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Search results for jupyter notebook vae
jupyter-notebook
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vae
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135 search results found
Tensorflow2 Generative Models
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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.
Pixyz
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473
A library for developing deep generative models in a more concise, intuitive and extendable way
Generative Models
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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
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399
A single jupyter notebook multi gpu VAE-GAN example with latent space algebra and receptive field visualizations.
Joint Vae
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384
Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation 🌟
Dsprites Dataset
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296
Dataset to assess the disentanglement properties of unsupervised learning methods
Generative_models_tutorial_with_demo
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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..
Neural Ode
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259
Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations
Cross Lingual Voice Cloning
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253
Tacotron 2 - PyTorch implementation with faster-than-realtime inference modified to enable cross lingual voice cloning.
Vqvae
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240
A pytorch implementation of the vector quantized variational autoencoder (https://arxiv.org/abs/1711.00937)
Tf Vqvae
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205
Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).
Vae Clustering
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191
Unsupervised clustering with (Gaussian mixture) VAEs
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
Soft Intro Vae Pytorch
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157
[CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Variational Autoencoders"
Vaal
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155
Variational Adversarial Active Learning (ICCV 2019)
Python_spectrograms_and_inversion
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131
Spectrograms, MFCCs, and Inversion Demo in a jupyter notebook
Vae Lstm For Anomaly Detection
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128
We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.
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
Pixyzoo
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97
Implementation codes of deep generative models with Pixyz
Ml Readings
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94
A list of papers / videos / tutorials / blog posts on machine learning
Sqair
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89
Implementation of Sequential Attend, Infer, Repeat (SQAIR)
Vae Text Generation
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88
Text Generation Using A Variational Autoencoder
Tacotron2 Vae
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76
Implementation of "Learning Latent Representations for Style Control and Transfer in End-to-end Speech Synthesis"
Tf Eager Examples
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75
A set of simple examples ported from PyTorch for Tensorflow Eager Execution
Vae Pokedex
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72
The companion code for How to Autoencode your Pokemon
Tensorflow 2.x Ogretici Notebooklar Turkce
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72
TensorFlow 2.X hakkında (Türkçe) öğretici notebooklar paylaşıyorum. Repoyu yararlı bulursanız yıldızlayarak destek olabilirsiniz :)
Airc Rl Agent
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66
AI RC Car Agent that using deep reinforcement learning on Jetson Nano
Deeptcr
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62
Deep Learning Methods for Parsing T-Cell Receptor Sequencing (TCRSeq) Data
Music Sketchnet
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55
ISMIR 2020 Paper repo: Music SketchNet: Controllable Music Generation via Factorized Representations of Pitch and Rhythm
Vae_captioning
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52
Implementation of Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space
Generative Model
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46
Repository for implementation of generative models with Tensorflow 1.x
Vae Pytorch
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46
AE and VAE Playground in PyTorch
Vae_protein_function
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44
Protein function prediction using a variational autoencoder
Spectrogramvae
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44
TensorFlow implementation of a VAE for encoding spectrograms
Ace
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42
Code for the paper, Neural Network Attributions: A Causal Perspective (ICML 2019).
Lidar_generation
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41
Code for "Deep Generative Models for LiDAR Data"
Pae
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39
Probabilistic Auto-Encoder
Playing_with_vae
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34
Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST
Lossy Vae
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32
Authors' PyTorch implementation of lossy image compression methods that are based on hierarchical VAEs
Ml_playground
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31
Collection of machine learning projects
Vq Vae
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30
Pytorch Implementation of "Neural Discrete Representation Learning"
Vae Latent Space Explorer
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29
Interactive exploration of MNIST variational autoencoder latent space with React and tensorflow.js.
World Models Sonic Pytorch
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28
Attempt at reinforcement learning with curiosity for Sonic the Hedgehog games. Number 149 on OpenAI retro contest leaderboard, but more work needed
Variational Autoencoders Collaborative Filtering
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28
This repository contains python (using Keras) code implementing variational autoencoders for collaborative filtering on movielens and spotify data
Vq Draw
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28
A discrete sequential VAE
Multi View Information Bottleneck
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27
Implementation of Multi-View Information Bottleneck
Mmd Variational Autoencoder Pytorch Infovae
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26
Implementation of the MMD VAE paper (InfoVAE: Information Maximizing Variational Autoencoders) in pytorch
Qedr
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25
Quantitative evaluation of disentangled representations
Tensorflow_deep_learning_models
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23
TensorFlow implementations of several deep learning models (e.g. variational autoencoder, RNN, ...)
