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Unsupervised representation learning with CapsNet based Generative Adversarial Networks

Memorygan ⭐ 42

Repository for our ICLR 2018 paper: memoryGAN

Pytorch Autoneb ⭐ 42

PyTorch AutoNEB implementation to identify minimum energy paths, e.g. in neural network loss landscapes

Orthogonallowrankembedding ⭐ 41

Improved_contrastive_divergence ⭐ 41

[ICML'21] Improved Contrastive Divergence Training of Energy Based Models

Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".

Relativenas ⭐ 41

The official implementation of RelativeNAS

The official implementation of "Asymmetric Patch Sampling for Contrastive Learning"

Cs231n_assignments ⭐ 41

[Assignments] CS231N: Convolutional Neural Networks for Visual Recognition (2016 & 2017)

NeurIPS'18: Masking: A New Perspective of Noisy Supervision

Ruby Dnn ⭐ 40

ruby-dnn is a ruby deep learning library.

Gcnet Pytorch ⭐ 40

This is a pytorch type of block，including Non-local block，Simple Non-local block，GC block and all GC block; refer to paper《GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond》

Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.

Tensorflow_on_slurm ⭐ 40

Pytorch Experiments Template ⭐ 40

A pytorch based classification experiments template

Pytorch Cifar10 ⭐ 39

The state-of-the-art algorithms on CIFAR-10 dataset in PyTorch

Zslearning ⭐ 39

Repository for deep zero-shot learning via cross-modality transfer

Superneurons Release ⭐ 39

this is the release repository of superneurons

Uda Pytorch ⭐ 39

Unsupervised Data Augmentation experiments in PyTorch

Billion Scale Semi Supervised Learning ⭐ 39

Implementing Billion-scale semi-supervised learning for image classification using Pytorch

Chainer Inception Score ⭐ 39

Inception Score Module for Chainer

Cppn Wgan ⭐ 39

Generative Art Experiments

Linbp Attack ⭐ 38

Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.

Twin Auxiliary Classifiers Gan ⭐ 38

Official Implementation of "Random Path Selection for Incremental Learning" paper. NeurIPS 2019

Sample code of B-CNN paper (https://arxiv.org/abs/1709.09890) written in Python3+.

Lp Deepssl ⭐ 38

Code for CVPR 2019 paper Label Propagation for Deep Semi-supervised Learning

Keras Acgan Cifar10 ⭐ 38

Continual Learning Reproduce ⭐ 38

Continual / incremental / lifelong learning methods implemented by PyTorch. Especially the methods based on memory replay.

Shake Shake_pytorch ⭐ 38

PyTorch implementation of shake-shake regularization

Strassennets ⭐ 37

Deep learning with a multiplication budget

Variance Networks ⭐ 37

Variance Networks: When Expectation Does Not Meet Your Expectations, ICLR 2019

Bag_of_tricks_cnn ⭐ 37

The implementation of paper "Bag of Tricks for Image Classification with Convolutional Neural Networks" by Xie et al.

Optimistic_gan_training ⭐ 37

Mixed Depthwise Convolutional Kernels ⭐ 37

Implementing MixNet: Mixed Depthwise Convolutional Kernels using Pytorch

Cifarsota ⭐ 37

Reviewing recent advances in classification on CIFAR 10 and 100 datasets

Vat_chainer ⭐ 36

Implementation of Virtual adversarial training with chainer

Tf Fed Demo ⭐ 36

A federated learning demo for AlexNet on CIFAR-10 dataset, basing on Tensorflow.

Shake Drop_pytorch ⭐ 36

PyTorch implementation of shake-drop regularization

Multi Task Image Classification ⭐ 36

Multi-task learning for image classification implemented in PyTorch.

Zero-Shot Knowledge Distillation in Deep Networks

Striving for Simplicity: The All Convolutional Net (All-CNN-C)

Open Set Recognition ⭐ 36

Open Set Recognition

Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"

Pytorch Nin Cifar10 ⭐ 36

pytorch implementation of network-in-network model on cifar10

Trained Rank Pruning ⭐ 35

Pytorch implementation of TRP

Pytorch Lr Dropout ⭐ 35

"Learning Rate Dropout" in PyTorch

Ziff Deep Learning ⭐ 35

Project repo for Ziff Deep Learning Internship 2017 - Deep learning model performance improvement strategies

Informative Outlier Mining ⭐ 35

We propose a theoretically motivated method, Adversarial Training with informative Outlier Mining (ATOM), which improves the robustness of OOD detection to various types of adversarial OOD inputs and establishes state-of-the-art performance.

