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