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Drug Response Variational Autoencoder

Example of vanilla VAE for face image generation at resolution 128x128 using pytorch.

Shared Latent Space ⭐ 12

Shared Latent Space VAE's

Example of a Variational-Autoencoder using Theano blocks

Pytorch_divcolor ⭐ 12

Diverse Colorization in Torch

Generative Models Collection ⭐ 12

PyTorch implemented generative models for CelebA dataset: DCGAN, LSGAN, WGAN, WGANGP, InfoGAN, BEGAN, VAE, VAEGAN

Font Vae ⭐ 12

Analysis of font shape using Variational Autoencoder with Convnets

Code for the paper "A Stable Variational Autoencoder for Text Modelling"

Auto Encoding Variational Bayes ⭐ 12

Replication of "Auto-Encoding Variational Bayes" (Kingma & Welling, 2013)

Ddp_recon ⭐ 12

Lifelongvae ⭐ 12

Lifelong Variational Autoencoder

Molecule_discovery ⭐ 12

matter.farm, 7x7 beijing project w/ Sean Raspet

Autoencoder ⭐ 11

VAE implementation in tensorflow

Beta Vae Disentanglement ⭐ 11

Understanding disentangling in beta-VAE (Keras)

Official PyTorch implementation of A Quaternion-Valued Variational Autoencoder (QVAE).

Pde Vae Pytorch ⭐ 11

PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning

Variational autoencoder in Theano

Binary Vae ⭐ 11

A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.

Spatial Decomposition Network (SDNet) for content (anatomy) and style (modality) disentanglement

Ganfromatoz ⭐ 11

This repository reimplements all kinds of published GAN

Sentencemim Demo ⭐ 11

This repo contains code to reproduce some of the results presented in the paper "SentenceMIM: A Latent Variable Language Model"

Vae_sparse ⭐ 11

VAEs on Sparse Data

Tensorflow implementation of Spatial VAE via Matrix-Variate Normal Distributions

Music Generation ⭐ 11

Domain-Specific Music Generation using a deep LSTM and a VAE in Keras.

Deepprofile ⭐ 11

DeepProfile framework, which learns a variational autoencoder (VAE) network from a vast quantity of publicly available gene expression samples and uses the learned network to encode a low-dimensional representation (LDR) for predicting complex phenotypes

Paccmann_chemistry ⭐ 11

Generative models of chemical data for PaccMann^RL

Representation learning for NLP @ JSALT19

Vae Anomaly Experiments ⭐ 11

Re Balanced Vae ⭐ 10

Code for our paper Re-balancing Variational Autoencoder Loss for Molecule Sequence Generation.

Vae Tensorflow ⭐ 10

Variational Auto-Encoder implementation in Tensorflow

Diff Vae Tensorflow ⭐ 10

skeleton variation encoder code in tensorflow

Reasoning Shortcuts ⭐ 10

Codebase for the paper: Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts

Cvae Gan_tensorlayer ⭐ 10

A CVAE-GAN implementation with tensorlayer

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

Implementation for "ROLL: Visual Self-Supervised Reinforcement Learning with Object Reasoning", CoRL 2020

Ifac Vae Imputation ⭐ 10

Demonstration code for missing data imputation using Variational Autoencoders (VAE)

Generative_model_testbed.tensorflow ⭐ 10

Experimental framework for GAN/VAE research

Defense Vae ⭐ 10

Implementation for "Defense-VAE: A Fast and Accurate Defense against Adversarial Attacks"

Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction

Projects ⭐ 10

This is the repository containing machine learning and deep learning projects, as well as some presentation slides on these topics.

Code accompanying NCA paper titled "Attribute-based Regularization of Latent Spaces for Variational Auto-Encoders"

Variational Autoencoder with Normalizing Flows

Adaptive Quantization Modules ⭐ 10

Code for "Online Learned Continual Compression with Adaptive Quantization Modules"

3D SLN code, including VAE, Diff Render, SPADE for colorization (CVPR 2020 Oral)

Code for "MIM: Mutual Information Machine" paper.

