114 Open source projects that are alternatives of or similar to Vae Tensorflow

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

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

Recurrent Variational Autoencoder that generates sequential data implemented with pytorch

Implementation of Sequential Attend, Infer, Repeat (SQAIR)

Implementation of Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space

Collection of generative models in Tensorflow

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

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

Repository for implementation of generative models with Tensorflow 1.x

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

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

IPCCC 2018: Robust and Unsupervised KPI Anomaly Detection Based on Conditional Variational Autoencoder

Vector Quantized VAEs - PyTorch Implementation

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

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).

A collection of deep learning models (PyTorch implemtation)

Dataset to assess the disentanglement properties of unsupervised learning methods

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.

Advanced Deep Learning with Keras, published by Packt

여러가지 유명한 신경망 모델들을 제공합니다. (DCGAN, VAE, Resnet 등등)

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

Text Variational Autoencoder inspired by the paper 'Generating Sentences from a Continuous Space' Bowman et al. https://arxiv.org/abs/1511.06349

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

dcgan combined with vae in pytorch!

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

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

Tensorflow implementation of adversarial auto-encoder for MNIST

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。

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

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

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

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

Variational Autoencoders (VAEs) in Theano for Images and Text

PyTorch implementation of "Auto-Encoding Variational Bayes"

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"

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.

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

Pytorch implementation of BERT4Rec and Netflix VAE.

Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations

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

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

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

Pytorch implementation of β-VAE

An unofficial toy implementation for NVAE 《A Deep Hierarchical Variational Autoencoder》

Tensorflow implementation of variational auto-encoder for MNIST

Tensorflow Implementation of Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation (NAACL 2019).

Pytorch implementation of Hyperspherical Variational Auto-Encoders

Invariant representation learning from imaging and spectral data

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

PyTorch study

ACL 2020 Unsupervised Opinion Summarization as Copycat-Review Generation

Implementation of the paper - Automatic chemical design using a data-driven continuous representation of molecules

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

🧶 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

Voice conversion (VC) investigation using three variants of VAE

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

Experiments for understanding disentanglement in VAE latent representations

Ladder Variational Autoencoders (LVAE) in PyTorch