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Projects in Awesome Lists tagged with autoencoder

A curated list of projects in awesome lists tagged with autoencoder .

https://github.com/binroot/tensorflow-book

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

autoencoder book classification clustering convolutional-neural-networks linear-regression logistic-regression machine-learning regression reinforcement-learning tensorflow

Last synced: 14 May 2025

https://github.com/BinRoot/TensorFlow-Book

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

autoencoder book classification clustering convolutional-neural-networks linear-regression logistic-regression machine-learning regression reinforcement-learning tensorflow

Last synced: 20 Mar 2025

https://github.com/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.

autoencoder convolutional-neural-networks deep-learning gan machine-translation natural-language-processing recurrent-neural-networks style-transfer tensorflow-examples

Last synced: 14 May 2025

https://github.com/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.

autoencoder convolutional-neural-networks deep-learning gan machine-translation natural-language-processing recurrent-neural-networks style-transfer tensorflow-examples

Last synced: 15 May 2025

https://github.com/golbin/tensorflow-tutorials

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

autoencoder chatbot cnn deep-learning dqn gan inception mnist neural-network rnn seq2seq tensorflow tutorial word2vec

Last synced: 15 May 2025

https://github.com/golbin/TensorFlow-Tutorials

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

autoencoder chatbot cnn deep-learning dqn gan inception mnist neural-network rnn seq2seq tensorflow tutorial word2vec

Last synced: 01 May 2025

https://github.com/packtpublishing/advanced-deep-learning-with-keras

Advanced Deep Learning with Keras, published by Packt

autoencoder deep-learning gan keras reinforcement-learning vae

Last synced: 15 May 2025

https://github.com/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.

autoencoder deep-learning deep-svg library machine-learning python pytorch sketch-rnn sketches svg svg-animations svg-vae transformer

Last synced: 05 May 2025

https://github.com/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。

autoencoder chat gatewayworker manger passport rbac restful-api s template vue-admin-tamplate vue-element-admin vuejs websocket workerman

Last synced: 16 May 2025

https://github.com/phizaz/diffae

Official implementation of Diffusion Autoencoders

autoencoder cvpr2022 deep-learning diffusion-models ffhq latent-variable-models lsun

Last synced: 16 May 2025

https://github.com/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.

active-learning adversarial-attacks anogan anomaly-detection autoencoder concept-drift ensemble-learning explaination gan generative-adversarial-network graph-convolutional-networks interpretability lstm nettack rnn streaming time-series timeseries trees unsuperivsed

Last synced: 16 Mar 2025

https://github.com/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

autoencoder automl dcgan deep-learning densenet inception keras keras-tutorials machine-learning mobilenet resnet resnext senet shufflenet siamese-network squeezenet tensorflow-keras vgg xception

Last synced: 03 Apr 2025

https://github.com/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

autoencoder automl dcgan deep-learning densenet inception keras keras-tutorials machine-learning mobilenet resnet resnext senet shufflenet siamese-network squeezenet tensorflow-keras vgg xception

Last synced: 03 Oct 2025

https://github.com/jsn5/dancenet

DanceNet -💃💃Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)

autoencoder computer-vision generative-model keras lstm mixture-density-networks

Last synced: 19 Jul 2025

https://github.com/shayneobrien/generative-models

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

autoencoder began discriminator dragan fgan fishergan gan generative-adversarial-network generative-models infogan lsgan machine-learning mmgan nsgan python pytorch ragan vae wasserstein wgan

Last synced: 01 Apr 2025

https://github.com/hwalsuklee/tensorflow-mnist-vae

Tensorflow implementation of variational auto-encoder for MNIST

autoencoder dae denoising-autoencoders mnist tensorflow vae variational-autoencoder

Last synced: 05 Apr 2025

https://github.com/shobrook/sequitur

Library of autoencoders for sequential data

autoencoder autoencoder-model lstm pytorch sequence time-series

Last synced: 04 Apr 2025

https://github.com/lucashu1/link-prediction

Representation learning for link prediction within social networks

autoencoder graph-algorithms link-prediction networkx node2vec representation-learning social-network

Last synced: 04 Apr 2025

https://github.com/marian42/shapegan

Generative Adversarial Networks and Autoencoders for 3D Shapes

3d autoencoder gan generative-adversarial-network machine-learning pytorch sdf

Last synced: 01 Aug 2025

https://github.com/ymirsky/KitNET-py

KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.

anomaly-detection autoencoder incremental machine-learning neural-networks

Last synced: 20 Nov 2025

https://github.com/despoisj/latentspacevisualization

Visualization techniques for the latent space of a convolutional autoencoder in Keras

autoencoder deep-learning machine-learning neural-network visualization

Last synced: 22 Aug 2025

https://github.com/StefanDenn3r/Unsupervised_Anomaly_Detection_Brain_MRI

Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study

anomaly-detection autoencoder deep-learning gan mri segmentation unsupervised-learning variational-autoencoder

Last synced: 14 Mar 2025

https://github.com/greenelab/tybalt

Training and evaluating a variational autoencoder for pan-cancer gene expression data

analysis autoencoder cancer cancer-genomics deep-learning gene-expression script tool unsupervised-learning variational-autoencoder variational-autoencoders

Last synced: 06 Mar 2026

https://github.com/richzhang/splitbrainauto

Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. In CVPR, 2017.

autoencoder caffe unsupervised-learning

Last synced: 07 May 2025

https://github.com/tgsmith61591/smrt

Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.

autoencoder class-imbalance machine-learning neural-networks smote tensorflow vae variational-autoencoder

