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Information Dropout ⭐ 34

Implementation of Information Dropout

Neural network library written in C and Javascript

Pytorch Nn Practice ⭐ 33

💩 My pytorch neural network practice repo

Metric_learning ⭐ 33

Metric Learning App Dev Resource

Parameterized fit and prediction harnesses for pytorch

Cifar 10 ⭐ 32

Use the famous CIFAR-10 dataset to train a multi-layer neural network to recognize images of cats, dogs, and other things.

Stable Weight Decay Regularization ⭐ 31

[NeurIPS 2023] The PyTorch Implementation of Scheduled (Stable) Weight Decay.

PyTorch Implementation of iCaRL

Code release for OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer (TIP2020)

Image_classification ⭐ 27

🎯 Deep Learning Framework for Image Classification & Regression in Pytorch for Fast Experiments

Deepdefense.pytorch ⭐ 26

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

Deep Compression.pytorch ⭐ 26

Unofficial Pytorch implementation of Deep Compression in CIFAR10

A numerical optimisation and deep learning framework for D.

One Pixel Attack Pytorch ⭐ 26

Pytorch reimplementation of "One pixel attack for fooling deep neural networks"

Hybrid Snn Conversion ⭐ 26

Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation

Amp Regularizer ⭐ 25

Code for our paper "Regularizing Neural Networks via Adversarial Model Perturbation", CVPR2021

Deep Learning Tutorial With Chainer ⭐ 24

Deep learning tutorial with Chainer

Delugenets ⭐ 24

DelugeNets: Deep Networks with Efficient and Flexible Cross-layer Information Inflows

Deep Infomax ⭐ 24

Chainer implementation of deep-INFOMAX

Tensorbag ⭐ 24

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

Cifar10 Vgg19 Tensorflow ⭐ 23

This is the repository for DFST paper Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification.

Machine Learning Notebooks ⭐ 22

15+ Machine/Deep Learning Projects in Ipython Notebooks

Vgg Cifar10 ⭐ 22

TensorFlow implementation of "Very Deep Convolutional Networks for Large Scale Image Recognition", model fine-tuned and adapted for CIFAR-10.

Supervised Deep Sparse Coding Networks ⭐ 22

supervised deep sparse coding networks

Classification Ad ⭐ 22

Repository for the paper "Rethinking Assumptions in Anomaly Detection"

An implementation of the original "ResNet" paper in Pytorch

Tracking_via_colorization ⭐ 21

Tracking via Colorization Tensorflow implementatin of Tracking Emerges by Colorizing Videos

Deep Columnar Convolutional Neural Network ⭐ 19

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

Pytorch Examples ⭐ 19

MNIST Clasification with Pytorch

Patternrecognitionanddeeplearning Lab ⭐ 19

2019春哈工大模式识别与深度学习实验

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

Variational_dropout_sparsifies_dnn ⭐ 18

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

Pytorch Convcnp ⭐ 18

A PyTorch Implementation of Convolutional Conditional Neural Process.

Dnn_from_scratch ⭐ 18

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

Learning Tensorflow ⭐ 18

Simple Tensorflow tutorials for learning by example

CACU's Evolution version

Torchskeleton ⭐ 17

Optimized Utilities for PyTorch

Deficient Efficient ⭐ 17

Successfully training approximations to full-rank matrices for efficiency in deep learning.

Cifarclassify ⭐ 17

实现常用图像分类算法

Similarity Adaptive Deep Hashing ⭐ 16

Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization (TPAMI2018)

Ddsh Tip2018 ⭐ 16

source code for paper "Deep Discrete Supervised Hashing"

Whitebox Part1 ⭐ 16

In this part, i've introduced and experimented with ways to interpret and evaluate models in the field of image. (Pytorch)

Variational Dropout ⭐ 15

TensorFlow implementation of the method from Variational Dropout Sparsifies Deep Neural Networks, Molchanov et al. (2017)

F Anogan Pytorch ⭐ 15

Unofficial PyTorch implementation for f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks.

Selective_deep_learning ⭐ 15

Code for the paper "Selective Classification for Deep Neural Networks"

Matconvnet Resnet ⭐ 14

MatConvNet Implementation for Deep Residual Networks

Cifar Tensorflow ⭐ 14

Deep Q Learning Adversarial ⭐ 14

Image Defect Detection Based On Cnn ⭐ 14

TensorBasicModel

VGG16 network for recognition

Pytorch implementation of Exploring Simple Siamese Representation Learning

Tensorflow_cnn ⭐ 13

Example CNN on CIFAR-10 classification

Training Batchnorm And Only Batchnorm ⭐ 13

Experiments with the ideas presented in https://arxiv.org/abs/2003.00152 by Frankle et al.

