Projects in Awesome Lists tagged with autoencoders
A curated list of projects in awesome lists tagged with autoencoders .
https://github.com/serengil/tensorflow-101
TensorFlow 101: Introduction to Deep Learning
age-prediction autoencoders automl celebrity-recognition convolutional-neural-networks deep-learning deepface emotion-analysis face-recognition facenet facial-expression-recognition gender-prediction machine-learning neural-networks openface python style-transfer tensorflow transfer-learning vgg-face
Last synced: 14 May 2025
https://github.com/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)
anomaly-detection artificial-intelligence autoencoders bert deep-learning image-augmentation intent-recognition jupyter-notebooks keras lstms machine-learning neural-networks object-detection python sentiment-analysis tensorflow tensorflow-tutorial time-series-classification time-series-forecasting
Last synced: 05 May 2025
https://github.com/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)
anomaly-detection artificial-intelligence autoencoders bert deep-learning image-augmentation intent-recognition jupyter-notebooks keras lstms machine-learning neural-networks object-detection python sentiment-analysis tensorflow tensorflow-tutorial time-series-classification time-series-forecasting
Last synced: 12 Apr 2025
https://github.com/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.
autoencoders best-encoders categorical-variables feature-encoding feature-engg feature-engineering feature-extraction feature-selection featuretools mrmr rfe rfecv xgboost
Last synced: 14 May 2025
https://github.com/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
anomaly-detection autoencoders credit-card-fraud deep-learning keras tensorflow tensorflow-tutorial
Last synced: 05 Apr 2025
https://github.com/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
anomaly-detection autoencoders credit-card-fraud deep-learning keras tensorflow tensorflow-tutorial
Last synced: 14 Mar 2025
https://github.com/khanhnamle1994/MetaRec
PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models
autoencoders boltzmann-machines collaborative-filtering cometml deep-learning django matrix-factorization meta-learning movielens-dataset multilayer-perceptron pytorch ranking recommender-systems tensorboard tensorflow wandb
Last synced: 29 Apr 2025
https://github.com/khanhnamle1994/metarec
PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models
autoencoders boltzmann-machines collaborative-filtering cometml deep-learning django matrix-factorization meta-learning movielens-dataset multilayer-perceptron pytorch ranking recommender-systems tensorboard tensorflow wandb
Last synced: 07 Apr 2025
https://github.com/aqibsaeed/Place-Recognition-using-Autoencoders-and-NN
Place recognition with WiFi fingerprints using Autoencoders and Neural Networks
autoencoders deep-learning neural-networks place-recognition wifi-fingerprints
Last synced: 19 Jul 2025
https://github.com/aqibsaeed/place-recognition-using-autoencoders-and-nn
Place recognition with WiFi fingerprints using Autoencoders and Neural Networks
autoencoders deep-learning neural-networks place-recognition wifi-fingerprints
Last synced: 07 Jul 2025
https://github.com/compvis/net2net
Network-to-Network Translation with Conditional Invertible Neural Networks
autoencoders gans generative-model inn lightning normalizing-flows pytorch pytorch-lightning streamlit
Last synced: 25 Jun 2025
https://github.com/harveyslash/deep-steganography
Hiding Images within other images using Deep Learning
autoencoders convolutional-neural-networks deep-learning deep-neural-networks nips-2017 tensorflow tensorflow-experiments
Last synced: 02 May 2025
https://github.com/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
adversarial-machine-learning autoencoders cnn-classification data-science deep-learning deep-learning-matlab deep-learning-python deep-learning-pytorch image-captioning image-processing linear-regression logistic-regression neural-networks object-detection rnn-pytorch tutor-milaan9
Last synced: 25 Sep 2025
https://github.com/numaproj/numalogic
Collection of operational time series ML models and tools
autoencoders deep-learning hacktoberfest machine-learning outlier-detection python time-series unsupervised-learning variational-autoencoder
Last synced: 15 May 2025
https://github.com/cwkx/GON
Gradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder
autoencoders generative-models implicit machine-learning networks neural-networks representation siren unsupervised-learning
Last synced: 08 May 2025
https://github.com/nmichlo/disent
🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervised, weakly supervised and unsupervised methods ▸ Easily configured and run with Hydra config ▸ Inspired by disentanglement_lib
autoencoders configurable datasets disentangled-representations disentanglement metric-learning metrics python python3 pytorch pytorch-lightning representation-learning vae
Last synced: 09 Oct 2025
https://github.com/jbramburger/DataDrivenDynSyst
Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems
autoencoder autoencoder-neural-network autoencoders conservation-laws data-science dynamic-mode-decomposition dynamical-systems extended-dynamic-mode-decomposition forecasting kernel-methods machine-learning neural-network physics-informed-learning physics-informed-neural-networks poincare-map sindy sindy-algorithm stroboscopic-map time-delay universal-approximation-theorem
Last synced: 01 May 2025
https://github.com/haoliuhl/language-quantized-autoencoders
Language Quantized AutoEncoders
autoencoders bert large-language-models multimodal roberta vq vqvae
Last synced: 16 Mar 2025
https://github.com/ethanjameslew/autokoopman
AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.
