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The Top 1,108 Vae Open Source Projects

Numpy Ml ⭐ 11,141
Machine learning, in numpy
total releases 3most recent commit 9 months ago
Generative Models ⭐ 6,010
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
most recent commit 4 years ago
Tensorflow Generative Model Collections ⭐ 3,570
Collection of generative models in Tensorflow
most recent commit 4 years ago
Deepnude An Image To Image Technology ⭐ 3,404
DeepNude's algorithm and general image generation theory and practice research, including pix2pix, CycleGAN, UGATIT, DCGAN, SinGAN, ALAE, mGANprior, StarGAN-v2 and VAE models (TensorFlow2 implementation). DeepNude的算法以及通用生成对抗网络（GAN,Generative Adversarial Network）图像生成的理论与实践研究。
most recent commit 2 years ago
Pytorch Vae ⭐ 3,058
A Collection of Variational Autoencoders (VAE) in PyTorch.
most recent commit 6 months ago
Zhusuan ⭐ 1,849
A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
most recent commit 3 years ago
Advanced Deep Learning With Keras ⭐ 1,314
Advanced Deep Learning with Keras, published by Packt
most recent commit 3 months ago
Variational Autoencoder ⭐ 905
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
most recent commit 10 months ago
Benchmark_vae ⭐ 886
Unifying Generative Autoencoder implementations in Python
total releases 5most recent commit 19 days ago
Tensorflow2 Generative Models ⭐ 833
Implementations of a number of generative models in Tensorflow 2. GAN, VAE, Seq2Seq, VAEGAN, GAIA, Spectrogram Inversion. Everything is self contained in a jupyter notebook for easy export to colab.
most recent commit 2 years ago
Vq Vae 2 Pytorch ⭐ 642
Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch
most recent commit 2 years ago
Tensorflow Vae Gan Draw ⭐ 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).
most recent commit 5 years ago
Semi Supervised Pytorch ⭐ 554
Implementations of various VAE-based semi-supervised and generative models in PyTorch
most recent commit 3 years ago
Sentence Vae ⭐ 506
PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349
most recent commit a year ago
Vector Quantize Pytorch ⭐ 496
Vector Quantization, in Pytorch
dependent packages 6total releases 33most recent commit a month agopypi vector-quantize-pytorch} Downloads
Moses ⭐ 493
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
most recent commit a year ago
Daisyrec ⭐ 465
This is the repository of our article published in RecSys 2020 "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison" and of several follow-up studies.
total releases 2most recent commit a month ago
Awesome Vaes ⭐ 448
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
most recent commit a year ago
Diffusion Models Papers Survey Taxonomy ⭐ 432
Diffusion model papers, survey, and taxonomy
most recent commit 8 days ago
Pixyz ⭐ 425
A library for developing deep generative models in a more concise, intuitive and extendable way
total releases 10most recent commit 9 months ago
Human_body_prior ⭐ 416
VPoser: Variational Human Pose Prior
dependent packages 1total releases 5most recent commit 5 months agopypi human-body-prior} Downloads
Generative Models ⭐ 414
Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
most recent commit 4 years ago
Disentangling Vae ⭐ 407
Experiments for understanding disentanglement in VAE latent representations
most recent commit a year ago
Tensorflow Multigpu Vae Gan ⭐ 399
A single jupyter notebook multi gpu VAE-GAN example with latent space algebra and receptive field visualizations.
most recent commit 3 years ago
Ffjord ⭐ 388
code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".
most recent commit 2 years ago
Joint Vae ⭐ 384
Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation 🌟
most recent commit 3 years ago
Tensorflow Mnist Vae ⭐ 379
Tensorflow implementation of variational auto-encoder for MNIST
most recent commit 5 years ago
Pytorch Rl ⭐ 356
This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
total releases 2most recent commit 3 years ago
Pycadl ⭐ 355
Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"
total releases 11most recent commit 3 years ago
Vae Cvae Mnist ⭐ 352
Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch
most recent commit 3 months ago
Autoencoding_beyond_pixels ⭐ 350
Generative image model with learned similarity measures
most recent commit 6 years ago
Vae_tutorial ⭐ 348
Caffe code to accompany my Tutorial on Variational Autoencoders
most recent commit 6 years ago
World Models ⭐ 347
Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch
most recent commit 3 years ago
Pytorch_rvae ⭐ 339
Recurrent Variational Autoencoder that generates sequential data implemented with pytorch
most recent commit 6 years ago
Cppn Gan Vae Tensorflow ⭐ 316
Train CPPNs as a Generative Model, using Generative Adversarial Networks and Variational Autoencoder techniques to produce high resolution images.
