114 Open source projects that are alternatives of or similar to Pytorch Vqvae

PyTorch study

DeepGTT: Learning Travel Time Distributions with Deep Generative Model

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.

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

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

Tensorflow implementation of adversarial auto-encoder for MNIST

ACL 2020 Unsupervised Opinion Summarization as Copycat-Review Generation

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

Pytorch implementation of BERT4Rec and Netflix VAE.

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

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

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

Invariant representation learning from imaging and spectral data

Pytorch implementation of Hyperspherical Variational Auto-Encoders

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

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Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI

Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations

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

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.

Playing with MNIST. Machine Learning. Generative Models.

🧶 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

Stochastic Adversarial Video Prediction

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

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

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

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

Repository for implementation of generative models with Tensorflow 1.x

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

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

Dataset to assess the disentanglement properties of unsupervised learning methods

dcgan combined with vae in pytorch!

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

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

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

Implementation of a convolutional Variational-Autoencoder model in pytorch.

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

Assessing Generative Models via Precision and Recall (official repository)

Collection of generative models in Tensorflow

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

A collection of deep learning models (PyTorch implemtation)

EfficientMORL (ICML'21)

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

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

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

Keras implementations of three language models: character-level RNN, word-level RNN and Sentence VAE (Bowman, Vilnis et al 2016).

Recurrent Variational Autoencoder that generates sequential data implemented with pytorch

Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.

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.

VPoser: Variational Human Pose Prior

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

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

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

Pytorch implementation of β-VAE

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

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