253 Open source projects that are alternatives of or similar to DiffuseVAE

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

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

No description or website provided.

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

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

Protein function prediction using a variational autoencoder

PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

Variational Autoencoder trained by Feature Perceputal Loss

Collection of generative models in Tensorflow

A Tensorfflow implementation of Attend, Infer, Repeat

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.

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

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

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

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

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

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

Latent Variable Models in R https://kkholst.github.io/lava/

Public release of data and code for materials synthesis generation

Pytorch implementation of BERT4Rec and Netflix VAE.

Variants of Vision Transformer and its downstream tasks

TriangleGAN, ACM MM 2019.

"GAN 인 액션"(한빛미디어, 2020)의 코드 저장소입니다.

A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"

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

Official repository for the ShapeFormer Project

Multimodal Image Synthesis and Editing: A Survey

Listing my favorite research papers 📝 from different fields as I read them.

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 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.

CSGNet for voxel based input

Guided Conditional Wasserstein GAN for De Novo Protein Design

PyTorch implementation of ACL paper https://arxiv.org/abs/1906.02656

Tensorflow implementation of Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions (CVPR 2019)

Latent Differential Equations models in Julia.

Graph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds via Graph Convolution

GraphNVP: An Invertible Flow Model for Generating Molecular Graphs

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

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

Official implementation of Dynamical VAEs

Generator loss to reduce mode-collapse and to improve the generated samples quality.

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

Variational Autoencoders (VAEs) in Theano for Images and Text

Python script to load a Kdenlive (OSS NLE video editor) project file, and conform the edit on video or numpy arrays.

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

AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics

A collection of deep learning models (PyTorch implemtation)

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

Tensorflow-based framework to ease training of generative models

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

Pytorch implementation of CycleGAN.

Repository for implementation of generative models with Tensorflow 1.x

My pytorch implementation for GAN

A convenient MIDI / symbolic music tokenizer for Deep Learning networks, with multiple strategies 🎶

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

Pytorch Implementation of our ACL 2020 Paper "Reasoning with Latent Structure Refinement for Document-Level Relation Extraction"

PixelVAE with or without regularization

Variational autoencoder for anomaly detection (in PyTorch).

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.