Fully Learnable Group Convolution.pytorch ⭐ 13

Implementation of "Fully Learnable Group Convolution for Acceleration of Deep Neural Networks", CVPR'19

Zero_shot_learning ⭐ 13

A Visual-semantic embedding model using word2vec and CNNs

Ssdh_pytorch ⭐ 13

Source code for paper "Semantic Structure-based Unsupervised Deep Hashing" on IJCAI-2018

AlexNet model from ILSVRC 2012

Temporal Ensembling Semi Supervised ⭐ 13

keras implementation of temporal ensembling(semi-supervised learning)

Lookahead_pytorch ⭐ 13

Pytorch implementation of lookahead optimizer(https://arxiv.org/pdf/1907.08610.pdf) and RAdam(https://arxiv.org/pdf/1908.03265.pdf)

Kerasvggcifar10 ⭐ 12

Keras VGG implementation for CIFAR-10 classification Tutorial

Probabilistic Image Colorization

Simplecudaneuralnet ⭐ 12

Concise neural network with C++ and CUDA

Deeplearninglab ⭐ 12

Some of the lab examples an exercises of my deep learning lectures

Pytorch Peleenet ⭐ 12

Simple Code Implementation of "PeleeNet" architecture in "Pelee Paper" using PyTorch.

Adverserial_attack ⭐ 12

Different Adversarial attack methods implemented in PyTorch on CIFAR-10 Dataset

Cnn_object_classification ⭐ 12

Simple object classification project with deep-learning. We choose CIFAR10, CIFAR100 and Caltech101 as training datasets.

Deeplearningdenoise ⭐ 12

Denoising Cifar10 images using deep learning with Keras

Resnet_cifar10_cifar100_imagenet ⭐ 11

resnet_cifar10_cifar100_imagenet

Deeplearninglab ⭐ 10

Let the “Deep Learning Lab” begin! This is Deep Learning Lab” story series which contains my individual deep learning works with different cases.

Swish Activation ⭐ 10

Repo for my blogs explaining swish activation function

Sensitivity Analysis of Deep Neural Networks (AAAI-19 paper)

Conv Autoencoder ⭐ 10

Unsupervised Image Retrieval with Convolutional Autoencoder in Tensorflow

Cifar10 Object Recognition ⭐ 9

{Python}: Mix-Match of several image Processing and Machine Learning Techniques for object recognition

Semisupervised Learning With Dcgans ⭐ 9

Using DCGANs to learn useful representations during the adversarial training process and using the learned features to classify images with relatively little training data

Tf2 Evonorm ⭐ 9

TensorFlow 2.0 implementation of Evonorm

Matconvnet Resnet ⭐ 9

Deep Residual Networks for MatConvNet

Deep learning and matrix factorization in C++

Geneticnas ⭐ 9

The genetic neural architecture search (GeneticNAS) is a neural architecture search method that is based on genetic algorithm which utilized weight sharing across all candidate network.

Shake Shake Keras ⭐ 8

Keras implementation of Shake-Shake regularization

Standalone Center Loss ⭐ 8

Evaluating the effectiveness of using standalone center loss.

Neural Ode Features ⭐ 8

Pytorch code to train image classifiers based on ODE Nets on MNIST and CIFAR-10, extract features and test robustness to adversarial examples

Vanilla Adversarial Training ⭐ 8

vanilla training and adversarial training in PyTorch

Hands On Deep Learning Using Tensorflow 2.0 ⭐ 8

重读 CNN 网络的经典论文，并用 tensorflow 2.0 手撸一遍经典模型，感受一下实测数据

Vgg Tensorflow ⭐ 8

VGGNet with TensorFlow

Udacity Image Classification ⭐ 8

Project 2 from Udacity DeepLearning NanoDegree

Deeplearning 21 Examples ⭐ 8

Classification ⭐ 8

Repository for emDNN compressed classification models.

Gan Pytorch ⭐ 8

Implementation of the paper "Generative Adversarial Networks — Goodfellow et al. (2014)" in Pytorch

Cifar10 Resnet Tensorflow ⭐ 7

base backbone model

Multi Criteria Active Deep Learning For Image Classification ⭐ 7

Multi-Criteria Active Deep Learning for Image Classification

Graduation Design ⭐ 7

基于剪枝的神经网络压缩与加速

Stanford cs231n (HKUST COMP4901J Fall 2018 Deep Learning in Computer Vision) Assignment Repository

Dl_practice ⭐ 7

Deep learning practice for students to play with popular deep learning frameworks.

Training Deep Learning Models For Vison ⭐ 7

Image_transformer ⭐ 7

Gconv Prune ⭐ 6

Code repository for paper "Efficient Structured Pruning and Architecture Searching for Group Convolution" https://arxiv.org/abs/1811.09341

Uniformaugment ⭐ 6

Unofficial PyTorch Reimplementation of UniformAugment.

The official implementation of LumiNet: The Bright Side of Perceptual Knowledge Distillation https://arxiv.org/abs/2310.03669

Deep Supervised Hashing with Triplet Labels

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