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172 search results found

Dualpathnet ⭐ 16

Dual Path Networks on cifar-10 and fashion-mnist datasets

Zoo_attack_pytorch ⭐ 16

This repository contains the PyTorch implementation of Zeroth Order Optimization Based Adversarial Black Box Attack (https://arxiv.org/abs/1708.03999)

Whitebox Part1 ⭐ 16

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

Tensorflow Helloworld ⭐ 16

Ead Attack ⭐ 15

Codes for reproducing the white-box adversarial attacks in “EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples,” AAAI 2018

Dnn Datadependentactivation ⭐ 15

The code for the paper: https://arxiv.org/pdf/1802.00168.pdf

PyTorch implementation of NICE

Vanillagan Tensorflow ⭐ 14

Vanilla GAN TensorFlow Implementation

Augmented_lagrangian_adversarial_attacks ⭐ 14

Code for the ICCV 2021 paper "Augmented Lagrangian Adversarial Attacks"

Deep Q Learning Adversarial ⭐ 14

Image Defect Detection Based On Cnn ⭐ 14

TensorBasicModel

Hyper volume maximization for GAN training

package manager for datasets

Certifiedpatchdefense ⭐ 13

Repository for Certified Defenses for Adversarial Patch ICLR-2020

Chainer Lsgan ⭐ 13

Least Squares Generative Adversarial Network implemented in Chainer

Cifar Autoencoder ⭐ 13

A look at some simple autoencoders for the Cifar10 dataset, including a denoising autoencoder. Python code included.

Ares: A framework for quantifying the resilience of deep neural networks

Deeplearninglab ⭐ 12

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

Semi Supervised_robust_training ⭐ 12

This is the code for semi-supervised robust training (SRT).

SNE Simulation Dataset Functions

Activationfunctiondemo ⭐ 11

The "Activation Function Demo" is a demo for implementing activation function with the mathod propsed in paper: Design Space Exploration of Neural Network Activation Function Circuits

Swish Activation ⭐ 10

Repo for my blogs explaining swish activation function

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

Code for reproducing experiments on MNIST and CIFAR-10 in paper "Positive-Unlabeled Learning with Non-Negative Risk Estimator".

Ai Course ⭐ 10

Materials for Principle of Artificial Intelligence

Simple Semantic Segmentation

Conv Autoencoder ⭐ 10

Unsupervised Image Retrieval with Convolutional Autoencoder in Tensorflow

Pytorch Quant ⭐ 9

DL quantization for pytorch

Burstprop ⭐ 9

Code to train on MNIST, CIFAR-10 and ImageNet using burstprop.

Improved_wasserstein ⭐ 9

Code for our ICLR Trustworthy ML 2020 workshop paper "Improved Image Wasserstein Attacks and Defenses"

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

Classifier ⭐ 9

Tensorflow Implementation for MAGAN: Margin Adaptation for Adversarial Networks

Entangled Watermark ⭐ 8

A layer-wise algorithm for learning Convolutional Neural Networks

"Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness" (NeurIPS 2020).

Standalone Center Loss ⭐ 8

Evaluating the effectiveness of using standalone center loss.

Gan Pytorch ⭐ 8

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

Compression Techniques For Deep Neural Networks ⭐ 8

Compression of Deep Neural Networks LeNet-300-100 and LeNet-5 trained on MNIST and CIFAR-10 using Quantization, Knowledge Distillation & Pruning.

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

Patchsmoothing ⭐ 8

Code for the paper "(De)Randomized Smoothing for Certifiable Defense against Patch Attacks" by Alexander Levine and Soheil Feizi.

Pytorch Demo ⭐ 8

A small demo for training cnn with pytorch.

Stackelberg Gan ⭐ 7

Codes for Stackelberg GAN

Pytorch_simple_classification_baselines ⭐ 7

Simple pytorch classification baselines for MNIST, CIFAR and ImageNet

Multi Criteria Active Deep Learning For Image Classification ⭐ 7

Multi-Criteria Active Deep Learning for Image Classification

Dpp Dropout Uncertainty ⭐ 7

Effective uncertainty estimation with decorellation and DPP mask for dropout

Code for reproducing experiments in "SCGAN: Disentangled Representation Learning by Adding Similarity Constraint on Generative Adversarial Nets"

Vae Clustering ⭐ 7

Using VAEs to do clustering for classification

Graduation Design ⭐ 7

基于剪枝的神经网络压缩与加速

Adam Analysis Tensorflow ⭐ 6

This repository analyzes the performance of Adam optimizer while comparing with others.

Pytorch Deep Learning ⭐ 6

GTSRB (Traffic sign), MNIST, CIFAR image classification and other good starting point

Bmxnet V2 Examples ⭐ 6

Examples for BMXNet v2 (https://github.com/hpi-xnor/BMXNet-v2)

Datasets for OCaml

Public Download Library

Deeplearningforbeginners ⭐ 6

Deep learning with tensorflow/PyTorch, mirrored stragety

Lanes Capsnet ⭐ 6

Separable and resource efficient organization of Capsule Networks (CapsNet)

Contra_triplet__loss ⭐ 6

Basics of Metric Learning

Cramer-Wold AutoEncoder

Dropblock_mxnet_bottom_implemention ⭐ 6

用C++实现一个mxnet版本dropblock Op 最后可以用mx.sym.Dropblock（）调用

Improved Gan Pytorch ⭐ 6

Implemenation of Semi-Supervised Learning using GANs in PyTorch for MNIST and CIFAR-10 datasets

Gradient Secure ⭐ 6

Generating distributions of neural networks

Poisoning Attack ⭐ 5

Genetic Keras ⭐ 5

Load various datasets in Python for computer vision purposes

Evolutionary Generated Adversarial Examples

Custom Vision Study ⭐ 5

Evolutionary_neural_network Stop ⭐ 5

Using evolutionary algorithm to search for a great neural network architecture.

Robustness Via Transport ⭐ 5

A computation-parallel deep learning architecture.

Iclr_reproducibility_challenge_autoloss ⭐ 5

Codebase for Autoloss reproduction report (ICLR 2019)

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