Top 115 vae open source projects

Collection of generative models in Tensorflow

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

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python deep-learning tensorflow tutorial neural-network gan word2vec course vae dcgan cyclegan mooc glove wavenet celeba

Dsprites Dataset

Dataset to assess the disentanglement properties of unsupervised learning methods

✭ 340

jupyter-notebook dataset vae

Neural Ode

Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations

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jupyter-notebook pytorch vae

Pytorch rvae

Recurrent Variational Autoencoder that generates sequential data implemented with pytorch

✭ 332

python deep-learning pytorch nlp vae

Beta Vae

Pytorch implementation of β-VAE

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python unsupervised-learning vae celeba

Daisyrec

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

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python pytorch recommender-system vae collaborative-filtering matrix-factorization slim factorization-machines

S Vae Pytorch

Pytorch implementation of Hyperspherical Variational Auto-Encoders

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python deep-learning machine-learning pytorch vae variational-autoencoder

classifying-vae-lstm

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

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python neural-network keras lstm vae music-generation variational-autoencoder

Copycat-abstractive-opinion-summarizer

ACL 2020 Unsupervised Opinion Summarization as Copycat-Review Generation

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python data-science machine-learning natural-language-processing deep-learning algorithms amazon reviews yelp vae summarization natural-language-generation abstractive-text-summarization abstractive-summarization opinion-summarization

srVAE

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

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python pytorch generative-model vae representation-learning unsupervised-learning super-resolution cifar10 variational-autoencoder unsupervised-machine-learning cifar-10 vae-pytorch

disent

🧶 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

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python metrics pytorch vae metric-learning datasets representation-learning configurable autoencoders disentanglement disentangled-representations pytorch-lightning

ladder-vae-pytorch

Ladder Variational Autoencoders (LVAE) in PyTorch

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python pytorch vae representation-learning unsupervised-learning variational-inference generative-models variational-autoencoders ladder-vae ladder-variational-autoencoders

DiffuseVAE

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

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python shell generative-model vae latent-variable-models diffusion-models ddpm controllable-generation

learning-to-drive-in-5-minutes

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

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python simulator reinforcement-learning unity openai gym vae self-driving-car rl sac srl donkey-car state-representation-learning stable-baselines soft-actor-critic

contiguous-succotash

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

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python machine-learning pytorch vae convolutional-neural-networks

sqair

Implementation of Sequential Attend, Infer, Repeat (SQAIR)

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Jupyter Notebook python shell tracking detection motion vae generative variational-inference approximate-inference representations-learning sqair vimco iwae

VAE-Gumbel-Softmax

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

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python tensorflow mnist vae deeplearning variational-autoencoder gumbel-softmax

generative deep learning

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

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Jupyter Notebook generative-model vae gans generative-adversarial-networks wgan wgan-gp stylegan

variational-autoencoder-theano

Variational Autoencoders (VAEs) in Theano for Images and Text

✭ 54

python vae

Parallel-Tacotron2

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

✭ 149

python text-to-speech duration pytorch tts speech-synthesis english vae self-attention neural-tts non-autoregressive fastspeech parallel-tacotron parallel-tacotron2

char-VAE

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.

✭ 18

Jupyter Notebook python tensorflow generative-model rnn vae tensorflow-experiments rnn-tensorflow tensorflow-models rnn-encoder-decoder vrae

TensorMONK

A collection of deep learning models (PyTorch implemtation)

continuous Bernoulli

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.

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C++deep-neural-networks simulator deep-learning statistical-analysis vae deeplearning autoencoders test-statistic variational-autoencoder variational-autoencoders deeplearning-ai vae-implementation continuous-bernoulli point-estimator

style-vae

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

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python tensorflow gan generative-model vae perceptual-losses celeba style-gan

BERT4Rec-VAE-Pytorch

Pytorch implementation of BERT4Rec and Netflix VAE.

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python pytorch ae recommendation-system vae dae bert4rec

Carla-ppo

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.

