autoencoder
There are 1952 repositories under autoencoder topic.
yzhao062/pyod
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
MorvanZhou/PyTorch-Tutorial
Build your neural network easy and fast, 莫烦Python中文教学
BinRoot/TensorFlow-Book
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
MorvanZhou/Tensorflow-Tutorial
Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
podgorskiy/ALAE
[CVPR2020] Adversarial Latent Autoencoders
NELSONZHAO/zhihu
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.
golbin/TensorFlow-Tutorials
텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다
PacktPublishing/Advanced-Deep-Learning-with-Keras
Advanced Deep Learning with Keras, published by Packt
VivekPa/AIAlpha
Use unsupervised and supervised learning to predict stocks
NifTK/NiftyNet
[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy
RubensZimbres/Repo-2017
My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano
alexandre01/deepsvg
[NeurIPS 2020] Official code for the paper "DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation". Includes a PyTorch library for deep learning with SVG data.
wubinzzu/NeuRec
Next RecSys Library
wmhello/laravel_template_with_vue
laravel6和vue-element-admin结合的前后端分离项目模板。包含接口端、管理端、小程序和微信公众号端，绝对是你做外包或者自建项目的首选模板。模板内容包括基础的用户管理和权限管理、日志管理、集成第三方登录，整合workerman框架中的GatewayWorker项目来实现了websocket 做到了消息的实时推送，并在此基础上，实现了聊天室和客服功能；实现低代码开发，能分析数据表内容及其设置，实现自动生成代码。
phizaz/diffae
Official implementation of Diffusion Autoencoders
shubhomoydas/ad_examples
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.
GoogleCloudPlatform/keras-idiomatic-programmer
Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
wagamamaz/tensorflow-tutorial
TensorFlow and Deep Learning Tutorials
JulesBelveze/time-series-autoencoder
PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series
EndlessSora/focal-frequency-loss
[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis
mahmoudnafifi/Deep_White_Balance
Reference code for the paper: Deep White-Balance Editing (CVPR 2020). Our method is a deep learning multi-task framework for white-balance editing.
jsn5/dancenet
DanceNet -💃💃Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)
shayneobrien/generative-models
Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
hwalsuklee/tensorflow-mnist-VAE
Tensorflow implementation of variational auto-encoder for MNIST
tejaslodaya/timeseries-clustering-vae
Variational Recurrent Autoencoder for timeseries clustering in pytorch
Kaixhin/Autoencoders
Torch implementations of various types of autoencoders
shobrook/sequitur
Library of autoencoders for sequential data
charlesq34/pointnet-autoencoder
Autoencoder for Point Clouds
ethanluoyc/pytorch-vae
A Variational Autoencoder (VAE) implemented in PyTorch
akurgat/automating-technical-analysis
Using data analytics alongside popular trading strategies and indicators, to identify best trading actions based solely on the price action.
lucashu1/link-prediction
Representation learning for link prediction within social networks
sudharsan13296/Hands-On-Deep-Learning-Algorithms-with-Python
Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow
mmalekzadeh/motion-sense
MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope) (PMC Journal) (IoTDI'19)
vlukiyanov/pt-dec
PyTorch implementation of DEC (Deep Embedding Clustering)
DuaneNielsen/DeepInfomaxPytorch
Learning deep representations by mutual information estimation and maximization
marian42/shapegan
Generative Adversarial Networks and Autoencoders for 3D Shapes