autoencoders

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serengil / tensorflow-101

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TensorFlow 101: Introduction to Deep Learning

Updated Jul 9, 2025
Jupyter Notebook

curiousily / Deep-Learning-For-Hackers

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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
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aapatel09 / handson-unsupervised-learning

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

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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
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milaan9 / Deep_Learning_Algorithms_from_Scratch

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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
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AutoViML / featurewiz

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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

nathanhubens / Autoencoders

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Implementation of simple autoencoders networks with Keras

deep-learning keras neural-networks autoencoders

Updated Aug 4, 2020
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khanhnamle1994 / MetaRec

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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

vuptran / graph-representation-learning

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[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

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

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Place recognition with WiFi fingerprints using Autoencoders and Neural Networks

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

Updated Nov 6, 2017
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pcko1 / Deep-Drug-Coder

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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

gagan-iitb / CS550

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Machine Learning Course at IIT Bhilai

svm regression cnn gan supervised-learning classification rnn dimensionality-reduction decision-trees autoencoders anomaly-detection diffusion-models

Updated Nov 7, 2023
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harveyslash / Deep-Steganography

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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
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farhanchoudhary / Deep-Learning-A-Z-Hands-on-Artificial-Neural-Network

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Codes and Templates from the SuperDataScience Course

recurrent-neural-networks artificial-neural-networks convolutional-neural-networks boltzmann-machines autoencoders self-organizing-map superdatascience-course

Updated Oct 25, 2017
Python

hamaadshah / autoencoders_tensorflow

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Automatic feature engineering using deep learning and Bayesian inference using TensorFlow.

python machine-learning deep-learning tensorflow keras feature-extraction autoencoder bayesian-inference representation-learning feature-engineering autoencoders

Updated Feb 15, 2023
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HROlive / Applications-of-AI-for-Anomaly-Detection

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Nvidia DLI workshop on AI-based anomaly detection techniques using GPU-accelerated XGBoost, deep learning-based autoencoders, and generative adversarial networks (GANs) and then implement and compare supervised and unsupervised learning techniques.