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python deep-reinforcement-learning vae autonomous-driving ppo-agent agent-learning agent-driving

Pytorch-RL-CPP

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

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C++CMake machine-learning google deep-neural-networks reinforcement-learning deep-learning robotics tensorflow keras openai-gym pytorch gan openai gym vae reinforcement-learning-algorithms atari deepmind mujoco

VAENAR-TTS

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

✭ 66

python text-to-speech duration pytorch tts speech-synthesis vae unsupervised-learning glow self-attention neural-tts non-autoregressive transforer non-ar unsupervised-duration

vqvae-2

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

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python pytorch generative-model vae vq-vae vq-vae-2

Advanced Models

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

✭ 48

python pytorch gan dcgan vae resnet-50 cgan sagan multihead-attention gpt-2

nvae

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

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python tiny vae pytorch-implementation nvae

Generative-Model

Repository for implementation of generative models with Tensorflow 1.x

✭ 66

Jupyter Notebook gan infogan dcgan vae beta-vae wgan lsgan cyclegan cgan wgan-gp generative-models pggan stargan vq-vae stylegan singan hologan aggan raindrop-removal

probabilistic nlg

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

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python tensorflow text dialog stochastic autoencoder vae sentence generation seq2seq reconstruction wasserstein wae

Keras-Generating-Sentences-from-a-Continuous-Space

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

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python nlp deep-learning keras text-generation vae deeplearning variational-autoencoder keras-implementations

pyroVED

Invariant representation learning from imaging and spectral data

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python semi-supervised-learning vae spectral-data pyro scale-invariance variational-autoencoder unsupervised-machine-learning encoder-decoder-model rotation-invariant translation-invariant semi-supervised-vae image-data

vae captioning

Implementation of Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space

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Jupyter Notebook python machine-learning tensorflow vae captioning-images

Pytorch models

PyTorch study

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Jupyter Notebook python nlp deep-learning pytorch generative-adversarial-network vae

dcgan vae pytorch

dcgan combined with vae in pytorch!

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python nn pytorch gan dcgan vae vae-gan

molecular-VAE

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

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python machine-learning cheminformatics pytorch vae chemoinformatics denovo

Bagel

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

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python code vae robust ieee anomaly-detection variational-autoencoder kpi-anomaly-detection

tensorflow-mnist-AAE

Tensorflow implementation of adversarial auto-encoder for MNIST

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python tensorflow gan mnist autoencoder vae manifold adversarial-networks manifold-learning adversarial-autoencoders aae

Variational-Autoencoder-pytorch

Implementation of a convolutional Variational-Autoencoder model in pytorch.

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python deep-learning pytorch vae variational-autoencoder

concept-based-xai

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

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python shell library weak-supervision vae concept concept-extraction weakly-supervised-learning interpretability disentanglement model-explanation explainable-ai disentangled-representations xai explainability concept-explanation

precision-recall-distributions

Assessing Generative Models via Precision and Recall (official repository)

✭ 80

python evaluation generative-adversarial-network gan vae adversarial-networks evaluation-metrics variational-autoencoder generative-models

deepgtt

DeepGTT: Learning Travel Time Distributions with Deep Generative Model

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Jupyter Notebook python julia vae deep-generative-models travel-time

vae-concrete

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

✭ 51

python keras vae concrete variational-autoencoder gumbel-softmax

InpaintNet

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

✭ 48

python machine-learning generative-model vae music-generation latent-space music-inpainting

EfficientMORL

EfficientMORL (ICML'21)

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python Jupyter Notebook shell vision vae deep-generative-model slot-based

benchmark VAE

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

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python benchmarking reproducible-research pytorch comparison vae pixel-cnn reproducibility beta-vae vae-gan normalizing-flows variational-autoencoder vq-vae wasserstein-autoencoder vae-implementation vae-pytorch

soft-intro-vae-pytorch

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

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Jupyter Notebook python pytorch vae image-generation density-estimation variational-autoencoder vae-pytorch cvpr2021 soft-introvae soft-intro-vae

Fun-with-MNIST

Playing with MNIST. Machine Learning. Generative Models.

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