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wxhucong's Projects

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.

adversarialnetspapers

The classical papers and codes about generative adversarial nets

bagging

model ensemble using bags of basic linear classifier, from scratch

bagging_pu

Simple sklearn based python implementation of Positive-Unlabeled (PU) classification using bagging based ensembles

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

deep-learning-keras-tensorflow

Introduction to Deep Neural Networks with Keras and Tensorflow

dropout

A theano implementation of Hinton's dropout.

ensemble_learning

Experimentation with bagging, adaboost, and random forests.

ensemblebagging

A implementation of Bagging with Neural Networks

generative-models

Collection of generative models, e.g. GAN, VAE in Tensorflow, Keras, and Pytorch.

improved_wgan_training

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

insightface

Face Recognition Project on MXNet

itl-ae

Information Theoretic Learning Auto-encoders

keras-acgan

Auxiliary Classifier Generative Adversarial Networks in Keras

kl-divergence

Simple experiments with the Kullback-Leibler divergence calculation for samples from distributions

lwta-theano

local winner takes all

matlab-bagging-ensemble-neural-network

A simple bagging ensemble neural network wrote in MATLAB

models

Models built with TensorFlow

mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more