Transvae
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22
A Transformer Based VAE Architecture for De Novo Molecular Design
Anomaly Xray Gans
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22
Anomaly detection on X-Ray MURA dataset using GAN.
Vq Vae_keras_implementation
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22
Keras Implementation of Vector Quantizer Variational AutoEncoder (VQ-VAE)
Mmd Vae
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21
Pytorch implementation of Maximum Mean Discrepancy Variational Autoencoder, a member of the InfoVAE family that maximizes Mutual Information between the Isotropic Gaussian Prior (as the latent space) and the Data Distribution.
Vaes
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21
Variational autoencoders: VAE, gaussian mixture VAE (GMVAE), and a basic ladder VAE (LVAE)
F Anogan_with_pytorch
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20
Disent And Gen
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20
Code for the article: The Role of Disentanglement in Generalisation (ICLR, 2021).
Deep Vae Prediction Of Churn Customer
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19
Variational deep autoencoder to predict churn customer
Ima Vae
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19
This is the code for the paper Embrace the Gap: VAEs perform Independent Mechanism Analysis, showing that optimizing the ELBO is equivalent to optimizing the IMA-regularized log-likelihood under certain assumptions (e.g., small decoder variance).
Pokemon Generator
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19
Practice Tensorflow by using pokemon
Python2ai
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18
从零开始学习人工智能
Keras Iaf Mnist
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18
Implementation of Inverse Autoregressive Flows with Keras
Scan From Betavae
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18
Pytorch implementation of SCAN: Learning Abstract Hierarchical Compositional Visual Concepts
8bit Vae
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17
An implementation of MusicVAE made for the NES MDB in PyTorch.
Variationalautoencoders
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17
Comparison of Variational Autoencoders with Bayesian Neural Networks. Accuracy, Latent space, Reconstruction and White Noise filtering.
Mol Cycle Gan
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17
Mol-CycleGAN - a generative model for molecular optimization
Pytorch Tutorials
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17
🤖 | Learning PyTorch through official examples
Char Vae
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17
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.
Deepgtt
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17
DeepGTT: Learning Travel Time Distributions with Deep Generative Model
Algorithms
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16
for algorithm implementation and testing.
Generative_deep_learning_2nd_edition
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16
<만들면서 배우는 생성 AI 2판>의 코드 저장소
Dd Vae
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16
Deterministic Decoding for Discrete Data in Variational Autoencoders
Generative_deep_learning
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15
Generative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)
Normalizing Flows
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15
Implementations of normalizing flows using python and tensorflow
Pytorch_vae_cvae
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15
pytorch implementation Variational Autoencoder and Conditional Variational Autoencoder
Pytorch_models
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15
PyTorch study
Infovae
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15
Dirichlet Vae
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14
Dirichlet-Variational Auto-Encoder by PyTorch
Rvagene
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14
Recurrent Variational Auto gene encoder
Lego Face Vae
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14
Variational autoencoder for Lego minifig faces
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
Deep Learning Projects
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13
Best Deep Learning Projects for Advanced Learners
Learning_data_aug
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13
OpenAI Request for Research - https://blog.openai.com/requests-for-research-2/
Drugembedding
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12
Hierarchical Embedding for Drugs
Dirichlet Vae
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12
investigating use of variational auto encoders with multinomial latent variables for unsupervised data.
Gflownet Em
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12
Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.
Adv_vae
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11
Adversarial Images for Variational Autoencoders
Dlmodels
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11
Personal experiments and implementation examples of deep learning papers.
Generic Expression Patterns
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11
Distinguishing between generic and experiment-specific gene expression signals.
Estimating Gradients Without Replacement
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10
Estimating Gradients for Discrete Random Variables by Sampling without Replacement
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.
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”.
Lyrics Generation Using Rnns
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9
Coherent / Meaningful lyrics generation using RNNs , with a dataset created by web-scraping the GENIUS website using its API.
Colab Notebooks
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9
Colab notebooks exploring different Machine Learning topics.
Rho_vae
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9
rho_VAE: an autoregressive parametrization of the VAE encoder
Planar Flow Pytorch
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9
Pytorch implementation of Planar Flow
Galaxy Autoencoders
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8
Autoencoders for galaxies
Vectorquantizedvae
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8
A PyTorch implementation of "Continuous Relaxation Training of Discrete Latent Variable Image Models"
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