most recent commit 6 years ago
Pytorch Vqvae ⭐ 306
Vector Quantized VAEs - PyTorch Implementation
most recent commit 3 years ago
Icml18 Jtnn ⭐ 305
Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)
most recent commit a year ago
Chemical_vae ⭐ 303
Code for 10.1021/acscentsci.7b00572, now running on Keras 2.0 and Tensorflow
most recent commit a year ago
Dalle Mtf ⭐ 296
Open-AI's DALL-E for large scale training in mesh-tensorflow.
most recent commit a year ago
Dsprites Dataset ⭐ 296
Dataset to assess the disentanglement properties of unsupervised learning methods
most recent commit 5 years ago
Awesome Deep Vision Web Demo ⭐ 285
A curated list of awesome deep vision web demo
most recent commit 3 years ago
Beta Tcvae ⭐ 282
code for "Isolating Sources of Disentanglement in Variational Autoencoders".
most recent commit a month ago
Pytorch Generative ⭐ 269
Easy generative modeling in PyTorch.
most recent commit 3 days ago
Generative_models_tutorial_with_demo ⭐ 268
Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..
most recent commit 4 years ago
Beta Vae ⭐ 262
Pytorch implementation of β-VAE
most recent commit 4 years ago
Neural Ode ⭐ 259
Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations
most recent commit 3 years ago
Genmusic_demo_list ⭐ 246
a list of demo websites for automatic music generation research
most recent commit 7 days ago
Optimus ⭐ 243
Optimus: the first large-scale pre-trained VAE language model
most recent commit 8 months ago
Vq Vae ⭐ 238
Minimalist implementation of VQ-VAE in Pytorch
most recent commit a year ago
Variational Recurrent Autoencoder Tensorflow ⭐ 226
A tensorflow implementation of "Generating Sentences from a Continuous Space"
most recent commit 2 years ago
S Vae Pytorch ⭐ 214
Pytorch implementation of Hyperspherical Variational Auto-Encoders
most recent commit 3 years ago
Portaspeech ⭐ 211
PyTorch Implementation of PortaSpeech: Portable and High-Quality Generative Text-to-Speech
most recent commit 7 months ago
Learning To Drive In 5 Minutes ⭐ 210
Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes
most recent commit 2 years ago
Cada Vae Pytorch ⭐ 208
Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)
most recent commit 2 years ago
Tf Vqvae ⭐ 205
Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).
most recent commit 4 years ago
Video_prediction ⭐ 199
Stochastic Adversarial Video Prediction
most recent commit 3 years ago
Cross Lingual Voice Cloning ⭐ 194
Tacotron 2 - PyTorch implementation with faster-than-realtime inference modified to enable cross lingual voice cloning.
most recent commit 8 months ago
Vae Clustering ⭐ 191
Unsupervised clustering with (Gaussian mixture) VAEs
most recent commit 6 years ago
Iwae ⭐ 188
Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT
most recent commit 7 years ago
Pytorch_cpp ⭐ 188
Deep Learning sample programs using PyTorch in C++
most recent commit 14 days ago
Elliot ⭐ 186
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
most recent commit 6 months ago
Neuraldialog Laed ⭐ 183
PyTorch implementation for Interpretable Dialog Generation ACL 2018, It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU
most recent commit 4 years ago
Disentanglement Pytorch ⭐ 182
Disentanglement library for PyTorch
most recent commit a year ago
Disentangled_vae ⭐ 179
Replicating "Understanding disentangling in β-VAE"
most recent commit 4 years ago
S Vae Tf ⭐ 178
Tensorflow implementation of Hyperspherical Variational Auto-Encoders
most recent commit 4 years ago
Adversarial_video_summary ⭐ 171
A PyTorch Implementation of SUM-GAN from "Unsupervised Video Summarization with Adversarial LSTM Networks" (CVPR 2017)
most recent commit 5 years ago
Generative And Discriminative Voxel Modeling ⭐ 170
Voxel-Based Variational Autoencoders, VAE GUI, and Convnets for Classification
most recent commit 6 years ago
Vq Vae ⭐ 169
VQ-VAE implementation / pytorch
most recent commit 5 years ago
Molgan ⭐ 167
Tensorflow implementation of MolGAN: An implicit generative model for small molecular graphs
most recent commit a year ago
Wavernn ⭐ 163
A WaveRNN implementation
most recent commit 3 years ago
Vde ⭐ 161
Variational Autoencoder for Dimensionality Reduction of Time-Series
most recent commit 5 months ago
Vqvae ⭐ 161
A pytorch implementation of the vector quantized variational autoencoder (https://arxiv.org/abs/1711.00937)
most recent commit 6 months ago
Twostagevae ⭐ 160
most recent commit 3 years ago
Soft Intro Vae Pytorch ⭐ 157
[CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Variational Autoencoders"
most recent commit 3 months ago
Vaal ⭐ 155
Variational Adversarial Active Learning (ICCV 2019)
most recent commit a year ago
Vae_vampprior ⭐ 151
Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling
most recent commit 4 years ago
Vae Celeba ⭐ 150
Variational auto-encoder trained on celebA . All rights reserved.
