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Search results for mnist cifar

172 search results found

Tsne Cuda ⭐ 1,610

GPU Accelerated t-SNE for CUDA with Python bindings

Federated Learning Pytorch ⭐ 902

Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data

Generative Adversarial Networks implemented in PyTorch and Tensorflow

Ganomaly ⭐ 767

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

Random Erasing ⭐ 697

Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST

Deep Svdd Pytorch ⭐ 538

A PyTorch implementation of the Deep SVDD anomaly detection method

Neural Network Genetic Algorithm ⭐ 516

Evolving a neural network with a genetic algorithm.

Densenet Tensorflow ⭐ 471

Simple Tensorflow implementation of Densenet using Cifar10, MNIST

Capslayer ⭐ 354

CapsLayer: An advanced library for capsule theory

Sparse_learning ⭐ 334

Sparse learning library and sparse momentum resources.

Largemargin_softmax_loss ⭐ 297

Implementation for <Large-Margin Softmax Loss for Convolutional Neural Networks> in ICML'16.

Pt.darts ⭐ 274

PyTorch Implementation of DARTS: Differentiable Architecture Search

Minimalist implementation of VQ-VAE in Pytorch

Keras Examples ⭐ 235

Cnn From Scratch ⭐ 229

A scratch implementation of Convolutional Neural Network in Python using only numpy and validated over CIFAR-10 & MNIST Dataset

Awesome Tensorlayer ⭐ 212

A curated list of dedicated resources and applications

Detection by Attack: Detecting Adversarial Samples by Undercover Attack

Generative_adversarial_networks_101 ⭐ 190

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

Learning to Compose Domain-Specific Transformations for Data Augmentation

Ssl_bad_gan ⭐ 157

Good Semi-Supervised Learning That Requires a Bad GAN

Gan Vae Pretrained Pytorch ⭐ 148

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

Adversial_example_defense ⭐ 143

对抗性样本攻击与防御

Mobilenetv3 Tensorflow ⭐ 136

Unofficial implementation of MobileNetV3 architecture described in paper Searching for MobileNetV3.

Swift4tf ⭐ 130

A set of notebooks explaining swift for tensorflow optimized to run in Google Collaboratory.

Local Loss ⭐ 123

PyTorch code for training neural networks without global back-propagation

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"

Pytorch Capsulenet ⭐ 113

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

Capsule Gan ⭐ 111

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

Regularized_autoencoders Rae ⭐ 104

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)

Deep_learning_explorations ⭐ 89

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

Repository for the One class neural networks paper

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

Interval Bound Propagation ⭐ 83

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

Binaryconnect ⭐ 79

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

Residual_block_keras ⭐ 74

Residual network block in Keras

Badnets Pytorch ⭐ 70

Simple PyTorch implementations of Badnets on MNIST and CIFAR10.

Graphlearning ⭐ 69

Python package for graph-based clustering and semi-supervised learning

Example_forgetting ⭐ 68

Label Embedding Network ⭐ 68

Label Embedding Network

Non Local_nets Tensorflow ⭐ 67

An implement of Non-local neural networks for tensorflow version

Pytorch Gconv Experiments ⭐ 66

Experiments with Group Equivariant Convolutions in PyTorch

Dcgan Tensorflow ⭐ 65

A Tensorflow implementation of Deep Convolutional Generative Adversarial Networks trained on Fashion-MNIST, CIFAR-10, etc.

Wgan Gp Tensorflow ⭐ 62

WGAN-GP tensorflow implementation

Hyperion ⭐ 61

Python toolkit for speech processing

Entropy Sgd ⭐ 61

Lua implementation of Entropy-SGD

Adversarial Autoencoder ⭐ 57

An adversarial autoencoder implementation in pytorch

Mxnet_tutorial ⭐ 56

Using Mxnet!!!!

