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Search results for vae

624 search results found

Numpy Ml ⭐ 14,162

Machine learning, in numpy

Generative Models ⭐ 6,010

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

Pytorch Vae ⭐ 5,292

A Collection of Variational Autoencoders (VAE) in PyTorch.

Tensorflow Generative Model Collections ⭐ 3,570

Collection of generative models in Tensorflow

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。

Diffusion Models Papers Survey Taxonomy ⭐ 2,411

Diffusion model papers, survey, and taxonomy

Zhusuan ⭐ 2,139

A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow

Vector Quantize Pytorch ⭐ 1,627

Vector Quantization, in Pytorch

Benchmark_vae ⭐ 1,597

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

Advanced Deep Learning With Keras ⭐ 1,534

Advanced Deep Learning with Keras, published by Packt

Vq Vae 2 Pytorch ⭐ 1,165

Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch

Variational Autoencoder ⭐ 1,114

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

Variational Autoencoder ⭐ 1,049

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

Awesome Diffusion Models In Medical Imaging ⭐ 923

Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)

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.

Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models

Human_body_prior ⭐ 719

VPoser: Variational Human Pose Prior

Pytorch Vqvae ⭐ 679

Vector Quantized VAEs - PyTorch Implementation

Disentangling Vae ⭐ 668

Experiments for understanding disentanglement in VAE latent representations

Sentence Vae ⭐ 569

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

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).

Semi Supervised Pytorch ⭐ 554

Implementations of various VAE-based semi-supervised and generative models in PyTorch

Vae Cvae Mnist ⭐ 508

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

Daisyrec ⭐ 496

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.

Genmusic_demo_list ⭐ 477

a list of demo websites for automatic music generation research

A library for developing deep generative models in a more concise, intuitive and extendable way

Awesome Vaes ⭐ 448

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

Generative Models ⭐ 414

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

Tensorflow Multigpu Vae Gan ⭐ 399

A single jupyter notebook multi gpu VAE-GAN example with latent space algebra and receptive field visualizations.

code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".

Joint Vae ⭐ 384

Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation 🌟

Chemical_vae ⭐ 383

Code for 10.1021/acscentsci.7b00572, now running on Keras 2.0 and Tensorflow

Tensorflow Mnist Vae ⭐ 379

Tensorflow implementation of variational auto-encoder for MNIST

Papers For Molecular Design Using Dl ⭐ 367

List of molecular design using Generative AI and Deep Learning

Pytorch Rl ⭐ 356

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

Pytorch Generative ⭐ 355

Easy generative modeling in PyTorch.

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

Pytorch_rvae ⭐ 355

Recurrent Variational Autoencoder that generates sequential data implemented with pytorch

Autoencoding_beyond_pixels ⭐ 350

Generative image model with learned similarity measures

Vae_tutorial ⭐ 348

Caffe code to accompany my Tutorial on Variational Autoencoders

World Models ⭐ 347

Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch

Optimus ⭐ 344

Optimus: the first large-scale pre-trained VAE language model

Cppn Gan Vae Tensorflow ⭐ 316

Train CPPNs as a Generative Model, using Generative Adversarial Networks and Variational Autoencoder techniques to produce high resolution images.

Icml18 Jtnn ⭐ 305

Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)

Dalle Mtf ⭐ 296

Open-AI's DALL-E for large scale training in mesh-tensorflow.

Dsprites Dataset ⭐ 296

Dataset to assess the disentanglement properties of unsupervised learning methods

Awesome Deep Vision Web Demo ⭐ 285

A curated list of awesome deep vision web demo

Beta Tcvae ⭐ 282

code for "Isolating Sources of Disentanglement in Variational Autoencoders".

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..

Beta Vae ⭐ 262

Pytorch implementation of β-VAE

Neural Ode ⭐ 259

Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations

Cross Lingual Voice Cloning ⭐ 253

Tacotron 2 - PyTorch implementation with faster-than-realtime inference modified to enable cross lingual voice cloning.

