Awesome Open Source

Programming Languages

Search results for cifar

1,160 search results found

Fastswa Semi Sup ⭐ 126

Improving Consistency-Based Semi-Supervised Learning with Weight Averaging

Cifar10 Img Classification Tensorflow ⭐ 125

image classification with CIFAR10 dataset w/ Tensorflow

Resnet On Cifar10 ⭐ 124

Reimplementation ResNet on cifar10 with caffe

Cucumber 9 ⭐ 124

The CUCUMBER-9 dataset

The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].

Imagetextrecognition ⭐ 123

Darknet2ncnn ⭐ 123

Darknet2ncnn converts the darknet model to the ncnn model

Local Loss ⭐ 123

PyTorch code for training neural networks without global back-propagation

Lookahead_pytorch ⭐ 122

pytorch implement of Lookahead Optimizer

Code for reproducing ICT (published in Neural Networks 2022, and in IJCAI 2019)

Synaptic Flow ⭐ 122

Pyramidnet ⭐ 121

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

Pruning_filters_for_efficient_convnets ⭐ 121

PyTorch implementation of "Pruning Filters For Efficient ConvNets"

Tensorflow.cifar10 ⭐ 119

The examples of image recognition with the dataset CIFAR10 via tensorflow.

Tensorflowframework ⭐ 119

An extendable framework for training neural network models using TensorFlow.

Fitting Random Labels ⭐ 118

Example code for the paper "Understanding deep learning requires rethinking generalization"

Deep_mahalanobis_detector ⭐ 118

Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".

Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"

Keras_transfer_cifar10 ⭐ 116

Object classification with CIFAR-10 using transfer learning

Apot_quantization ⭐ 115

PyTorch implementation for the APoT quantization (ICLR 2020)

Metaqnn ⭐ 115

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

Nsga Net ⭐ 114

NSGA-Net, a Neural Architecture Search Algorithm

Implementation for <Decoupled Networks> in CVPR'18.

Pytorch Capsulenet ⭐ 113

An easy-to-follow Pytorch implementation of Hinton's Capsule Network

Evaluatingdpml ⭐ 112

This project's goal is to evaluate the privacy leakage of differentially private machine learning models.

Labelnoisecorrection ⭐ 111

Official Implementation of ICML 2019 Unsupervised label noise modeling and loss correction

Capsule Gan ⭐ 111

Code for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".

Interleavedgroupconvolutions ⭐ 109

Mixmatch Pytorch ⭐ 106

Pytorch Implementation of the paper MixMatch: A Holistic Approach to Semi-Supervised Learning (https://arxiv.org/pdf/1905.02249.pdf)

Deepcaps ⭐ 106

Official Implementation of "DeepCaps: Going Deeper with Capsule Networks" paper (CVPR 2019).

Dst Cbc ⭐ 106

Implementation of our Pattern Recognition paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"

Self Supervised ⭐ 106

Whitening for Self-Supervised Representation Learning | Official repository

Pixelsnail Public ⭐ 105

Mixup_pytorch ⭐ 104

A PyTorch implementation of the paper Mixup: Beyond Empirical Risk Minimization in PyTorch

Regularized_autoencoders Rae ⭐ 104

Self Adaptive Training ⭐ 104

Official implementation of the NeurIPS'2020 paper 'Self-Adaptive Training: beyond Empirical Risk Minimization'

Bagoftricks Lt ⭐ 103

A scientific and useful toolbox, which contains practical and effective long-tail related tricks with extensive experimental results

Ternarynet ⭐ 103

Implementation for Trained Ternary Network.

CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization

Deep Supervised Hashing Dsh ⭐ 102

Rocket Launching ⭐ 101

A universal and efficient framework for training well-performing light net

Puzzlemix ⭐ 101

Official PyTorch implementation of "Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup" (ICML'20)

MoEx (Moment Exchange)

Learntopayattention ⭐ 99

PyTorch implementation of ICLR 2018 paper Learn To Pay Attention (and some modification)

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

Cifar2png ⭐ 96

Convert CIFAR-10 and CIFAR-100 datasets into PNG images

Highway Networks ⭐ 96

An implementation of Highway Networks in Caffe

Free_adv_train ⭐ 95

Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural training.

Hypernetworks ⭐ 95

PyTorch implementation of HyperNetworks (Ha et al., ICLR 2017) for ResNet (Residual Networks)

Detail-Preserving Pooling in Deep Networks (CVPR 2018)

Residualattentionnetwork ⭐ 92

A Gluon implement of Residual Attention Network. Best acc on cifar10-97.78%.

