
Capslayer
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354
CapsLayer: An advanced library for capsule theory
Class Balanced Loss
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349
Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019
Cifar10_challenge
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342
A challenge to explore adversarial robustness of neural networks on CIFAR10.
Sparse_learning
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334
Sparse learning library and sparse momentum resources.
Xnor Net Pytorch
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331
PyTorch Implementation of XNOR-Net
Cliquenet
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321
Convolutional Neural Networks with Alternately Updated Clique (to appear in CVPR 2018)
Glow Pytorch
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317
Simple, extendable, easy to understand Glow implementation in PyTorch
Model_compression
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315
Implementation of model compression with knowledge distilling method.
Mixup
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306
Implementation of the mixup training method
Ebm_code_release
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303
Code for Implicit Generation and Generalization with Energy Based Models
Cutout
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302
2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552
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, ...)
Yellowfin_pytorch
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293
auto-tuning momentum SGD optimizer
Vision Transformers Cifar10
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292
Let's train vision transformers (ViT) for cifar 10!
Snapshot Ensembles
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277
Snapshot Ensemble in Keras
Pdarts
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277
Codes for our paper "Progressive Differentiable Architecture Search:Bridging the Depth Gap between Search and Evaluation"
Pt.darts
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274
PyTorch Implementation of DARTS: Differentiable Architecture Search
Pytorch_diffusion
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271
PyTorch reimplementation of Diffusion Models
Densenetcaffe
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269
Caffe code for Densely Connected Convolutional Networks (DenseNets)
Imagenet Fast
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268
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
Nao
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261
Neural Architecture Optimization
Wide Resnet.pytorch
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258
Best CIFAR-10, CIFAR-100 results with wide-residual networks using PyTorch
Task_adaptation
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253
Pytorch Cifar Models
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245
3.41% and 17.11% error on CIFAR-10 and CIFAR-100
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
Attention_branch_network
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236
Attention Branch Network (CIFAR100, ImageNet models)
Dawn Bench Entries
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235
DAWNBench: An End-to-End Deep Learning Benchmark and Competition
Aw_nas
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230
aw_nas: A Modularized and Extensible NAS Framework
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
Bag Of Tricks For At
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226
Empirical tricks for training robust models (ICLR 2021)
Mentornet
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226
Code for MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks
Sact
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224
Spatially Adaptive Computation Time for Residual Networks
Pyramidnet Pytorch
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215
A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)
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