Machine learning, in numpy

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

Collection of generative models in Tensorflow

DeepNude's algorithm and general image generation theory and practice research, including pix2pix, CycleGAN, UGATIT, DCGAN, SinGAN, ALAE, mGANprior, StarGAN-v2 and VAE models (TensorFlow2 implementation). DeepNude的算法以及通用生成对抗网络（GAN,Generative Adversarial Network）图像生成的理论与实践研究。

A Collection of Variational Autoencoders (VAE) in PyTorch.

Advanced Deep Learning with Keras, published by Packt

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

でぃーぷらーにんぐを無限にやってディープラーニングでDeepLearningするための実装CheatSheet

A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).

PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

Tensorflow implementation of variational auto-encoder for MNIST

Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation 🌟

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

Vector Quantized VAEs - PyTorch Implementation

Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"

Experiments for understanding disentanglement in VAE latent representations

Recurrent Variational Autoencoder that generates sequential data implemented with pytorch

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

Dataset to assess the disentanglement properties of unsupervised learning methods

Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations

Pytorch implementation of β-VAE

Pytorch implementation of Hyperspherical Variational Auto-Encoders

Stochastic Adversarial Video Prediction

A tensorflow implementation of "Generating Sentences from a Continuous Space"

A developing recommender system in pytorch. Algorithm: KNN, LFM, SLIM, NeuMF, FM, DeepFM, VAE and so on, which aims to fair comparison for recommender system benchmarks

VPoser: Variational Human Pose Prior

Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).

Minimalist implementation of VQ-VAE in Pytorch

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch