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Search results for jupyter notebook cifar
cifar
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jupyter-notebook
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162 search results found
Vision_transformer
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8,669
Autoaugment
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1,382
Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow
Attention Transfer
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1,120
Improving Convolutional Networks via Attention Transfer (ICLR 2017)
Vit Pytorch
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984
Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)
Obfuscated Gradients
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846
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
Gans
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776
Generative Adversarial Networks implemented in PyTorch and Tensorflow
Robustness
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740
A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.
Torch Residual Networks
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541
This is a Torch implementation of ["Deep Residual Learning for Image Recognition",Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun](http://arxiv.org/abs/1512.03385) the winners of the 2015 ILSVRC and COCO challenges.
Standalone Deeplearning
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535
2019 KAIST 딥러닝 홀로서기 세미나용 저장소입니다.
Long Tailed Recognition.pytorch
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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'.
Pba
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400
Efficient Learning of Augmentation Policy Schedules
Cifar10 Fast
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381
Machine Learning
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264
my machine-learning tutorial
Keras Examples
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235
Fusenet
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233
Deep fusion project of deeply-fused nets, and the study on the connection to ensembling
Pytorch Vgg Cifar10
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191
This is the PyTorch implementation of VGG network trained on CIFAR10 dataset
Generative_adversarial_networks_101
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190
Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.
Cinic 10
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172
A drop-in replacement for CIFAR-10.
Deepaugment
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150
Discover augmentation strategies tailored for your dataset
Mlnd
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149
Udacity Machine Learning Nano Degree Courses
Cifar 10.1
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145
Release of CIFAR-10.1, a new test set for CIFAR-10.
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.
Cifar10 Img Classification Tensorflow
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125
image classification with CIFAR10 dataset w/ Tensorflow
Synaptic Flow
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122
Pruning_filters_for_efficient_convnets
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121
PyTorch implementation of "Pruning Filters For Efficient ConvNets"
Keras_transfer_cifar10
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116
Object classification with CIFAR-10 using transfer learning
Capsule Gan
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111
Code for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".
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)
Puzzlemix
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101
Official PyTorch implementation of "Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup" (ICML'20)
Deep_learning_explorations
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89
Codes and experiments while learning and exploring deep learning by personal curiosity and online courses
Oc Nn
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88
Repository for the One class neural networks paper
Spectralnormalizationkeras
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86
Spectral Normalization for Keras Dense and Convolution Layers
Noisy_labels
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85
TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER
Keras Sequential Ascii
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84
ASCII summary for simple sequential models in Keras
G Simclr
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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.
Randwirenn
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69
Implementing Randomly Wired Neural Networks for Image Recognition, Using CIFAR-10 dataset, CIFAR-100 dataset
Stochastic Quantization
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67
Training Low-bits DNNs with Stochastic Quantization
Bayesbyhypernet
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55
Code for the paper Implicit Weight Uncertainty in Neural Networks
Csgmcmc
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54
Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning
Embedded_gcnn
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54
Embedded Graph Convolutional Neural Networks (EGCNN) in TensorFlow
Catalyst Examples
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53
Examples
Opticalcnn
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50
hybrid optical electronic convolutional neural networks
Metric Transfer.pytorch
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50
Deep Metric Transfer for Label Propagation with Limited Annotated Data
Signsgd
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48
Code for the signSGD paper
Dsvc
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47
Research Institute of Data Science and Vision Computing Machine Learning and Deep Learning Course
Oc Nn_old
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44
Models for one class neural networks
Semckd
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43
This is the official implementation for the AAAI-2021 paper (Cross-Layer Distillation with Semantic Calibration).
Pytorch Autoneb
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42
PyTorch AutoNEB implementation to identify minimum energy paths, e.g. in neural network loss landscapes
Cs231n_assignments
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41
[Assignments] CS231N: Convolutional Neural Networks for Visual Recognition (2016 & 2017)
Pytorch Experiments Template
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40
A pytorch based classification experiments template
Uda Pytorch
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39
Unsupervised Data Augmentation experiments in PyTorch
Cifarsota
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37
Reviewing recent advances in classification on CIFAR 10 and 100 datasets
Optimistic_gan_training
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37
Bag_of_tricks_cnn
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37
The implementation of paper "Bag of Tricks for Image Classification with Convolutional Neural Networks" by Xie et al.