Code for UAI 2020 paper "Locally Masked Convolution for Autoregressive Models"

S2m2_fewshot ⭐ 35

Cppn Gan Vae Cifar Tensorflow ⭐ 35

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

Wide Residual Network ⭐ 35

Wide-residual network implementations. Best result for cifar10(97.12%), cifar100(84.12%), and other kaggle challenges

This repository contains an official implementation of LPBNN.

Catgan_pytorch ⭐ 34

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

Cac Openset ⭐ 34

Code for Class Anchor Clustering loss for training a distance-based open set classifier

[ICML 2019] ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation

Image Search Engine ⭐ 34

End-to-end image search engine based on the Deep learning techniques.

Deepfashion ⭐ 34

Information Dropout ⭐ 34

Implementation of Information Dropout

Adversarial_spatial ⭐ 34

Investigating the robustness of state-of-the-art CNN architectures to simple spatial transformations.

Neural_kernels_code ⭐ 33

Metric_learning ⭐ 33

Metric Learning App Dev Resource

Selection Via Proxy ⭐ 33

Parameterized fit and prediction harnesses for pytorch

Pytorch Nn Practice ⭐ 33

💩 My pytorch neural network practice repo

Dynamic Routing Capsule Cifar ⭐ 33

CapsNet reference from : https://github.com/XifengGuo/CapsNet-Keras

Neural network library written in C and Javascript

[ECCV 2020]"Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search" By Yuan Tian, Qin Wang, Zhiwu Huang, Wen Li, Dengxin Dai, Minghao Yang, Jun Wang, Olga Fink

Cifar 10h ⭐ 32

Original dataset release for CIFAR-10H

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.

MUXConv: Information Multiplexing in Convolutional Neural Networks (CVPR '20), Pytorch Implementation

Jointoptimization ⭐ 32

Joint Optimization Framework for Learning with Noisy Labels

Sasa Pytorch ⭐ 32

Unofficial implementation of Stand-Alone Self-Attention in Vision Models (obsolete)

Sharesnet ⭐ 32

ShaResNet: reducing residual network parameter number by sharing weights

Resnet Tensorflow ⭐ 32

Modular Residual Networks implemented in TensorFlow. Easily change hyperparameters in a few lines.

Torch_swa_examples ⭐ 31

Stable Weight Decay Regularization ⭐ 31

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

R bindings to the CNTK library

Evolutionarygan Pytorch ⭐ 31

The author's officially unofficial Pytorch EvolutionaryGAN implementation.

Ladder Vae Pytorch ⭐ 31

Ladder Variational Autoencoders (LVAE) in PyTorch

Dni Tensorflow ⭐ 30

DNI (Decoupled Neural Interfaces using Synthetic Gradients) Implementation with Tensorflow.

Png 2 Cifar10 ⭐ 30

Command line tool for converting a set of images to cifar10 binary for training - requires imagemagick and PIL (python 2.7)

Prediction_gan ⭐ 30

PyTorch Impl. of Prediction Optimizer (to stabilize GAN training)

CIFAR 10 image dataset

Ead_attack ⭐ 30

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

SC2Net: Learning Sparse Coding Through Sparse LSTM

Red Datasets ⭐ 30

A RubyGem that provides common datasets

Enas Pytorch ⭐ 30

"Efficient Neural Architecture Search via Parameter Sharing" implementation in PyTorch

Cifarvae ⭐ 30

Variational Auto Encoder

Mixup Inference ⭐ 29

Further improve robustness of mixup-trained models in inference (ICLR 2020)

Codes for NeurIPS 2020 paper "Adversarial Weight Perturbation Helps Robust Generalization"

Pytorch Simclr ⭐ 29

A PyTorch reproduction of 'A Simple Framework for Contrastive Learning of Visual Representations' by Ting Chen, et al.

Rethinking_er ⭐ 29

Code to reproduce the experiments of "Rethinking Experience Replay: a Bag of Tricks for Continual Learning"

Residual Binarized Neural Network

Cluster Loss Tensorflow ⭐ 29

This a an impletation of Deep Metric Learning via Facility Location on tensorflow

PyTorch Implementation of iCaRL

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