Topic: autoencoder Goto Github

👇 Here are 1597 public repositories matching this topic...

akurgat / automating-technical-analysis
autoencoder,Using data analytics of popular trading strategies and indicators, to identify best trading actions based solely on the price action.
User: akurgat
Home Page: https://automated-technical-analysis.herokuapp.com/
cryptocurrency deep-learning futures heroku plotly stock-analysis streamlit technical-analysis tensorflow time-series-analysis

alexandre01 / deepsvg
autoencoder,[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.
User: alexandre01
Home Page: https://www.lingosub.com
deep-learning pytorch svg svg-animations transformer library python deep-svg machine-learning autoencoder

atiyo / deep_image_prior
autoencoder,Image reconstruction done with untrained neural networks.
User: atiyo
deep-learning autoencoder convolutional-neural-networks pytorch

bdy9527 / sdcn
autoencoder,Structural Deep Clustering Network
User: bdy9527
deep-clustering graph-convolutional-networks self-supervised-learning knn-graphs autoencoder

benedekrozemberczki / danmf
autoencoder,A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).
User: benedekrozemberczki
Home Page: https://karateclub.readthedocs.io/
deep-learning autoencoder machine-learning data-science clustering community-detection nmf deepwalk node2vec mnmf

binroot / tensorflow-book
autoencoder,Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
User: binroot
Home Page: http://www.tensorflowbook.com
tensorflow machine-learning regression convolutional-neural-networks logistic-regression book reinforcement-learning autoencoder linear-regression classification clustering

c1mone / tensorflow-101
autoencoder,中文的 tensorflow tutorial with jupyter notebooks
User: c1mone
tensorflow jupyter-notebook autoencoder deep-learning

charlesq34 / pointnet-autoencoder
autoencoder,Autoencoder for Point Clouds
User: charlesq34
point-cloud deep-learning pointnet autoencoder

conan7882 / adversarial-autoencoders
autoencoder,Tensorflow implementation of Adversarial Autoencoders
User: conan7882
adversarial-autoencoders adversarial-networks tensorflow autoencoder semi-supervised-learning

denisyarats / pytorch_sac_ae
autoencoder,PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)
User: denisyarats
Home Page: https://sites.google.com/view/sac-ae/home
reinforcement-learning dm-control soft-actor-critic pytorch deep-reinforcement-learning actor-critic mujoco gym deep-learning autoencoder

despoisj / latentspacevisualization
autoencoder,Visualization techniques for the latent space of a convolutional autoencoder in Keras
User: despoisj
deep-learning neural-network machine-learning autoencoder visualization

duanenielsen / deepinfomaxpytorch
autoencoder,Learning deep representations by mutual information estimation and maximization
User: duanenielsen
Home Page: https://arxiv.org/abs/1808.06670
deep-learning pytorch autoencoder compression

endlesssora / focal-frequency-loss
autoencoder,[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis
User: endlesssora
generative-models loss-function frequency-domain frequency-analysis complementary autoencoder variational-autoencoder gan pix2pix spade

ethanluoyc / pytorch-vae
autoencoder,A Variational Autoencoder (VAE) implemented in PyTorch
User: ethanluoyc
machine-learning autoencoder pytorch pytorch-tutorials

gitihubi / deepai
autoencoder,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.
User: gitihubi
autoencoder anomaly-detection fraud-detection deep-learning pytorch forensic-accounting accounting fraud-prevention fraud

golbin / tensorflow-tutorials
autoencoder,텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다
User: golbin
neural-network tensorflow mnist autoencoder rnn deep-learning tutorial chatbot seq2seq dqn word2vec cnn gan inception

googlecloudplatform / keras-idiomatic-programmer
autoencoder,Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
Organization: googlecloudplatform
keras keras-tutorials machine-learning resnet resnext densenet senet mobilenet tensorflow-keras automl

hwalsuklee / tensorflow-mnist-vae
autoencoder,Tensorflow implementation of variational auto-encoder for MNIST
User: hwalsuklee
tensorflow mnist vae variational-autoencoder denoising-autoencoders autoencoder dae

