174 Open source projects that are alternatives of or similar to S Vae Pytorch

A Tensorflow implementation of a Variational Autoencoder for the deep learning course at the University of Southern California (USC).

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

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

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

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

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

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

Tensorflow implementation of Hyperspherical Variational Auto-Encoders

A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch

Keras implementation of a Variational Auto Encoder with a Concrete Latent Distribution

Stochastic Adversarial Video Prediction

Protein function prediction using a variational autoencoder

Tensorflow implementation of variational auto-encoder for MNIST

PyTorch implementation of "Auto-Encoding Variational Bayes"

No description or website provided.

Experiments for understanding disentanglement in VAE latent representations

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.

Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.

Code for "MojiTalk: Generating Emotional Responses at Scale" https://arxiv.org/abs/1711.04090

Invariant representation learning from imaging and spectral data

Tensorflow implementation of conditional variational auto-encoder for MNIST

[CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Variational Autoencoders"

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)

Implementation of a convolutional Variational-Autoencoder model in pytorch.

Collection of generative models in Tensorflow

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

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

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

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

Assessing Generative Models via Precision and Recall (official repository)

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

Implementation of 'Self-Adversarial Variational Autoencoder with Gaussian Anomaly Prior Distribution for Anomaly Detection'

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

Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits

A collection of deep learning models (PyTorch implemtation)

Timbre transfer with variational autoencoding and cycle-consistent adversarial networks. Able to transfer the timbre of an audio source to that of another.

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

Implementation of "Disentangled Representation Learning for Non-Parallel Text Style Transfer(ACL 2019)" in Pytorch

Experiments with Adversarial Autoencoders using Keras

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

CVAE_XGate model in paper "Xu, Dusek, Konstas, Rieser. Better Conversations by Modeling, Filtering, and Optimizing for Coherence and Diversity"

ACL 2020 Unsupervised Opinion Summarization as Copycat-Review Generation

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

Implementation of Sequential Attend, Infer, Repeat (SQAIR)

Pytorch implementation of BERT4Rec and Netflix VAE.

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.

We got a stew going!

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

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

Variational autoencoder, denoising autoencoder and other variations of autoencoders implementation in keras

Learning about Haskell with Variational Autoencoders

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

Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST

AE and VAE Playground in PyTorch

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

An Introduction to Deep Generative Modeling: Examples

CALC2.0: Combining Appearance, Semantic and Geometric Information for Robust and Efficient Visual Loop Closure