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Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"

Tf Vaegan ⭐ 81

VAE-GAN in Tensorflow

Brats2018_nvnet ⭐ 80

Implementation of NvNet

Parallel Tacotron2 ⭐ 80

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

Attend_infer_repeat ⭐ 77

A Tensorfflow implementation of Attend, Infer, Repeat

Vae For Image Generation ⭐ 75

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

Grass_pytorch ⭐ 75

PyTorch Implementation of GRASS

Using RGB Image as Visual Input for Mapless Robot Navigation

Keras_generative_pg ⭐ 73

A Deep Generative Framework for Paraphrase Generation Implementaion

Craystack ⭐ 73

Compression tools for machine learning researchers

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

PyTorch code for ICPR 2020 paper "DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting"

Learning To Drive In A Day ⭐ 72

Implementation of reinforcement learning approach to make a car learn to drive

Chainer Vq Vae ⭐ 72

A Chainer implementation of VQ-VAE.

Official implementation of ACCV 2020 paper "3D Human Motion Estimation via Motion Compression and Refinement" (Identical repo to https://github.com/KlabCMU/MEVA, will be kept in sync)

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

Vae_vpflows ⭐ 71

Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling

Contiguous Succotash ⭐ 70

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

Code for the "Discriminative Regularization for Generative Models" paper.

Official PyTorch implementation of GENESIS and GENESIS-V2

Gumbel_softmax_vae ⭐ 67

PyTorch implementation of a Variational Autoencoder with Gumbel-Softmax Distribution

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

Resnetvae ⭐ 66

Variational AutoEncoder + ResNet Transfer Learning

Tensorflow Mnist Aae ⭐ 65

Tensorflow implementation of adversarial auto-encoder for MNIST

Vae_tensorflow ⭐ 64

Variational autoencoder in Tensorflow

D-VAE: A Variational Autoencoder for Directed Acyclic Graphs, NeurIPS 2019

Unsuperviseddeeplearning Pytorch ⭐ 63

This repository tries to provide unsupervised deep learning models with Pytorch

Retro Contest Sonic ⭐ 62

World Models applied to the Open AI Sonic Retro Contest

Copycat Abstractive Opinion Summarizer ⭐ 62

ACL 2020 Unsupervised Opinion Summarization as Copycat-Review Generation

Hyperion ⭐ 61

Python toolkit for speech processing

Vae Gumbel Softmax ⭐ 60

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

Generative modeling of synthetic time series data and time series augmentations

Linear_graph_autoencoders ⭐ 60

Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R. Hennequin, M. Vazirgiannis) + k-core framework implementation from IJCAI 2019 article "A Degeneracy Framework for Scalable Graph Autoencoders" (G. Salha, R. Hennequin, V.A. Tran, M. Vazirgiannis)

A deep generative model library in Theano and Lasagne

Official implementation of the paper Stochastic Latent Residual Video Prediction

Vq Vae 2 ⭐ 58

A PyTorch implementation of the VQ-VAE-2 paper

Pytorch implementation of stochastically quantized variational autoencoder (SQ-VAE)

code for Syntax-Directed Variational Autoencoder that generates programs and molecues

Tf Var Attention ⭐ 55

Tensorflow Implementation of Variational Attention for Sequence to Sequence Models (COLING 2018)

Music Sketchnet ⭐ 55

ISMIR 2020 Paper repo: Music SketchNet: Controllable Music Generation via Factorized Representations of Pitch and Rhythm

A generative modelling toolkit for PyTorch.

Variational Autoencoder Theano ⭐ 53

Variational Autoencoders (VAEs) in Theano for Images and Text

Vae_householder_flow ⭐ 53

Code for the paper "Improving Variational Auto-Encoders using Householder Flow" (https://arxiv.org/abs/1611.09630)

Vae Cf Pytorch ⭐ 53

Variational Autoencoders for Collaborative Filtering - Implementation in PyTorch

Vae_tacotron2 ⭐ 51

VAE Tacotron 2, an alternative of GST Tacotron

[CVPR'21] SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data, in PyTorch

moai is a PyTorch-based AI Model Development Kit (MDK) created to improve data-driven model workflows, design and reproducibility.

