shizhan1992

shizhan1992's Stars

• bboylyg/NAD

  This is an implementation demo of the ICLR 2021 paper [Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks](https://openreview.net/pdf?id=9l0K4OM-oXE) in PyTorch.

  Language:Python11713

• BenWhetton/keras-surgeon

  Pruning and other network surgery for trained Keras models.

  Language:Python403107

• kangliucn/Fine-pruning-defense

  Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks (RAID 2018)

  Language:Python4717

• UsmannK/TABOR

  Implementation of TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems (https://arxiv.org/pdf/1908.01763.pdf)

  Language:Python182

• bolunwang/backdoor

  Code implementation of the paper "Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks", at IEEE Security and Privacy 2019.

  Language:Python26763

• rbgirshick/fast-rcnn

  Fast R-CNN

  Language:Python3.3k1.6k

• DakshIdnani/pytorch-nice

  Implementation of non-linear independent components estimation (NICE) in pytorch

  Language:Python508

• smartgeometry-ucl/dl4g

  Example code for the Siggraph Asia Tutorial CreativeAI

  Language:Jupyter Notebook549111

• kamenbliznashki/normalizing_flows

  Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows

  Language:Python603101

• NeymarL/Pacman-RL

  Implement some reinforcement learning algorithms, test and visualize on Pacman.

  Language:Python242

• MrSyee/pg-is-all-you-need

  Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.

  Language:Jupyter Notebook859119

• MisaOgura/flashtorch

  Visualization toolkit for neural networks in PyTorch! Demo -->

  Language:HTML73287

• szagoruyko/pytorchviz

  A small package to create visualizations of PyTorch execution graphs

  Language:Jupyter Notebook3.2k279

• cemanil/LNets

  Lipschitz Neural Networks described in "Sorting Out Lipschitz Function Approximation" (ICML 2019).

  Language:Python5519

• akamaster/pytorch_resnet_cifar10

  Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.

  Language:Python1.2k335

• huyvnphan/PyTorch_CIFAR10

  Pretrained TorchVision models on CIFAR10 dataset (with weights)

  Language:Python640154

• christiansafka/img2vec

  :fire: Use pre-trained models in PyTorch to extract vector embeddings for any image

  Language:Python58593

• aymericdamien/TensorFlow-Examples

  TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

  Language:Jupyter Notebook43.4k14.9k

• Hvass-Labs/TensorFlow-Tutorials

  TensorFlow Tutorials with YouTube Videos

  Language:Jupyter Notebook9.3k4.2k

• amix/vimrc

  The ultimate Vim configuration (vimrc)

  Language:Vim Script30.7k7.3k

• Mendeley/mrec

  A recommender systems development and evaluation package by Mendeley

  Language:Python563174

• muricoca/crab

  Crab is a flexible, fast recommender engine for Python that integrates classic information filtering recommendation algorithms in the world of scientific Python packages (numpy, scipy, matplotlib).

  Language:Python1.2k376

• astahlman/MLaPP

  Solutions to exercises from Machine Learning: A Probabilistic Perspective by Kevin P. Murphy

  Language:TeX4713

• probml/pmtk3

  Probabilistic Modeling Toolkit for Matlab/Octave.

  Language:HTML1.5k796