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bayesian-machine-learning

Notebooks about Bayesian methods for machine learning

caffe-cvprw15

:heart::coffee: Deep Learning of Binary Hash Codes for Fast Image Retrieval (CVPRW15)

cifar-10-cnn

Play deep learning with CIFAR datasets

cifar10-img-classification-tensorflow

image classification with CIFAR10 dataset w/ Tensorflow

cifar10-tensorflow

cifar10数据集上进行图片分类，基于tensorflow框架，旨在探究不同的改进策略对分类准确率的影响，如何一步步得提高准确率

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

generative-models

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

gumbel-softmax

categorical variational autoencoder using the Gumbel-Softmax estimator

hashnet

Code release for "HashNet: Deep Learning to Hash by Continuation" (ICCV 2017)

improved_wgan_training

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

krasserm.github.io

lm_gans

Professor Forcing, NIPS'16

models

Models built with TensorFlow

pytorch_deephash

Pytorch implementation of Deep Learning of Binary Hash Codes for Fast Image Retrieval, CVPRW 2015

rnn.wgan

Code for training and evaluation of the model from "Language Generation with Recurrent Generative Adversarial Networks without Pre-training"

rnn_text_writer

How to train RNN with ML and use it to generate sentences - This is fork from Tensorflow's PTB RNN model with some additional features and experiments

seqgan

Implementation of Sequence Generative Adversarial Nets with Policy Gradient

seqgan-text-tensorflow

:dango: SeqGAN implementation for generating text using an RNN.

textgan

Similar to Professor Forcing - Improving text generation with adversarial objectives

vade

Python code for paper - Variational Deep Embedding : A Generative Approach to Clustering