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wenzheng Hu's Projects

advbox icon advbox

Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.

awesome-pytorch-list icon awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

caffe-python-basic-tutorial icon caffe-python-basic-tutorial

Includes implementation details of almost every layer, weight fillers, solvers, loss functions and data layer setup with every parameter.

cnn-explainer icon cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization. https://poloclub.github.io/cnn-explainer/

cross-distillation icon cross-distillation

Codes for paper "Few Shot Network Compression via Cross Distillation", AAAI 2020.

dcgan-tensorflow icon dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

dropnet icon dropnet

DropNet: Reducing Neural Network Complexity via Iterative Pruning (ICML 2020)

enas icon enas

TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"

enas-pytorch icon enas-pytorch

PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

esc-10 icon esc-10

ESC-10: Dataset for Environmental Sound Classification

esc-50 icon esc-50

ESC-50: Dataset for Environmental Sound Classification

examples icon examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fairseq icon fairseq

Facebook AI Research Sequence-to-Sequence Toolkit

fashion-mnist icon fashion-mnist

A MNIST-like fashion product database. Benchmark :point_right:

foolbox icon foolbox

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

graphlstm_release icon graphlstm_release

Implementation of TACL 2017 paper: Cross-Sentence N-ary Relation Extraction with Graph LSTMs. Nanyun Peng, Hoifung Poon, Chris Quirk, Kristina Toutanova and Wen-tau Yih.

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