jsn5 / dancenet
autoencoder,DanceNet -💃💃Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)
User: jsn5
keras computer-vision lstm generative-model mixture-density-networks autoencoder

julesbelveze / time-series-autoencoder
autoencoder,PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series
User: julesbelveze
autoencoder lstm-autoencoder attention-mechanisms time-series multivariate-timeseries pytorch forecasting

kaixhin / autoencoders
autoencoder,Torch implementations of various types of autoencoders
User: kaixhin
autoencoder deep-learning

koba-jon / pytorch_cpp
autoencoder,Deep Learning sample programs using PyTorch in C++
User: koba-jon
pytorch libtorch cpp deep-learning linux convolutional-autoencoder autoencoder vae dcgan u-net

lucashu1 / link-prediction
autoencoder,Representation learning for link prediction within social networks
User: lucashu1
link-prediction social-network graph-algorithms autoencoder representation-learning networkx node2vec

mahmoudnafifi / deep_white_balance
autoencoder,Reference code for the paper: Deep White-Balance Editing (CVPR 2020). Our method is a deep learning multi-task framework for white-balance editing.
User: mahmoudnafifi
multitask-learning white-balance color-correction color-constancy auto-white-balance image-manipulation color-manipulation image-enhancement color-enhancement color-processing

marian42 / shapegan
autoencoder,Generative Adversarial Networks and Autoencoders for 3D Shapes
User: marian42
Home Page: https://arxiv.org/abs/2002.00349
gan sdf generative-adversarial-network 3d machine-learning autoencoder pytorch

mmalekzadeh / motion-sense
autoencoder,MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope) (PMC Journal) (IoTDI'19)
User: mmalekzadeh
Home Page: https://www.sciencedirect.com/science/article/pii/S1574119220300201
sensor acclerometer gyroscope motionsensor time-series smartphone dataset human-activity-recognition activity-recognition deep-learning

morvanzhou / pytorch-tutorial
autoencoder,Build your neural network easy and fast, 莫烦Python中文教学
User: morvanzhou
Home Page: https://mofanpy.com/tutorials/machine-learning/torch/
autoencoder batch batch-normalization classification cnn dqn dropout gan generative-adversarial-network machine-learning neural-network python pytorch pytorch-tutorial pytorch-tutorials regression reinforcement-learning rnn tutorial

morvanzhou / tensorflow-tutorial
autoencoder,Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
User: morvanzhou
Home Page: https://mofanpy.com/tutorials/machine-learning/tensorflow/
tensorflow tensorflow-tutorials gan generative-adversarial-network rnn cnn classification regression autoencoder deep-q-network

nelsonzhao / zhihu
autoencoder,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.
User: nelsonzhao
Home Page: https://zhuanlan.zhihu.com/zhaoyeyu
autoencoder convolutional-neural-networks deep-learning gan machine-translation natural-language-processing recurrent-neural-networks style-transfer tensorflow-examples

niftk / niftynet
autoencoder,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy
Organization: niftk
Home Page: http://niftynet.io
tensorflow distributed ml neural-network python python2 python3 pip deep-neural-networks deep-learning

oke-aditya / image_similarity
autoencoder,PyTorch Blog Post On Image Similarity Search
User: oke-aditya
Home Page: https://oke-aditya.github.io/image_similarity/
auto-encoders autoencoder image-retrieval image-similarity pytorch unsupervised-learning

packtpublishing / advanced-deep-learning-with-keras
autoencoder, Advanced Deep Learning with Keras, published by Packt
Organization: packtpublishing
keras gan vae reinforcement-learning autoencoder deep-learning

phizaz / diffae
autoencoder,Official implementation of Diffusion Autoencoders
User: phizaz
Home Page: https://diff-ae.github.io/
deep-learning diffusion-models autoencoder ffhq lsun latent-variable-models cvpr2022