Vae Concrete ⭐ 46

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

Vae_protein_function ⭐ 44

Protein function prediction using a variational autoencoder

Zerospeech ⭐ 44

VQ-VAE for Acoustic Unit Discovery and Voice Conversion

Scipy2015 ⭐ 44

Talk for SciPy2015 "Deep Learning: Tips From The Road"

Code for Variational Laplace Autoencoders

Introvae ⭐ 42

A pytorch implementation of Paper "IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis"

PyTorch implementation of IRMAE https//arxiv.org/abs/2010.00679

Generativemloncloud ⭐ 42

Vq Vae Wavenet ⭐ 42

TensorFlow implementation of VQ-VAE with WaveNet decoder, based on https://arxiv.org/abs/1711.00937 and https://arxiv.org/abs/1901.08810

Gravity_graph_autoencoders ⭐ 41

Source code from the CIKM 2019 article "Gravity-Inspired Graph Autoencoders for Directed Link Prediction" by G. Salha, S. Limnios, R. Hennequin, V.A. Tran and M. Vazirgiannis

Disentangled Variational Auto-Encoder in TensorFlow / Keras (Beta-VAE)

Invariant representation learning from imaging and spectral data

Wae Rnf Lm ⭐ 40

Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" https://arxiv.org/abs/1904.02399

Hyperbolicnf ⭐ 40

ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows

A Tensorflow Implementation of VQ-VAE Speaker Conversion

Inpaintnet ⭐ 39

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

Vae_gumble_softmax ⭐ 38

pytorch implementation of VAE-Gumble-Softmax

Vae Gan Celeba ⭐ 38

Code and notebooks related to the paper: "Reconstructing Faces from fMRI Patterns using Deep Generative Neural Networks" by VanRullen & Reddy, 2019

Precision Recall Distributions ⭐ 38

Assessing Generative Models via Precision and Recall (official repository)

Variational Auto-encoder with Non-parametric Bayesian Prior

Vae Tensorflow ⭐ 37

(beta-)VAE Tensorflow

Code for paper EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE

Concept Based Xai ⭐ 37

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

Pytorch Gans ⭐ 36

Various GANs in pytorch environment

SLAMP: Stochastic Latent Appearance and Motion Prediction

Midi Vae ⭐ 36

Cdvae Vc ⭐ 36

TensorFlow Implementation of CDVAE-VC.

Language Models ⭐ 36

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

Minimal_vae ⭐ 36

A minimal implementation of an Variational Auto-Encoder

Wae Pytorch ⭐ 36

Cppn Gan Vae Cifar Tensorflow ⭐ 35

First attempt to use the previous CPPN-GAN-VAE model to train on CIFAR-10 images.

Vae Pretraining Encoder ⭐ 35

PyTorch implementation of A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text (EMNLP 2019)

Vae_tacotron ⭐ 35

Vmp For Svae ⭐ 34

Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)

Python Sdk ⭐ 34

Python SDK for Stable Diffusion API (Txt2Img/Img2Img/ControlNet/VAE)

Playing_with_vae ⭐ 34

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

Mixed-curvature Variational Autoencoders (ICLR 2020)

Bert4rec Vae Pytorch ⭐ 33

Pytorch implementation of BERT4Rec and Netflix VAE.

E2c Pytorch ⭐ 33

E2C implementation in PyTorch

Deepmusicvstyle ⭐ 33

Code repo for ICME 2020 paper "Style-Conditioned Music Generation". VAE model that allows style-conditioned music generation.

Sigma Vae Pytorch ⭐ 33

A σ-VAE implementation in PyTorch

Spectral Stein Grad ⭐ 33

Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)

Gaussian Process Prior Variational Autoencoder

codes for Variational Autoencoder for Semi-supervised Text Classification

Vae Audio ⭐ 32

Variational auto-encoders for audio

Deepssm_sysid ⭐ 32

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

Numpy Nn Model ⭐ 32

Сustom torch style machine learning framework with automatic differentiation implemented on numpy, allows build GANs, VAEs, etc.

Ladder Latent Data Distribution Modelling ⭐ 31

In this paper, we show that the performance of a learnt generative model is closely related to the model's ability to accurately represent the inferred \textbf{latent data distribution}, i.e. its topology and structural properties. We propose LaDDer to achieve accurate modelling of the latent data distribution in a variational autoencoder framework and to facilitate better representation learning. The central idea of LaDDer is a meta-embedding concept, which uses multiple VAE models to learn an

Eccv18_mtvae ⭐ 31

Tensorflow Implementation of ECCV'18 paper: Multimodal Human Motion Synthesis

Keras Generating Sentences From A Continuous Space ⭐ 31

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

Pytorch Rl Cpp ⭐ 31

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

Ladder Vae Pytorch ⭐ 31

Ladder Variational Autoencoders (LVAE) in PyTorch

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