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age

Code for the paper "Adversarial Generator-Encoder Networks"

autoencoding_beyond_pixels

Generative image model with learned similarity measures

biggan-pytorch

The author's officially unofficial PyTorch BigGAN implementation.

cliffbao.github.io

cond_rnn

Conditional RNNs made easy with Tensorflow and Keras.

conditional_density_estimation

Package implementing various parametric and nonparametric methods for conditional density estimation

cvae-gan-zoos-pytorch-beginner

For beginner, this will be the best start for VAEs, GANs, and CVAE-GAN. This contains AE, DAE, VAE, GAN, CGAN, DCGAN, WGAN, WGAN-GP, VAE-GAN, CVAE-GAN. All use PyTorch.

deep-learning-with-cats

Deep learning with cats (^._.^)

doppelganger

Generating High-fidelity, Synthetic Time Series Datasets with DoppelGANger

gan_stability

Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"

gjk-epa

C++ implementation of GJK and EPA algorithms for 2D collision detection

gppvae

Gaussian Process Prior Variational Autoencoder

grip

grtp

hello-world

just for learning tutorial

improved_wgan_training

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

improvedgan-pytorch

Semi-supervised GAN in "Improved Techniques for Training GANs"

indrnn-pytorch

pytorch implementation of Independently Recurrent Neural Networks https://arxiv.org/abs/1803.04831

indrnn_theano_lasagne

This code is to implement the IndRNN.

interaction-dataset

Interaction Dataset Python Scripts

interpret_challenge_regular_generalizability_track

layernorm_gru

Implement layer normalization GRU in pytorch

lstms.pth

PyTorch implementations of LSTM Variants (Dropout + Layer Norm)

memorygan

Repository for our ICLR 2018 paper: memoryGAN

mlforhealthlabpub

Machine Learning and Artificial Intelligence for Medicine.

mlp

Simple multilayer perceptron c++ implementation.

mmd_loss.pytorch

A pytorch implementation of Maximum Mean Discrepancies(MMD) loss

mocogan

MoCoGAN: Decomposing Motion and Content for Video Generation

monitoring-neuron-activations

A descriptive visualization and monitoring of neuron activations using the comparison approaches.

neural-processes

This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).