Strassennets
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37
Deep learning with a multiplication budget
Tf Fed Demo
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36
A federated learning demo for AlexNet on CIFAR-10 dataset, basing on Tensorflow.
Ziff Deep Learning
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35
Project repo for Ziff Deep Learning Internship 2017 - Deep learning model performance improvement strategies
Image Search Engine
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34
End-to-end image search engine based on the Deep learning techniques.
Metric_learning
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33
Metric Learning App Dev Resource
Dataset Cleaner
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27
Notebook with the necessary instructions and code to clean your computer vision dataset
Confidentlearning Reproduce
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26
Official data release to reproduce Confident Learning paper results
Spectral Repr Cnns
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26
Implementation of Rippel, Snoek, and Adams 2015 (https://arxiv.org/pdf/1506.03767.pdf)
Progressively Growing Networks
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26
Experiments on different dataset on how to grow networks during training to learn new image categories.
Deep Learning Tutorial With Chainer
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24
Deep learning tutorial with Chainer
Tensorbag
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24
Collection of tensorflow notebooks tutorials for implementing the most important Deep Learning algorithms.
1 Bit Per Weight
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24
Training wide residual networks for deployment using a single bit for each weight
Cifar10 Vgg19 Tensorflow
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23
Resnet
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22
An implementation of the original "ResNet" paper in Pytorch
Machine Learning Notebooks
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22
15+ Machine/Deep Learning Projects in Ipython Notebooks
Nolearn_utils
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21
Utilities for nolearn.lasagne
Gram Ood Detection
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21
F Anogan_with_pytorch
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20
Squeezenext.pytorch
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20
re-implement for paper: SqueezeNext: Hardware-Aware Neural Network Design. (SqueezeNext)
Keras Cifar10
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19
practice on CIFAR10 with Keras
Pytorch Examples
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19
MNIST Clasification with Pytorch
Transformer Implementations
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19
Library - Vanilla, ViT, DeiT, BERT, GPT
Synapticmetaplasticitybnn
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19
Paper submission
Bre Gan
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18
Code for ICLR2018 paper: Improving GAN Training via Binarized Representation Entropy (BRE) Regularization - Y. Cao · W Ding · Y.C. Lui · R. Huang
Learning Tensorflow
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18
Simple Tensorflow tutorials for learning by example
Pytorch Convcnp
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18
A PyTorch Implementation of Convolutional Conditional Neural Process.
Learningwithpython
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17
Cifar10 Cnn
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17
Some experiments with CIFAR-10 dataset
Cifar 10 Wrn
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17
Using Wide Residual Networks to get state-of-the-art results in CIFAR-10 dataset
Keras Lbl Ivs
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17
keras实现人证比对论文《Large-scale Bisample Learning on ID vs. Spot Face Recognition》的核心思想; 当类别数非常大时(超过百万),GPU显存可能无法装载权重参数;可以使用支配原型概念,每个step将相 step结束时更新并保存当前训练类别的原型权重
Whitebox Part1
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16
In this part, i've introduced and experimented with ways to interpret and evaluate models in the field of image. (Pytorch)
Pytorch Examples
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16
PyTorch examples for NERSC systems
Tfx Kubeflow Pipelines
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15
Kubeflow pipelines built on top of Tensorflow TFX library
Keras Imprinting
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14
论文Low-Shot Learning with Imprinted Weights 的keras 版简要实现;
Cifar100
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14
Convolution neural networks to classify cifar 100 images
Sc19 Dl Tutorial
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14
Hands-on material for the SC19 tutorial, Deep Learning at Scale
Deep Learning Notebooks
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14
Collection of my implementations of various papers and the stuff I like.
Training Batchnorm And Only Batchnorm
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13
Experiments with the ideas presented in https://arxiv.org/abs/2003.00152 by Frankle et al.
Dot
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13
code submission to NeurIPS2019
Apex_pytorch_cifar_experiment
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13
Cifar 10_resnet_tensorflow
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13
resnet Identity Mappings in tensorflow
Alexnet
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13
AlexNet model from ILSVRC 2012
Lookahead_pytorch
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13
Pytorch implementation of lookahead optimizer(https://arxiv.org/pdf/1907.08610.pdf) and RAdam(https://arxiv.org/pdf/1908.03265.pdf)
Cs231n
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12
Assignments of CS231n: Convolutional Neural Networks for Visual Recognition
Master_thesis
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12
Repo for my Master Thesis at ULiège in 2019 (Machine learning under resource constraints)
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