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Top 129 autoencoder open source projects

Link Prediction
Representation learning for link prediction within social networks
Pytorch Vae
A Variational Autoencoder (VAE) implemented in PyTorch
Deepinfomaxpytorch
Learning deep representations by mutual information estimation and maximization
Timeseries Clustering Vae
Variational Recurrent Autoencoder for timeseries clustering in pytorch
Deep white balance
Reference code for the paper: Deep White-Balance Editing, CVPR 2020 (Oral). Our method is a deep learning multi-task framework for white-balance editing.
Tensorflow Tutorials
텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다
Tensorflow 101
中文的 tensorflow tutorial with jupyter notebooks
Deep image prior
Image reconstruction done with untrained neural networks.
Sequitur
Library of autoencoders for sequential data
Danmf
A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).
Motion Sense
MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope)
Latentspacevisualization
Visualization techniques for the latent space of a convolutional autoencoder in Keras
Kitnet Py
KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.
Shapegan
Generative Adversarial Networks and Autoencoders for 3D Shapes
Tensorflow stacked denoising autoencoder
Implementation of the stacked denoising autoencoder in Tensorflow
Libsdae Autoencoder Tensorflow
A simple Tensorflow based library for deep and/or denoising AutoEncoder.
Tensorflow Mnist Cvae
Tensorflow implementation of conditional variational auto-encoder for MNIST
Splitbrainauto
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. In CVPR, 2017.
Kate
Code & data accompanying the KDD 2017 paper "KATE: K-Competitive Autoencoder for Text"
Pt Dec
PyTorch implementation of DEC (Deep Embedding Clustering)
Tybalt
Training and evaluating a variational autoencoder for pan-cancer gene expression data
Srl Zoo
State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox
Calc
Convolutional Autoencoder for Loop Closure
Lstm Autoencoders
Anomaly detection for streaming data using autoencoders
Deepai
Detection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.
Sdcn
Structural Deep Clustering Network
Smrt
Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.
Zerospeech Tts Without T
A Pytorch implementation for the ZeroSpeech 2019 challenge.
Deepdepthdenoising
This repo includes the source code of the fully convolutional depth denoising model presented in https://arxiv.org/pdf/1909.01193.pdf (ICCV19)
Niftynet
[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy
Sdne Keras
Keras implementation of Structural Deep Network Embedding, KDD 2016
Image similarity
PyTorch Blog Post On Image Similarity Search
Pt Sdae
PyTorch implementation of SDAE (Stacked Denoising AutoEncoder)
Molencoder
Molecular AutoEncoder in PyTorch
Codeslam
Implementation of CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM paper (https://arxiv.org/pdf/1804.00874.pdf)
Collaborative Deep Learning For Recommender Systems
The hybrid model combining stacked denoising autoencoder with matrix factorization is applied, to predict the customer purchase behavior in the future month according to the purchase history and user information in the Santander dataset.
Basic nns in frameworks
several basic neural networks[mlp, autoencoder, CNNs, recurrentNN, recursiveNN] implements under several NN frameworks[ tensorflow, pytorch, theano, keras]
Frame Level Anomalies In Videos
Frame level anomaly detection and localization in videos using auto-encoders
Recoder
Large scale training of factorization models for Collaborative Filtering with PyTorch
Rnn Vae
Variational Autoencoder with Recurrent Neural Network based on Google DeepMind's "DRAW: A Recurrent Neural Network For Image Generation"
Website Fingerprinting
Automatic Feature Generation for Website Fingerprinting
Concise Ipython Notebooks For Deep Learning
Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.
1-60 of 129 autoencoder projects