most recent commit 5 years ago
Survae_flows ⭐ 150
Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"
most recent commit 2 years ago
Fashionplus ⭐ 150
Fashion++: Minimal Edits for Outfit Improvement
most recent commit a year ago
Vae Lagging Encoder ⭐ 150
PyTorch implementation of "Lagging Inference Networks and Posterior Collapse in Variational Autoencoders" (ICLR 2019)
most recent commit 2 years ago
Ae Wavenet ⭐ 149
Wavenet Autoencoder for Unsupervised speech representation learning (after Chorowski, Jan 2019)
most recent commit 2 years ago
Diffusevae ⭐ 149
Official implementation of "DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents"
most recent commit 20 days ago
Vq Vae Speech ⭐ 145
PyTorch implementation of VQ-VAE + WaveNet by [Chorowski et al., 2019] and VQ-VAE on speech signals by [van den Oord et al., 2017]
most recent commit 3 years ago
Factorvae ⭐ 144
Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)
most recent commit 4 years ago
Vae Seq ⭐ 137
Variational Auto-Encoders in a Sequential Setting.
most recent commit 5 years ago
Nsf ⭐ 135
Code for Neural Spline Flows paper
most recent commit 2 years ago
A Hierarchical Latent Structure For Variational Conversation Modeling ⭐ 134
PyTorch Implementation of "A Hierarchical Latent Structure for Variational Conversation Modeling" (NAACL 2018 Oral)
most recent commit 3 years ago
Tensorflow Mnist Cvae ⭐ 134
Tensorflow implementation of conditional variational auto-encoder for MNIST
most recent commit 5 years ago
Python_spectrograms_and_inversion ⭐ 131
Spectrograms, MFCCs, and Inversion Demo in a jupyter notebook
most recent commit 3 years ago
Text Autoencoders ⭐ 131
most recent commit a year ago
Sa Vae ⭐ 128
most recent commit 5 years ago
Vae Lstm For Anomaly Detection ⭐ 128
We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.
most recent commit a year ago
Som Vae ⭐ 127
TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199
most recent commit 2 years ago
Sylvester Flows ⭐ 126
most recent commit 3 years ago
Varibad ⭐ 126
Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)
most recent commit 2 months ago
Beat Blender ⭐ 124
Blend beats using machine learning to create music in a fun new way.
most recent commit 4 years ago
Vmf_vae_nlp ⭐ 124
Code for EMNLP18 paper "Spherical Latent Spaces for Stable Variational Autoencoders"
most recent commit 4 years ago
Bits Back ⭐ 121
most recent commit 2 months ago
Vae Gmvae ⭐ 117
This repository contains the implementation of the VAE and Gaussian Mixture VAE using TensorFlow and several network architectures
most recent commit 2 years ago
Cvae Gan Zoos Pytorch Beginner ⭐ 116
For beginner, this will be the best start for VAEs, GANs, and CVAE-GAN. This contains AE, DAE, VAE, GAN, CGAN, DCGAN, WGAN, WGAN-GP, VAE-GAN, CVAE-GAN. All use PyTorch.
most recent commit 3 years ago
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