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

A pytorch implementation of the vector quantized variational autoencoder (https://arxiv.org/abs/1711.00937)

Minimalist implementation of VQ-VAE in Pytorch

Variational Recurrent Autoencoder Tensorflow ⭐ 226

A tensorflow implementation of "Generating Sentences from a Continuous Space"

Adversarial_video_summary ⭐ 216

Unofficial PyTorch Implementation of SUM-GAN from "Unsupervised Video Summarization with Adversarial LSTM Networks" (CVPR 2017)

Pytorch_cpp ⭐ 215

Deep Learning sample programs using PyTorch in C++

S Vae Pytorch ⭐ 214

Pytorch implementation of Hyperspherical Variational Auto-Encoders

Portaspeech ⭐ 211

PyTorch Implementation of PortaSpeech: Portable and High-Quality Generative Text-to-Speech

Learning To Drive In 5 Minutes ⭐ 210

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

Cada Vae Pytorch ⭐ 208

Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)

Tf Vqvae ⭐ 205

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

Video_prediction ⭐ 199

Stochastic Adversarial Video Prediction

Vae Clustering ⭐ 191

Unsupervised clustering with (Gaussian mixture) VAEs

Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT

Neuraldialog Laed ⭐ 183

PyTorch implementation for Interpretable Dialog Generation ACL 2018, It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU

Disentanglement Pytorch ⭐ 182

Disentanglement library for PyTorch

Disentangled_vae ⭐ 179

Replicating "Understanding disentangling in β-VAE"

S Vae Tf ⭐ 178

Tensorflow implementation of Hyperspherical Variational Auto-Encoders

Generative And Discriminative Voxel Modeling ⭐ 170

Voxel-Based Variational Autoencoders, VAE GUI, and Convnets for Classification

VQ-VAE implementation / pytorch

Tensorflow implementation of MolGAN: An implicit generative model for small molecular graphs

Deep and Machine Learning for Microscopy

Wavernn ⭐ 163

A WaveRNN implementation

Airsim Drone Racing Vae Imitation ⭐ 163

Code associated with our paper "Learning Visuomotor Policies for Aerial Navigation Using Cross-Modal Representations": https://arxiv.org/abs/1909.06993

Variational Autoencoder for Dimensionality Reduction of Time-Series

Twostagevae ⭐ 160

ML-supported lo-fi music generator

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"

Nn_physical_concepts ⭐ 155

Variational Adversarial Active Learning (ICCV 2019)

Vae_vampprior ⭐ 151

Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling

Vae Celeba ⭐ 150

Variational auto-encoder trained on celebA . All rights reserved.

Fashionplus ⭐ 150

Fashion++: Minimal Edits for Outfit Improvement

Vae Lagging Encoder ⭐ 150

PyTorch implementation of "Lagging Inference Networks and Posterior Collapse in Variational Autoencoders" (ICLR 2019)

Survae_flows ⭐ 150

Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"

Ae Wavenet ⭐ 149

Wavenet Autoencoder for Unsupervised speech representation learning (after Chorowski, Jan 2019)

Diffusevae ⭐ 149

Official implementation of "DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents"

Vae_anomaly_detection ⭐ 148

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]

Factorvae ⭐ 144

Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)

Python World ⭐ 143

Vae Seq ⭐ 137

Variational Auto-Encoders in a Sequential Setting.

Code for Neural Spline Flows paper

A Hierarchical Latent Structure For Variational Conversation Modeling ⭐ 134

PyTorch Implementation of "A Hierarchical Latent Structure for Variational Conversation Modeling" (NAACL 2018 Oral)

Tensorflow Mnist Cvae ⭐ 134

Tensorflow implementation of conditional variational auto-encoder for MNIST

Text Autoencoders ⭐ 131

Python_spectrograms_and_inversion ⭐ 131

Spectrograms, MFCCs, and Inversion Demo in a jupyter notebook

Temporal Difference Variational Auto-Encoder (TD-VAE) (Implementation in PyTorch)

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