podgorskiy / alae
autoencoder,[CVPR2020] Adversarial Latent Autoencoders
User: podgorskiy
generative-adversarial-network deep-learning autoencoder ffhq celeba celeba-hq stylegan alae neural-network generative-model

rubenszimbres / repo-2017
autoencoder,My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano
User: rubenszimbres
anomaly-detection deep-learning autoencoder keras keras-models denoising-autoencoders generative-adversarial-network glove keras-layer word2vec

shayneobrien / generative-models
autoencoder,Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
User: shayneobrien
python generative-adversarial-network machine-learning pytorch discriminator gan wasserstein vae generative-models began

shobrook / sequitur
autoencoder,Library of autoencoders for sequential data
User: shobrook
autoencoder lstm pytorch sequence autoencoder-model time-series

shubhomoydas / ad_examples
autoencoder,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.
User: shubhomoydas
ensemble-learning active-learning anomaly-detection rnn lstm explaination interpretability time-series timeseries trees

silviutroscot / codeslam
autoencoder,Implementation of CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM paper (https://arxiv.org/pdf/1804.00874.pdf)
User: silviutroscot
deep-learning pytorch paper-implementations slam representation-learning autoencoder variational-autoencoder vision computer-vision representations-learning

sudharsan13296 / hands-on-deep-learning-algorithms-with-python
autoencoder,Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow
User: sudharsan13296
Home Page: https://www.amazon.com/gp/product/B07LH43V8P/ref=dbs_a_def_rwt_hsch_vapi_tkin_p1_i3
deep-learning-mathematics deep-learning-math deep-learning-scratch gans cyclegan adagrad autoencoder capsule-network nadam word-embeddings

tejaslodaya / timeseries-clustering-vae
autoencoder,Variational Recurrent Autoencoder for timeseries clustering in pytorch
User: tejaslodaya
timeseries autoencoder clustering

tensorlayer / awesome-tensorlayer
autoencoder,A curated list of dedicated resources and applications
Organization: tensorlayer
tensorlayer tensorflow tensorflow-tutorials natural-language-processing reinforcement-learning adversarial-learning autoencoder database computer-vision keras

vivekpa / aialpha
autoencoder,Use unsupervised and supervised learning to predict stocks
User: vivekpa
artificial-intelligence artificial-neural-networks lstm machine-learning stock-price-prediction algorithmic-trading quantitative-finance autoencoder wavelet-transform yahoo-finance-api

vlukiyanov / pt-dec
autoencoder,PyTorch implementation of DEC (Deep Embedding Clustering)
User: vlukiyanov
pytorch clustering autoencoder

wagamamaz / tensorflow-tutorial
autoencoder,TensorFlow and Deep Learning Tutorials
User: wagamamaz
recurrent-neural-networks convolutional-neural-networks deep-learning-tutorial tensorflow tensorlayer keras deep-reinforcement-learning tensorflow-tutorials deep-learning machine-learning

wblgers / tensorflow_stacked_denoising_autoencoder
autoencoder,Implementation of the stacked denoising autoencoder in Tensorflow
User: wblgers
tensorflow autoencoder stacked-autoencoder denoising-autoencoders sparse-autoencoder

wmhello / laravel_template_with_vue
autoencoder,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。
User: wmhello
Home Page: https://element.wmhello.cn/
vuejs template rbac passport manger vue-element-admin vue-admin-tamplate restful-api chat s

wubinzzu / neurec
autoencoder,Next RecSys Library
User: wubinzzu
recommender-systems neural-networks collaborative-filtering deep-learning tensorflow variational-autoencoder autoencoder convolutional-neural-networks adversarial-learning sequential

ymirsky / kitnet-py
autoencoder,KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.
User: ymirsky
machine-learning anomaly-detection autoencoder neural-networks incremental

yzhao062 / pyod
autoencoder,A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
User: yzhao062
Home Page: http://pyod.readthedocs.io
outlier-detection anomaly-detection outlier-ensembles outliers anomaly python machine-learning data-mining unsupervised-learning python3