Bayesbyhypernet ⭐ 55

Code for the paper Implicit Weight Uncertainty in Neural Networks

Denser Models ⭐ 47

Lg Fedavg ⭐ 46

Federated Learning with Local and Global Representations

Deep Residual Networks Pyfunt ⭐ 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).

Gradient Based Sample Selection ⭐ 44

Oc Nn_old ⭐ 44

Models for one class neural networks

Unsupervised representation learning with CapsNet based Generative Adversarial Networks

Memorygan ⭐ 42

Repository for our ICLR 2018 paper: memoryGAN

Pytorch Experiments Template ⭐ 40

A pytorch based classification experiments template

Ruby Dnn ⭐ 40

ruby-dnn is a ruby deep learning library.

Superneurons Release ⭐ 39

this is the release repository of superneurons

Open Set Recognition ⭐ 36

Open Set Recognition

Cppn Gan Vae Cifar Tensorflow ⭐ 35

First attempt to use the previous CPPN-GAN-VAE model to train on CIFAR-10 images.

Information Dropout ⭐ 34

Implementation of Information Dropout

Neural network library written in C and Javascript

Metric_learning ⭐ 33

Metric Learning App Dev Resource

Red Datasets ⭐ 30

A RubyGem that provides common datasets

Ead_attack ⭐ 30

EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples

SC2Net: Learning Sparse Coding Through Sparse LSTM

Residual Binarized Neural Network

Adversarial_genattack ⭐ 28

Anchor-t-SNE for large-scale and high-dimension vector visualization

(NeurIPS 2020) Meta-Consolidation for Continual Learning

Deepdefense.pytorch ⭐ 26

Implementation of our NeurIPS 2018 paper: Deep Defense: Training DNNs with Improved Adversarial Robustness

Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"

Tensorbag ⭐ 24

Collection of tensorflow notebooks tutorials for implementing the most important Deep Learning algorithms.

SGD and Ordered SGD codes for deep learning, SVM, and logistic regression

Multi Level Dcnet ⭐ 24

Multi-level Dense Capsule Networks, in ACCV 2018

Theano Xnor Net ⭐ 23

Theano implementation of XNOR-Net

Denoising Variational Autoencoder

Certifiedrelurobustness ⭐ 22

Efficient Robustness Verification for ReLU networks (this repository is DEPRECATED, don't use, see description)

Gated Pixel Cnn ⭐ 22

A TensorFlow implementation of the gated variant of PixelCNN (Gated PixelCNN) from "Conditional Image Generation with PixelCNN Decoders" (https://arxiv.org/abs/1606.05328).

Torch Lsuv ⭐ 21

Torch implementation of LSUV weight init from http://arxiv.org/abs/1511.06422

Nolearn_utils ⭐ 21

Utilities for nolearn.lasagne

Bigbigan Tensorflow2.0 ⭐ 21

TensorFlow 2.0 implementation of Large Scale Adversarial Representation Learning(BigBiGAN)

F Anogan_with_pytorch ⭐ 20

Repository for our ICCV 2019 paper: Adversarial Defense via Learning to Generate Diverse Attacks

Deep Columnar Convolutional Neural Network ⭐ 19

Deep Columnar Convolutional Neural Network architecture, which is based on Multi Columnar DNN (Ciresan 2012).

Synapticmetaplasticitybnn ⭐ 19

Paper submission

Hold Me Tight ⭐ 19

Source code of "Hold me tight! Influence of discriminative features on deep network boundaries"

Pytorch Examples ⭐ 19

MNIST Clasification with Pytorch

Learning Tensorflow ⭐ 18

Simple Tensorflow tutorials for learning by example

Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)

Dnn_from_scratch ⭐ 18

A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).

Variational_dropout_sparsifies_dnn ⭐ 18

Variational Dropout Sparsifies Deep Neural Networks (Molchanov et al. 2017) by Chainer

Structural Regularity ⭐ 17

Metric_learning_adversarial_robustness ⭐ 17

Code for NeurIPS 2019 Paper

AAAI 2021: Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise

Learningwithpython ⭐ 17

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