Official implementation of FQ-GAN

Shiftresnet Cifar ⭐ 92

ResNet with Shift, Depthwise, or Convolutional Operations for CIFAR-100, CIFAR-10 on PyTorch

GPU-specialized parameter server for GPU machine learning.

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)

Pytorch_shake_shake ⭐ 89

A PyTorch implementation of shake-shake

Deep_learning_explorations ⭐ 89

Codes and experiments while learning and exploring deep learning by personal curiosity and online courses

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.

Repository for the One class neural networks paper

Hyperopt Keras Cnn Cifar 100 ⭐ 87

Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.

Simplified code for our paper "GDumb: A Simple Approach that Questions Our Progress in Continual Learning". Easily extensible to various settings, datasets and architectures.

Energy_based_generative_models ⭐ 87

PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models

Spectralnormalizationkeras ⭐ 86

Spectral Normalization for Keras Dense and Convolution Layers

Noisy_labels ⭐ 85

TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER

Imagenet32_scripts ⭐ 84

Scripts for Imagenet 32 dataset

Keras Sequential Ascii ⭐ 84

ASCII summary for simple sequential models in Keras

Interval Bound Propagation ⭐ 83

This repository contains a simple implementation of Interval Bound Propagation (IBP) using TensorFlow: https://arxiv.org/abs/1810.12715

Peleenet ⭐ 83

A tensorflow implement for PeleeNet:A Real-Time Object Detection System on Mobile Devices

Code for: "Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes" and "TaskNorm: Rethinking Batch Normalization for Meta-Learning"

Pytorch Auto Augment ⭐ 82

PyTorch implementation of AutoAugment.

Tensorflow Cifar 10 ⭐ 82

Cifar-10 CNN implementation using TensorFlow library with 20% error.

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

Resnet Tf ⭐ 80

ResNet Implementation in TensorFlow

Simplepruning ⭐ 80

cnn pruning with tensorflow.

Binaryconnect ⭐ 79

Source code for ``Neural Networks with Few Multiplications'' published at ICLR 2016

Curveball ⭐ 79

Second-order optimiser for deep networks

Pre Training ⭐ 79

Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)

Adamw Pytorch ⭐ 78

Implementation and experiments for AdamW on Pytorch

Learning Data Manipulation ⭐ 78

Implementation for <Learning towards Minimum Hyperspherical Energy> in NIPS'18.

Iccv2019 Inc ⭐ 76

ICCV 2019 Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild

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

Ml Capsules Inverted Attention Routing ⭐ 74

Residual_block_keras ⭐ 74

Residual network block in Keras

EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning

Lid_adversarial_subspace_detection ⭐ 72

Code for paper "Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality".

Pytorch Res2net ⭐ 72

PyTorch implementation of Res2Net

Pytorch implementation of our paper accepted by NeurIPS 2020 -- Rotated Binary Neural Network

Badnets Pytorch ⭐ 70

Simple PyTorch implementations of Badnets on MNIST and CIFAR10.

Code for the "Discriminative Regularization for Generative Models" paper.

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.

Noisy_label ⭐ 69

Code for the CVPR15 paper "Learning from Massive Noisy Labeled Data for Image Classification"

Randwirenn ⭐ 69

Implementing Randomly Wired Neural Networks for Image Recognition, Using CIFAR-10 dataset, CIFAR-100 dataset

Max Mahalanobis Training ⭐ 69

Max Mahalanobis Training (ICML 2018 + ICLR 2020)

Noisy_label_understanding_utilizing ⭐ 69

ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels

Denoised Smoothing ⭐ 69

Provably defending pretrained classifiers including the Azure, Google, AWS, and Clarifai APIs

T Revision ⭐ 69

NeurIPS'2019: Are Anchor Points Really Indispensable in Label-Noise Learning?

Related Searches

Python Cifar (1,478)

Pytorch Cifar (462)

Jupyter Notebook Cifar (409)

Dataset Cifar (369)

Resnet Cifar (354)

Mnist Cifar (321)

Cifar Cifar10 (315)

Cifar Imagenet (308)

Tensorflow Cifar (305)

Convolutional Neural Networks Cifar (273)

201-300 of 1,160 search results

Privacy | About | Terms | Follow Us On Twitter

Copyright 2018-2024 Awesome Open Source. All rights reserved.