Coupled Vae Improved Robustness And Accuracy Of A Variational Autoencoder ⭐ 10

We present a coupled Variational Auto-Encoder (VAE) method that improves the accuracy and robustness of the probabilistic inferences on represented data. The new method models the dependency between input feature vectors (images) and weighs the outliers with a higher penalty by generalizing the original loss function to the coupled entropy function, using the principles of nonlinear statistical coupling. We evaluate the performance of the coupled VAE model using the MNIST dataset. Compared with

Implementation of Collaborative Variational Autoencoder for Recommder Systems KDD 2017

Vae Latent Structure ⭐ 9

PyTorch implementation of "Variational Autoencoders with Jointly Optimized Latent Dependency Structure" [ICLR 2019]

Imputation Dgm ⭐ 9

Code for the paper "Improving Missing Data Imputation with Deep Generative Models"

Variational Autoencoder for Collaborative Filtering implementation in TensorFlow

Tss18 Robotsinmusicalimprovisation ⭐ 9

Robots in Musical Improvisation: Learning Algorithms Respecting Motion Constraints

Kl_text_vae ⭐ 9

[WNGT(2019)] On the Importance of the Kullback-Leibler Divergence Term in Variational Autoencoders for Text Generation

Worldmodels A3c ⭐ 9

World Models with A3C on Carracing-v0 in gym

Official code for the "Optimal Variance Control of the Score Function Gradient Estimator for Importance Weighted Bounds"

Deeprl Pytorch ⭐ 9

Pytorch implementations of various Deep Reinforcement Learning algorithms on pybullet environments.

Meshpooling ⭐ 9

Code for 'Mesh Variational Autoencoders with Edge Contraction Pooling'

Inception Vae ⭐ 9

Variational Auto Encoder using Inception module in PyTorch

VAE + Quantile Networks for MNIST

Attend Infer Repeat Pytorch ⭐ 9

Attend Infer Repeat (AIR) in PyTorch

Model Free Episodic Control ⭐ 9

Model-Free-Episodic-Control implementation.

Worldmodelplanning ⭐ 9

Rna Seq Vae ⭐ 9

Synthetic gene expression data generation using Variational Auto-Encoder

Multiview 3d Vae Gan ⭐ 9

Multiview extension of the 3D-VAE-GAN architecture introduced in the paper "Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling"

Apollogan ⭐ 9

[pytorch] music generation project by GAN network

Sword Gan32 ⭐ 8

VAE-GAN for generating pixel-art swords.

ift6135 final project

Variational Auto Encoders for learning binding signatures of transcription factors

Gan Hallucination ⭐ 8

This projects investigates the possible hallucinations or adversarial attacks for solving linear inverse problems. The goal is to understand the possible hallucinations, define metrics to quantify the hallucination, and find regularization techniques to make deep reconstruction nets robust against hallucination.

Pgn_anomaly_detection ⭐ 8

Prior Generating Networks for Anomaly Detection

Gamma Variational Autoencoder ⭐ 8

Deep Latent Gamma Model / Gamma VAE

Vq Vae Images ⭐ 8

PyTorch implementation of VQ-VAE applied on CIFAR10 dataset

Vae Pytorch ⭐ 8

Pytorch Neural Search Optimizer ⭐ 8

PyTorch implementation of Neural Optimizer Search's Optimizer_1

Generating Sentences Vae Lstm ⭐ 8

Vae Random Graph ⭐ 8

grapg generation for vae

Generative Model Using Pytorch ⭐ 8

implement GANs and VAE using pytorch

Emotion_landscapes ⭐ 8

Experiment into generating emotional landscapes with VAEs.

Variational_auto Encoder ⭐ 7

Variational Auto-Encoder implemented using pytorch

This repo contains the code for our AAAI-Workshop paper "Learning disentangled representations from 12-lead electrograms: application in localizing the origin of Ventricular Tachycardia"

OpenNIG is a toolkit that generates new images from a given distribution.

Vae Clustering ⭐ 7

Using VAEs to do clustering for classification

Praktikum: Deep Learning in Real World 2017 - Importance Weighted Autoencoder

Code of "Learning to Generate with Memory"

Variational_autoencoder ⭐ 7

Vector Quantized Autoencoders ⭐ 7

Tensorflow Implementation of "Theory and Experiments on Vector Quantized Autoencoders"

Rnnbasedvideoprediction ⭐ 7

RNN based video next frame prediction

Realtime Variational Auto Encoder for audio generation

Machine Learning Portfolio ⭐ 7

Assorted machine learning implementations for medical data

Attack_vae ⭐ 7

Diagnosing Vulnerability of Variational Auto-Encoders to Adversarial Attacks

case text embedding

Adversarial learning framework to enhance long-tail recommendation in Neural Collaborative Filtering

Variational Autoencoders: Tutorial and Examples

Ai_safety ⭐ 7

Portfolio Project for the Data Science Retreat

Adversarial General Voice Conversion ⭐ 7

3d Vae Gan Deep Learning Project ⭐ 7

COMS 4995 Deep Learning Project, Spring 2018

Trajectories ⭐ 7

Search over discrete generative models. Presented at the PGMRL Workshop at ICML 2018

Tf_vaegan ⭐ 6

VAE/GAN implemented in tensorflow

Conditionalvariationalautoencoder ⭐ 6

Implement Conditional VAE and train on MNIST by tensorflow 1.3.0.

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