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 mode…

Face Recognition Project on MXNet

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

Essential Cheat Sheets for deep learning and machine learning researchers

A Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks.

Curated Tensorflow code resources to help you get started

Introduction to Deep Neural Networks with Keras and Tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

TensorFlow Tutorial and Examples for beginners

Models built with TensorFlow

中文 Python 笔记

The classical papers and codes about generative adversarial nets

TensorFlow Tutorials

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

100 numpy exercises (100% complete)

learn code with tensorflow

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

Auxiliary Classifier Generative Adversarial Networks in Keras

a tensorflow implementation of WGAN

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

USPS Dataset Classification using LIBSVM

implement center loss operator for mxnet

Matlab_ECCV16_Center_Loss

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

model ensemble using bags of basic linear classifier, from scratch

Information Theoretic Learning Auto-encoders