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Search results for deep learning vae
deep-learning
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vae
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100 search results found
Pytorch Vae
⭐
5,292
A Collection of Variational Autoencoders (VAE) in PyTorch.
Zhusuan
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2,139
A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
Vector Quantize Pytorch
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1,627
Vector Quantization, in Pytorch
Advanced Deep Learning With Keras
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1,534
Advanced Deep Learning with Keras, published by Packt
Variational Autoencoder
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1,114
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
Variational Autoencoder
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1,049
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
Awesome Diffusion Models In Medical Imaging
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923
Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)
Pytorch Vqvae
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679
Vector Quantized VAEs - PyTorch Implementation
Disentangling Vae
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668
Experiments for understanding disentanglement in VAE latent representations
Tensorflow Vae Gan Draw
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569
A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).
Sentence Vae
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569
PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349
Vae Cvae Mnist
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508
Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch
Pixyz
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473
A library for developing deep generative models in a more concise, intuitive and extendable way
Awesome Vaes
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448
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
Pytorch Rl
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356
This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
Pycadl
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355
Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"
Pytorch_rvae
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355
Recurrent Variational Autoencoder that generates sequential data implemented with pytorch
Awesome Deep Vision Web Demo
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285
A curated list of awesome deep vision web demo
Vq Vae
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238
Minimalist implementation of VQ-VAE in Pytorch
Pytorch_cpp
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215
Deep Learning sample programs using PyTorch in C++
S Vae Pytorch
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214
Pytorch implementation of Hyperspherical Variational Auto-Encoders
S Vae Tf
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178
Tensorflow implementation of Hyperspherical Variational Auto-Encoders
Generative And Discriminative Voxel Modeling
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170
Voxel-Based Variational Autoencoders, VAE GUI, and Convnets for Classification
Atomai
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164
Deep and Machine Learning for Microscopy
Vde
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161
Variational Autoencoder for Dimensionality Reduction of Time-Series
Vae_vampprior
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151
Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling
Sylvester Flows
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126
Vae Tensorflow
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115
A Tensorflow implementation of a Variational Autoencoder for the deep learning course at the University of Southern California (USC).
Normalizing Flows
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108
Understanding normalizing flows
Tybalt
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107
Training and evaluating a variational autoencoder for pan-cancer gene expression data
Srl Zoo
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98
State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox
Pixyzoo
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97
Implementation codes of deep generative models with Pixyz
Generative Models
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92
Comparison of Generative Models in Tensorflow
Lvae
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84
Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"
Keras_generative_pg
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73
A Deep Generative Framework for Paraphrase Generation Implementaion
Vae Pokedex
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72
The companion code for How to Autoencode your Pokemon
Dlow
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71
[ECCV 2020] Official PyTorch Implementation of "DLow: Diversifying Latent Flows for Diverse Human Motion Prediction". ECCV 2020.
Nvae
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67
An unofficial toy implementation for NVAE 《A Deep Hierarchical Variational Autoencoder》
Unsuperviseddeeplearning Pytorch
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63
This repository tries to provide unsupervised deep learning models with Pytorch
Copycat Abstractive Opinion Summarizer
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62
ACL 2020 Unsupervised Opinion Summarization as Copycat-Review Generation
Retro Contest Sonic
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62
World Models applied to the Open AI Sonic Retro Contest
Deeptcr
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62
Deep Learning Methods for Parsing T-Cell Receptor Sequencing (TCRSeq) Data
Vae Gumbel Softmax
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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.
Tsgm
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60
Generative modeling of synthetic time series data and time series augmentations
Tars
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59
A deep generative model library in Theano and Lasagne
Srvp
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58
Official implementation of the paper Stochastic Latent Residual Video Prediction
Music Sketchnet
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55
ISMIR 2020 Paper repo: Music SketchNet: Controllable Music Generation via Factorized Representations of Pitch and Rhythm
Vae_householder_flow
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53
Code for the paper "Improving Variational Auto-Encoders using Householder Flow" (https://arxiv.org/abs/1611.09630)
Deep Paraphrase
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51
Moai
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47
moai is a PyTorch-based AI Model Development Kit (MDK) created to improve data-driven model workflows, design and reproducibility.
Scipy2015
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44
Talk for SciPy2015 "Deep Learning: Tips From The Road"
Midi Vae
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36
Slamp
⭐
36
SLAMP: Stochastic Latent Appearance and Motion Prediction
Vae Pretraining Encoder
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35
PyTorch implementation of A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text (EMNLP 2019)
Mvae
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33
Mixed-curvature Variational Autoencoders (ICLR 2020)
Deepmusicvstyle
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33
Code repo for ICME 2020 paper "Style-Conditioned Music Generation". VAE model that allows style-conditioned music generation.
Numpy Nn Model
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32
Сustom torch style machine learning framework with automatic differentiation implemented on numpy, allows build GANs, VAEs, etc.
