193 Open Source Autoencoder Software Projects
Free and open source autoencoder code projects including engines, APIs, generators, and tools.
Tensorflow Book 4416 ⭐
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Nelsonzhao Zhihu 2982 ⭐
This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.
Niftynet 1235 ⭐
[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy
Repo 2017 1032 ⭐
Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano
Keras Idiomatic Programmer 684 ⭐
Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
Ad_examples 587 ⭐
A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
Dancenet 463 ⭐
DanceNet -💃💃Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)
Shayneobrien Generative Models 428 ⭐
Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
DeepSVG 312 ⭐
Official code for the paper "DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation". Includes a PyTorch library for deep learning with SVG data.
Sudharsan13296 Hands On Deep Learning Algorithms With Python 245 ⭐
Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow
Deepinfomaxpytorch 164 ⭐
Learning deep representations by mutual information estimation and maximization
Danmf 154 ⭐
A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).
Timeseries Clustering Vae 158 ⭐
Variational Recurrent Autoencoder for timeseries clustering in pytorch
Libsdae Autoencoder Tensorflow 145 ⭐
A simple Tensorflow based library for deep and/or denoising AutoEncoder.
Latentspacevisualization 145 ⭐
Visualization techniques for the latent space of a convolutional autoencoder in Keras
Tensorflow Mnist Cvae 139 ⭐
Tensorflow implementation of conditional variational auto-encoder for MNIST
Tensorflow_stacked_denoising_autoencoder 141 ⭐
Implementation of the stacked denoising autoencoder in Tensorflow
Kitnet Py 136 ⭐
KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.
Splitbrainauto 132 ⭐
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. In CVPR, 2017.
Motion Sense 116 ⭐
MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope)
Repo 2016 102 ⭐
R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation
Tgsmith61591 Smrt 102 ⭐
Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.
Deep Autoencoders For Collaborative Filtering 96 ⭐
Using Deep Autoencoders for predictions of movie ratings.
Deepai 95 ⭐
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.
Seq3 91 ⭐
Source code for the NAACL 2019 paper "SEQ^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression"
Deepdepthdenoising 85 ⭐
This repo includes the source code of the fully convolutional depth denoising model presented in https://arxiv.org/pdf/1909.01193.pdf (ICCV19)
Tensorflow Playground 81 ⭐
Implementations of some Deep Learning models using tensorflow with scikit-learn like APIs
Autoencoder Based Communication System 76 ⭐
Tensorflow Implementation and result of Auto-encoder Based Communication System From Research Paper : "An Introduction to Deep Learning for the Physical Layer" http://ieeexplore.ieee.org/document/8054694/
Unsuperviseddeeplearning Pytorch 68 ⭐
This repository tries to provide unsupervised deep learning models with Pytorch
Deep_white_balance 93 ⭐
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.
Autoencoders_keras 59 ⭐
Automatic feature engineering using deep learning and Bayesian inference using TensorFlow.
Collaborative Deep Learning For Recommender Systems 60 ⭐
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 54 ⭐
several basic neural networks[mlp, autoencoder, CNNs, recurrentNN, recursiveNN] implements under several NN frameworks[ tensorflow, pytorch, theano, keras]
Image Retrieval 52 ⭐
Image retrieval program made in Tensorflow supporting VGG16, VGG19, InceptionV3 and InceptionV4 pretrained networks and own trained Convolutional autoencoder.
Codeslam 54 ⭐
Implementation of CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM paper (https://arxiv.org/pdf/1804.00874.pdf)
Autoencode 46 ⭐
AutoenCODE is a Deep Learning infrastructure that allows to encode source code fragments into vector representations, which can be used to learn similarities.
Tensorflow_ml_algorithms 43 ⭐
Implementations of machine learning algorithms in Tensorflow: MLP, RNN, autoencoder, PageRank, KNN, K-Means, logistic regression, and OLS regression
Frame Level Anomalies In Videos 45 ⭐
Frame level anomaly detection and localization in videos using auto-encoders
Speech_driven_gesture_generation_with_autoencoder 44 ⭐
This is the official implementation for IVA '19 paper "Analyzing Input and Output Representations for Speech-Driven Gesture Generation".
Unsupervised Image Retrieval 39 ⭐
Unsupervised image retrieval on MNIST dataset using a convolutional autoencoder
Skin Segmentation Tensorflow 39 ⭐
A modified SegNet Convolutional Neural Net for segmenting human skin from images
Peax 37 ⭐
Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders
Tensorflow_whatwhereautoencoder 36 ⭐
Stacked What-Where Auto-encoders implementation wiht Tensorflow
Rnn Vae 36 ⭐
Variational Autoencoder with Recurrent Neural Network based on Google DeepMind's "DRAW: A Recurrent Neural Network For Image Generation"
Biobombe 36 ⭐
BioBombe: Sequentially compressed gene expression features enhances biological signatures
Dual Cnn Models For Unsupervised Monocular Depth Estimation 35 ⭐
Dual CNN Models for Unsupervised Monocular Depth Estimation
Protein Vae 35 ⭐
Variational autoencoder for protein sequences - add metal binding sites and generate sequences for novel topologies
Pytorch Recurrent Ae Siggraph17 36 ⭐
Pytorch implementation for 'Interactive Reconstruction of Monte Carlo Image Sequences using a Recurrent Denoising Autoencoder' , https://research.nvidia.com/publication/interactive-reconstruction-monte-carlo-image-sequences-using-recurrent-denoising
Desom 37 ⭐
:globe_with_meridians: Deep Embedded Self-Organizing Map: Joint Representation Learning and Self-Organization
Unsupervised Classification With Autoencoder 35 ⭐
Using Autoencoders for classification as unsupervised machine learning algorithms with Deep Learning.
