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autoencoders

Here are 625 public repositories matching this topic...

serengil / tensorflow-101

TensorFlow 101: Introduction to Deep Learning

Updated Jul 9, 2025
Jupyter Notebook

curiousily / Deep-Learning-For-Hackers

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

python machine-learning deep-learning sentiment-analysis tensorflow keras artificial-intelligence neural-networks object-detection jupyter-notebooks autoencoders tensorflow-tutorial bert image-augmentation anomaly-detection time-series-classification time-series-forecasting lstms intent-recognition

Updated Apr 23, 2020
Jupyter Notebook

aapatel09 / handson-unsupervised-learning

Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)

machine-learning deep-learning clustering artificial-intelligence generative-adversarial-network unsupervised-learning autoencoders anomaly-detection

Updated Mar 1, 2026
Jupyter Notebook

AutoViML / featurewiz

Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadri. Collaborators welcome.

feature-selection feature-extraction xgboost feature-engineering autoencoders categorical-variables mrmr rfe featuretools rfecv feature-encoding best-encoders feature-engg

Updated Feb 19, 2025
Python

curiousily / Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras

iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data

deep-learning tensorflow keras credit-card-fraud autoencoders tensorflow-tutorial anomaly-detection

Updated Jun 28, 2019
Jupyter Notebook

MetaRec

khanhnamle1994 / MetaRec

PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models

django deep-learning tensorflow pytorch collaborative-filtering matrix-factorization ranking tensorboard boltzmann-machines recommender-systems autoencoders movielens-dataset meta-learning multilayer-perceptron cometml wandb

Updated Nov 21, 2022
Python

nathanhubens / Autoencoders

Implementation of simple autoencoders networks with Keras

deep-learning keras neural-networks autoencoders

Updated Aug 4, 2020
Jupyter Notebook

aqibsaeed / Place-Recognition-using-Autoencoders-and-NN

Place recognition with WiFi fingerprints using Autoencoders and Neural Networks

deep-learning neural-networks wifi-fingerprints autoencoders place-recognition

Updated Nov 6, 2017
Jupyter Notebook

vuptran / graph-representation-learning

[DSAA 2018] Autoencoders for Link Prediction and Semi-Supervised Node Classification

deep-learning semi-supervised-learning autoencoders network-embedding link-prediction graph-representation node-classification

Updated Jul 18, 2019
Python

CompVis / net2net

Network-to-Network Translation with Conditional Invertible Neural Networks

lightning pytorch generative-model inn gans autoencoders normalizing-flows pytorch-lightning streamlit

Updated Dec 20, 2022
Python

harveyslash / Deep-Steganography

Hiding Images within other images using Deep Learning

deep-neural-networks deep-learning tensorflow tensorflow-experiments convolutional-neural-networks autoencoders nips-2017

Updated Apr 25, 2018
Jupyter Notebook

pcko1 / Deep-Drug-Coder

A tensorflow.keras generative neural network for de novo drug design, first-authored in Nature Machine Intelligence while working at AstraZeneca.

neural-network drug-discovery molecules autoencoders lstm-neural-networks denovo-design smiles-strings

Updated Dec 5, 2025
Python

FutureXiang / ddae

[ICCV 2023 Oral] Official Implementation of "Denoising Diffusion Autoencoders are Unified Self-supervised Learners"

classification autoencoders diffusion generative-models self-supervised-learning diffusion-models

Updated Dec 1, 2025
Python

alexandru-dinu / cae

Compressive AutoEncoder.

autoencoders binarization lossy-image-compression

Updated Feb 25, 2025
Python

milaan9 / Deep_Learning_Algorithms_from_Scratch

This repository explores the variety of techniques and algorithms commonly used in deep learning and the implementation in MATLAB and PYTHON

data-science deep-learning linear-regression image-processing neural-networks image-captioning logistic-regression object-detection autoencoders adversarial-machine-learning rnn-pytorch cnn-classification tutor-milaan9 deep-learning-pytorch deep-learning-matlab deep-learning-python

Updated Dec 9, 2022
Jupyter Notebook

numaproj / numalogic

Collection of operational time series ML models and tools

python machine-learning deep-learning time-series outlier-detection unsupervised-learning autoencoders hacktoberfest variational-autoencoder

Updated Oct 15, 2024
Python

jbramburger / DataDrivenDynSyst

Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems

Updated Oct 28, 2025
Jupyter Notebook

yinboc / dito

Official PyTorch Implementation of "Diffusion Autoencoders are Scalable Image Tokenizers"

autoencoders diffusion-models

Updated Jan 31, 2025
Python

cwkx / GON

Gradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder

machine-learning neural-networks networks implicit representation siren unsupervised-learning autoencoders generative-models

Updated Feb 4, 2021
Python

rezacsedu / Deep-Learning-for-Clustering-in-Bioinformatics

Deep Learning-based Clustering Approaches for Bioinformatics

bioinformatics deep-learning neural-networks convolutional-autoencoder representation-learning autoencoders lstm-neural-networks variational-autoencoder clustering-analysis

Updated Jan 28, 2021
Jupyter Notebook

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