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Search results for python vae

438 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。

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

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

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.

Generative Models ⭐ 414

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

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

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

Pytorch Rl ⭐ 356

This repository contains model-free deep reinforcement learning algorithms implemented 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

Pytorch Generative ⭐ 355

Easy generative modeling in 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.

Beta Tcvae ⭐ 282

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

Beta Vae ⭐ 262

Pytorch implementation of β-VAE

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

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)

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

Video_prediction ⭐ 199

Stochastic Adversarial Video Prediction

Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT

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

Nn_physical_concepts ⭐ 155

Vae_vampprior ⭐ 151

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

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"

Fashionplus ⭐ 150

Fashion++: Minimal Edits for Outfit Improvement

Vae Celeba ⭐ 150

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

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

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

Som Vae ⭐ 127

TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199

Sylvester Flows ⭐ 126

Varibad ⭐ 126

Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)

Vmf_vae_nlp ⭐ 124

Code for EMNLP18 paper "Spherical Latent Spaces for Stable Variational Autoencoders"

Bits Back ⭐ 121

Vae Gmvae ⭐ 117

This repository contains the implementation of the VAE and Gaussian Mixture VAE using TensorFlow and several network architectures

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.

Efficient Vdvae ⭐ 115

Official Pytorch and JAX implementation of "Efficient-VDVAE: Less is more"

Vae Gan Tensorflow ⭐ 112

Tensorflow code of "autoencoding beyond pixels using a learned similarity metric"

Vqvae Speech ⭐ 110

Tensorflow implementation of the speech model described in Neural Discrete Representation Learning (a.k.a. VQ-VAE)

Vae Npvc ⭐ 108

Re-implementation the code used in Voice Conversion from Non-parallel Corpora Using Variational Auto-encoder

Generate images via a Generative Adversarial Network (GAN)

repository for the Variational Autoencoder (VAE) blogpost series from Fast Forward Labs

O-GAN: Extremely Concise Approach for Auto-Encoding Generative Adversarial Networks

Mojitalk ⭐ 98

Code for "MojiTalk: Generating Emotional Responses at Scale" https://arxiv.org/abs/1711.04090

State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox

code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".

Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.

Neuraldx7 ⭐ 93

Deep models related to the Yamaha DX7

Generative Models ⭐ 92

Comparison of Generative Models in Tensorflow

Dcgan_vae_pytorch ⭐ 91

dcgan combined with vae in pytorch!

Keras Autoencoders ⭐ 90

Autoencoders in Keras

Vaegan Pytorch ⭐ 90

VAEGAN from "Autoencoding beyond pixels using a learned similarity metric" implemented in Pytorch. Clean, clear and with comments.

Semisupervised_vae ⭐ 89

Replication of Semi-Supervised Learning with Deep Generative Models

🧶 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

Variational Autoencoder (VAE) with perception loss implementation in pytorch

Carla Ppo ⭐ 86

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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