Unsupervised_anomaly_detection_brain_mri 36 ⭐
Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study
Recsys_autoencoders 31 ⭐
This project implements different Deep Autoencoder for Collaborative Filtering for Recommendation Systems in Keras
Deep Autoencoder Recommendation 31 ⭐
Keras implementation of AutoRec and DeepRecommender from Nvidia.
Tensorflow Autoencoders 29 ⭐
Implementations of autoencoder, generative adversarial networks, variational autoencoder and adversarial variational autoencoder
Sae Nad 32 ⭐
The implementation of "Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence"
Deepdoa 29 ⭐
Finding Direction of arrival (DOA) of small UAVs using Sparse Denoising Autoencoders and Deep Neural Networks.
Zeta Learn 27 ⭐
zeta-lean: minimalistic python machine learning library built on top of numpy and matplotlib
Cifar Autoencoder 27 ⭐
A look at some simple autoencoders for the Cifar10 dataset, including a denoising autoencoder. Python code included.
Maui 26 ⭐
Multi-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkit
Abae Pytorch 37 ⭐
PyTorch implementation of 'An Unsupervised Neural Attention Model for Aspect Extraction' by He et al. ACL2017'
Tensorbag 25 ⭐
Collection of tensorflow notebooks tutorials for implementing the most important Deep Learning algorithms.
Deep Steg 26 ⭐
Global NIPS Paper Implementation Challenge of "Hiding Images in Plain Sight: Deep Steganography"
3D Object Reconstruction From Multi View Monocular Rgb Images 24 ⭐
Hybrid Ensemble Approach For 3D Object Reconstruction from Multi-View Monocular RGB images
Nn For Missing Marker Reconstruction 22 ⭐
This is the official implementation of the paper "A Neural Network Approach to Missing Marker Reconstruction in Human Motion Capture"
Vq Vae_keras_implementation 21 ⭐
Keras Implementation of Vector Quantizer Variational AutoEncoder (VQ-VAE)
Concise Ipython Notebooks For Deep Learning 21 ⭐
Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.
Video_autoencoder 21 ⭐
Video lstm auto encoder built with pytorch. https://arxiv.org/pdf/1502.04681.pdf
Tensorflow Seq2seq 19 ⭐
Implement en-fr translation task by implenting seq2seq, encoder-decoder in RNN layers with Attention mechanism and Beamsearch inference decoder in TensorFlow 1.3
Probabilistic_nlg 19 ⭐
Tensorflow Implementation of Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation (NAACL 2019).
Near Lossless Binarization 21 ⭐
This repository contains source code to binarize any real-value word embeddings into binary vectors.
Continuous Image Autoencoder 18 ⭐
Deep learning image autoencoder that not depends on image resolution
Reducing The Dimensionality Of Data With Neural Networks 21 ⭐
Implementation of G. E. Hinton and R. R. Salakhutdinov's Reducing the Dimensionality of Data with Neural Networks (Tensorflow)
Feature Selection Techniques 18 ⭐
Python code source for features selection 👨🔬 series on medium website. 📰
Mlwithtensorflow2ed 25 ⭐
Code for Machine Learning with TensorFlow: 2nd Edition Published by Manning Publications
Autoencoder_for_physical_layer 17 ⭐
This is my attempt to reproduce and extend the results in the paper "An Introduction to Deep Learning for the Physical Layer" by Tim O'Shea and Jakob Hoydis
Expertnet Pytorch 15 ⭐
A PyTorch implementation of the CVPR 2017 publication "Expert Gate: Lifelong Learning with a Network of Experts"
Autoencoders 14 ⭐
Variational autoencoder, denoising autoencoder and other variations of autoencoders implementation in keras
Semauto 13 ⭐
A Java framework to build semantics-aware autoencoder neural network from a knowledge-graph.
Autoencoder Mnist 12 ⭐
This is a VERY simple implementation on an autoencoder using TensorFlow. The dataset used is the MNIST dataset.
Accelerated_sampling_with_autoencoder 13 ⭐
Accelerated sampling framework with autoencoder-based method
Encoder Forest 14 ⭐
eForest: Reversible mapping between high-dimensional data and path rule identifiers using trees embedding
Deeplearning Playground 12 ⭐
Deep Learning courses, tutorials and examples with TensorFlow and PyTorch
Tensorflow2.0_notebooks 10 ⭐
Implementation of a series of Neural Network architectures in TensorFow 2.0
Topological Autoencoders 24 ⭐
Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.
Deep Learning Super Resolution Image Reconstruction Dsir 10 ⭐
Deep-Learning convolutional auto-encoders applied to super-resolution microscopy data to localization image reconstruction.