Pytorch Rl Cpp
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31
A Repository with C++ implementations of Reinforcement Learning Algorithms (Pytorch)
Keras Generating Sentences From A Continuous Space
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31
Text Variational Autoencoder inspired by the paper 'Generating Sentences from a Continuous Space' Bowman et al. https://arxiv.org/abs/1511.06349
Vae Style Transfer
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30
An experiment in VAE-based artistic style transfer by embedding fiddling.
Vq Vae
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30
Pytorch Implementation of "Neural Discrete Representation Learning"
Vae Anomaly Detector
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29
Experiments on unsupervised anomaly detection using variational autoencoder. The variational autoencoder is implemented in Pytorch.
Chainer Vae
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28
DEPRECATED!!! the same as official VAE example, but using Trainer in this repo
Generative_models
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27
Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE
Tensorflow_deep_learning_models
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23
TensorFlow implementations of several deep learning models (e.g. variational autoencoder, RNN, ...)
Vq Vae_keras_implementation
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22
Keras Implementation of Vector Quantizer Variational AutoEncoder (VQ-VAE)
Disent And Gen
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20
Code for the article: The Role of Disentanglement in Generalisation (ICLR, 2021).
Tensormonk
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20
A collection of deep learning models (PyTorch implemtation)
Icsg3d
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20
3-D Inorganic Crystal Structure Generation and Property Prediction via Representation Learning (JCIM 2020)
Deep Learning.jl
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18
Introduction to deep learning using Flux.jl
Continuous_bernoulli
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18
A program of simulator and test statistic for continuous Bernoulli distribution. More than that, it contains two Continuous Bernoulli populations and continuous Trinomial distribution for variational autoencoder model in deep learning.
Haskell Vae
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17
Learning about Haskell with Variational Autoencoders
Pytorch Tutorials
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17
🤖 | Learning PyTorch through official examples
Deepgtt
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17
DeepGTT: Learning Travel Time Distributions with Deep Generative Model
Simple Implementation Of Ml Algorithms
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17
My simplest implementations of common ML algorithms
Ngdlm
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17
Next Generation Deep Learning Models
Generative_deep_learning_2nd_edition
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16
<만들면서 배우는 생성 AI 2판>의 코드 저장소
Stable Diffusion Chinese Extend
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16
A fine tune version of Stable Diffusion model on self-translate 10k diffusiondb Chinese Corpus and "extend" it
Pytorch_models
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15
PyTorch study
Generative_deep_learning
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15
Generative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)
Lego Face Vae
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14
Variational autoencoder for Lego minifig faces
Mxnetsharp
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14
MXNet bindings for .NET/F#
Stable Diffusion Pokemon
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14
A demo of fine tune Stable Diffusion on Pokemon-Blip-Captions in English, Japanese and Chinese Corpus
Dirichlet Vae
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14
Dirichlet-Variational Auto-Encoder by PyTorch
Pytorch Mnist Vae
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14
Gee
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14
Pytorch implementation of GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection
Stretchbev
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13
Official implementation of our ECCV paper "StretchBEV: Stretching Future Instance Prediction Spatially and Temporally"
Deep Feature Consistent Variational Autoencoder In Tensorflow
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13
implement Deep Feature Consisten Variational Autoencoder in Tensorflow
Nmpevqvae
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13
Neuromorphologicaly Preserving Volumetric Data Encoding Using VQ-VAE
Deep Learning Projects
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13
Best Deep Learning Projects for Advanced Learners
Font Vae
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12
Analysis of font shape using Variational Autoencoder with Convnets
Vae
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12
Example of vanilla VAE for face image generation at resolution 128x128 using pytorch.
Dlmodels
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11
Personal experiments and implementation examples of deep learning papers.
Paccmann_chemistry
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11
Generative models of chemical data for PaccMann^RL
Projects
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10
This is the repository containing machine learning and deep learning projects, as well as some presentation slides on these topics.
Pytlib
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10
A pytorch framework for building neurals networks for visual recognition, encoding, and detection tasks. The goal is to bridge the gap between research and production code, making AI/CV research code re-usable and reproducible
Network_anomaly_detection_deep_learning
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9
This project has been conducted under the supervision of Dr. Jinoh Kim and Dr. Donghwoon Kwon at Texas A&M University-Commerce. The research outcome are published in the proceeding of IEEE ICNC 2018 (http://www.conf-icnc.org/2018/), with the title of “An Empirical Evaluation of Deep Learning for Network Anomaly Detection”.
Ovis
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9
Official code for the "Optimal Variance Control of the Score Function Gradient Estimator for Importance Weighted Bounds"
Imputation Dgm
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9
Code for the paper "Improving Missing Data Imputation with Deep Generative Models"
Aiqn Vae
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9
VAE + Quantile Networks for MNIST
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