245 Open source projects that are alternatives of or similar to Sentence Vae

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

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

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

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

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.

Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR10 datasets

Variational Autoencoder trained by Feature Perceputal Loss

Protein function prediction using a variational autoencoder

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

Collection of generative models in Tensorflow

Code accompanying ISMIR'19 paper titled "Learning to Traverse Latent Spaces for Musical Score Inpaintning"

A Tensorfflow implementation of Attend, Infer, Repeat

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

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

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

Code for our paper -- Hyperprior Induced Unsupervised Disentanglement of Latent Representations (AAAI 2019)

Pytorch implementation of β-VAE

Ladder Variational Autoencoders (LVAE) in PyTorch

Behind the Curtain: Learning Occluded Shapes for 3D Object Detection

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

Tensorflow Implementation of Knowledge-Guided CVAE for dialog generation ACL 2017. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU

Official implementation of Dynamical VAEs

TriangleGAN, ACM MM 2019.

[CVPR2020] Adversarial Latent Autoencoders

PixelVAE with or without regularization

unsupervised video and image generation

Recurrent Variational Autoencoder that generates sequential data implemented with pytorch

This is project page for the paper "RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior". Paper link: https://arxiv.org/abs/2010.00029

Vector Quantized VAEs - PyTorch Implementation

Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019

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

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

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

The idea of this list is to collect shared data and algorithms around 3D Morphable Models. You are invited to contribute to this list by adding a pull request. The original list arised from the Dagstuhl seminar on 3D Morphable Models https://www.dagstuhl.de/19102 in March 2019.

Pytorch implementation of Hyperspherical Variational Auto-Encoders

GraphNVP: An Invertible Flow Model for Generating Molecular Graphs

Hierarchical fast and high-fidelity audio generation

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

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

Implementation of Sequential Attend, Infer, Repeat (SQAIR)

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

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

Variational Autoencoders (VAEs) in Theano for Images and Text

Easy-to-follow Pytorch tutorial Notebook for Multi-Agent-Diverse-Generative-Adversarial-Networks

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

🤖🖌️ Generate photo-realistic textures based on source images. Remix, remake, mashup! Useful if you want to create variations on a theme or elaborate on an existing texture.

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

Variational autoencoder for anomaly detection (in PyTorch).

No description or website provided.

A denoising diffusion probabilistic model (DDPM) tailored for conditional generation of protein distograms

Public release of data and code for materials synthesis generation

CSGNet for voxel based input

Experiments for understanding disentanglement in VAE latent representations

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

ACL 2020 Unsupervised Opinion Summarization as Copycat-Review Generation

"GAN 인 액션"(한빛미디어, 2020)의 코드 저장소입니다.

Guided Conditional Wasserstein GAN for De Novo Protein Design

Face generator from sketches using cGAN (pix2pix) model

GrabNet: A Generative model to generate realistic 3D hands grasping unseen objects (ECCV2020)