Last synced: 13 Apr 2025

https://github.com/cair/tmu

Implements the Tsetlin Machine, Coalesced Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features, drop clause, Type III Feedback, focused negative sampling, multi-task classifier, autoencoder, literal budget, and one-vs-one multi-class classifier. TMU is written in Python with wrappers for C and CUDA-based clause evaluation and updating.

absorbing-states autoencoder convolution cuda gpu incremental incremental-computation multi-output pattern-recognition propositional-logic regression relational-logic sparse tsetlin-machine

Last synced: 09 Apr 2025

https://github.com/galoisinc/dlkoopman

A general-purpose Python package for Koopman theory using deep learning.

autoencoder deep-learning dynamical-systems koopman

Last synced: 17 Aug 2025

https://github.com/florentf9/desom

:globe_with_meridians: Deep Embedded Self-Organizing Map: Joint Representation Learning and Self-Organization

autoencoder clustering deep-learning keras kohonen-map representation-learning self-organizing-map som visualization

Last synced: 10 Apr 2025

https://github.com/xiaohan2012/sdne-keras

Keras implementation of Structural Deep Network Embedding, KDD 2016

autoencoder keras link-prediction network-embedding visualization

Last synced: 02 Apr 2025

https://github.com/niazangels/vae-pokedex

The companion code for How to Autoencode your Pokemon

autoencoder deep-learning tensorflow tensorflow-tutorials

Last synced: 13 Oct 2025

https://github.com/arig23498/mae-scalable-vision-learners

A TensorFlow 2.x implementation of Masked Autoencoders Are Scalable Vision Learners

autoencoder keras masked-image-modeling self-supervised-learning tensorflow2

Last synced: 30 Apr 2025

https://github.com/royerlab/cytoself

Self-supervised models for encoding protein localization patterns from microscopy images

autoencoder deep-learning fluorescence imaging microscopy opencell protein pytorch self-supervised self-supervised-learning tensorflow

Last synced: 03 Jul 2025

https://github.com/kingfengji/eforest

This is the official implementation for the paper 'AutoEncoder by Forest'

autoencoder eforest encoderforest random-forest

Last synced: 26 Mar 2025

https://github.com/podgorskiy/vae

Example of vanilla VAE for face image generation at resolution 128x128 using pytorch.

autoencoder celeba celeba-dataset deep-learning deep-neural-networks deeplearning faces pytorch vae variational-autoencoder

Last synced: 15 Jun 2025

https://github.com/Novartis/peax

Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders

autoencoder data-visualization deep-learning epigenomics interactive-machine-learning pattern-search sequential-data

Last synced: 07 May 2025

https://github.com/novartis/peax

Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders

autoencoder data-visualization deep-learning epigenomics interactive-machine-learning pattern-search sequential-data

Last synced: 21 Jul 2025

https://github.com/greenelab/biobombe

BioBombe: Sequentially compressed gene expression features enhances biological signatures

autoencoder biobombe compression gene-expression gene-sets hetnet msigdb network tcga

Last synced: 13 Oct 2025

https://github.com/scofield7419/basic_nns_in_frameworks

several basic neural networks[mlp, autoencoder, CNNs, recurrentNN, recursiveNN] implements under several NN frameworks[ tensorflow, pytorch, theano, keras]

autoencoder cnns keras mlp pytorch recurrentnn recursivenn tensorflow theano

Last synced: 27 Apr 2025

https://github.com/alexeyev/abae-pytorch

PyTorch implementation of 'An Unsupervised Neural Attention Model for Aspect Extraction' by He et al. ACL2017'

aspect-extraction autoencoder nlp pytorch pytorch-implementation topic-modeling unsupervised-machine-learning

Last synced: 26 Apr 2025

https://github.com/tnybny/Frame-level-anomalies-in-videos

Frame level anomaly detection and localization in videos using auto-encoders

autoencoder computer-vision video video-anomaly-detection

Last synced: 04 Apr 2025

https://github.com/crowsonkb/vgg_loss

A VGG-based perceptual loss function for PyTorch.

autoencoder perceptual-losses pytorch vgg

Last synced: 12 Apr 2025

https://github.com/kevinzakka/vae-pytorch

AE and VAE Playground in PyTorch

autoencoder pytorch variational-autoencoder

Last synced: 24 Mar 2025

https://github.com/amoussawi/recoder

Large scale training of factorization models for Collaborative Filtering with PyTorch

autoencoder collaborative-filtering deep-learning machine-learning matrix-factorization pytorch recommender-system

Last synced: 19 Nov 2025

https://github.com/jldbc/tensorflow_ml_algorithms

Implementations of machine learning algorithms in Tensorflow: MLP, RNN, autoencoder, PageRank, KNN, K-Means, logistic regression, and OLS regression

algorithms autoencoder machine-learning-algorithms pagerank tensorflow

Last synced: 23 Jul 2025

https://github.com/jonasricker/aeroblade

[CVPR2024] AEROBLADE: Training-Free Detection of Latent Diffusion Images Using Autoencoder Reconstruction Error

autoencoder cvpr deepfake-detection diffusion-models latent-diffusion midjourney stable-diffusion

Last synced: 27 Jul 2025

https://github.com/BIMSBbioinfo/maui

Multi-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkit

autoencoder bioinformatics cancer-genomics deep-learning latent-factor-model multi-omics

Last synced: 13 Apr 2025

https://github.com/matlab-deep-learning/industrial-machinery-anomaly-detection

Extract features and detect anomalies in industrial machinery vibration data using a biLSTM autoencoder

autoencoder bilstm deep-learning example lstm matlab matlab-deep-learning

Last synced: 09 Jul 2025