140 Open source projects that are alternatives of or similar to Wae Pytorch

Generative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)

Repository for implementation of generative models with Tensorflow 1.x

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

Collection of generative models in Tensorflow

Playing with MNIST. Machine Learning. Generative Models.

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

🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervised, weakly supervised and unsupervised methods ▸ Easily configured and run with Hydra config ▸ Inspired by disentanglement_lib

Experiments for understanding disentanglement in VAE latent representations

Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes

Implementation of Sequential Attend, Infer, Repeat (SQAIR)

Awesome Generative Adversarial Networks with tensorflow

Variational Autoencoders (VAEs) in Theano for Images and Text

PyTorch Implementation of Google's Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling

ACL 2020 Unsupervised Opinion Summarization as Copycat-Review Generation

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

Ladder Variational Autoencoders (LVAE) in PyTorch

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

A minimal implementation of Wasserstein GAN

Vector Quantized VAEs - PyTorch Implementation

An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU) in ICLR 2017.

Voice conversion (VC) investigation using three variants of VAE

Inspired by the neural style algorithm in the computer vision field, we propose a high-level language model with the aim of adapting the linguistic style.

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

A collection of deep learning models (PyTorch implemtation)

Implementation of VAE and Style-GAN Architecture Achieving State of the Art Reconstruction

Implementations of (theoretical) generative adversarial networks and comparison without cherry-picking

Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations

This repository hosts a customized PPO based agent for Carla. The goal of this project is to make it easier to interact with and experiment in Carla with reinforcement learning based agents -- this, by wrapping Carla in a gym like environment that can handle custom reward functions, custom debug output, etc.

music generation with a classifying variational autoencoder (VAE) and LSTM

Tensorflow implementation of variational auto-encoder for MNIST

VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.

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

Chainer implementation of the Wesserstein GAN

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

A combination of VAE's and Diffusion Models for efficient, controllable and high-fidelity generation from low-dimensional latents

Official PyTorch Implementation of "DLow: Diversifying Latent Flows for Diverse Human Motion Prediction". ECCV 2020.

Recurrent Variational Autoencoder with Dilated Convolutions that generates sequential data implemented in pytorch

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。

GANs Implementations in Keras

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

(beta-)VAE Tensorflow

A Repository with C++ implementations of Reinforcement Learning Algorithms (Pytorch)

Improved Wasserstein GAN (WGAN-GP) application on medical (MRI) images

DCGAN LSGAN WGAN-GP DRAGAN Tensorflow 2

Applied several Generative Adversarial Networks (GAN) techniques such as: DCGAN, WGAN and StyleGAN to generate Anime Faces and Handwritten Digits.

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).

There are C language computer programs about the simulator, transformation, and test statistic of continuous Bernoulli distribution. More than that, the book contains continuous Binomial distribution and continuous Trinomial distribution.

Dataset to assess the disentanglement properties of unsupervised learning methods

Pytorch implementation of BERT4Rec and Netflix VAE.

PyTorch implementation of "Auto-Encoding Variational Bayes"

Tensorflow Implementation of Paper "Improved Training of Wasserstein GANs"

Recurrent Variational Autoencoder that generates sequential data implemented with pytorch

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

PyTorch Implementation of VAENAR-TTS: Variational Auto-Encoder based Non-AutoRegressive Text-to-Speech Synthesis.

Pytorch implementation of β-VAE

PyTorch implementation of VQ-VAE-2 from "Generating Diverse High-Fidelity Images with VQ-VAE-2"

Paper collection of Neural Text Generation

Advanced Deep Learning with Keras, published by Packt

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