autoencoders data-driven-dynamics deep-learning dynamic-mode-decomposition dynamical-systems koopman koopman-operators reachability sindy system-identification
Last synced: 16 Jun 2025
https://github.com/greenelab/adage
Data and code related to the paper "ADAGE-Based Integration of Publicly Available Pseudomonas aeruginosa..." Jie Tan, et al · mSystems · 2016
autoencoders data dataset denoising-autoencoders gene-expression machine-learning manuscript methodology neural-networks paper pseudomonas-aeruginosa research supplement
Last synced: 09 Oct 2025
https://github.com/mpatacchiola/y-ae
Official Tensorflow implementation of the paper "Y-Autoencoders: disentangling latent representations via sequential-encoding", Pattern Recognition Letters (2020)
autoencoders disentangled-representations generative-model mnist paper tensorflow y-autoencoder
Last synced: 29 Oct 2025
https://github.com/paucablop/chemotools
Integrate your chemometric tools with the scikit-learn API 🧪 🤖
artificial-intelligence autoencoders chemometrics deep-learning hacktoberfest ir-spectroscopy machine-learning multivariate-analysis nir-spectroscopy python raman-spectroscopy scikit-learn sklearn spectra spectroscopy
Last synced: 06 Apr 2025
https://github.com/imkett/ctg-latentaes
[Paperlist] Awesome paper list of controllable text generation via latent auto-encoders. Contributions of any kind are welcome.
autoencoders controllable-generation generative-model latent-variable-models natural-language-processing paperlist representation-learning text-generation vae variational-autoencoder
Last synced: 04 Jan 2026
https://github.com/hrolive/applications-of-ai-for-anomaly-detection
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.
anomaly-detection autoencoders deep-learning generative-adversarial-network keras machine-learning notebook nvidia-gpu pandas python rapids tensorflow xgboost
Last synced: 12 May 2025
https://github.com/greenelab/daps
Denoising Autoencoders for Phenotype Stratification
analysis autoencoders machine-learning methodology neural-networks
Last synced: 08 Oct 2025
https://github.com/christopher-beckham/amr
Official adversarial mixup resynthesis repository
acai adversarial-mixup-resynthesis autoencoders celeba-dataset kmnist mixup mnist-dataset representation-learning svhn-dataset unsupervised-learning
Last synced: 30 Jul 2025
https://github.com/the-ai-summer/introduction-to-deep-learning-and-neural-networks-course
Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io
ai autoencoders convolutional-neural-networks data-science deep-learning deep-neural-networks generative-adversarial-network graph-neural-networks machine-learning pytorch recurrent-neural-networks transformers
Last synced: 09 Jul 2025
https://github.com/warvito/normative-modelling-using-deep-autoencoders
Normative modelling using deep autoencoders: a multi-cohort study on mild cognitive impairment and Alzheimer’s disease
autoencoder autoencoders deep-autoencoders deep-learning deep-neural-networks neuroimaging normative-modelling
Last synced: 06 May 2025
https://github.com/ndrplz/transforming-autoencoders
Transforming Autoencoder (Hinton et al.) implementation in TensorFlow. A way to get hands dirty with Hinton's capsules.
autoencoders capsule-network deep-learning tensorflow transforming-autoencoders
Last synced: 04 Oct 2025
https://github.com/bchao1/fun-with-mnist
Playing with MNIST. Machine Learning. Generative Models.
acgan autoencoders began conditonal-gan ebgan gan generative-adversarial-network infogan lsgan mnist pca tsne vae wgan wgan-gp
Last synced: 13 Jun 2025
https://github.com/mind-the-pineapple/adversarial-autoencoder
Tensorflow 2.0 implementation of Adversarial Autoencoders
adversarial-autoencoder adversarial-autoencoders autoencoder autoencoder-mnist autoencoders mnist
Last synced: 06 Oct 2025
https://github.com/lgalke/aae-recommender
Adversarial Autoencoders for Recommendation Tasks
autoencoders neural-networks recommender-systems
Last synced: 27 Dec 2025
https://github.com/asnelt/mmae
Package for Multimodal Autoencoders in TensorFlow / Keras
autoencoder autoencoders bregman-distance deep-learning keras keras-models keras-tensorflow multimodal-deep-learning multimodal-learning tensorflow
Last synced: 26 Oct 2025
https://github.com/rakibhhridoy/anomalydetectionintimeseriesdata-keras
Statistics, signal processing, finance, econometrics, manufacturing, networking[disambiguation needed] and data mining, anomaly detection (also outlier detection) is the identification of rare items, events or observations which raise suspicions by differing significantly from the majority of the data. Typically the anomalous items will translate to some kind of problem such as bank fraud, a structural defect, medical problems or errors in a text. Anomalies are also referred to as outliers, novelties, noise, deviations and exceptions.
anomaly-detection autoencoder autoencoders deep-learning dropout keras lstm machine-learning numpy pandas python regularization tensorflow threshold
Last synced: 04 Oct 2025
https://github.com/animikhaich/semantic-segmentation-using-autoencoders
Lightweight and Fast Person Segmentation using Autoencoders (Trained Weights Included)
autoencoder autoencoders cnn cnn-keras convolutional-neural-networks jupyter jupyter-notebook keras python segmentation semantic-segmentation tensorflow tensorflow2
Last synced: 10 Apr 2025
https://github.com/petrobras/wprautoencoders
This is one of Petrobras' open repositories on GitHub. It contains the WPRAutoencoders project which encompasses a wellbore pressure response generator, a dataset of 20.000 synthetic pressure responses and an autoencoder neural network capable of clustering this data based on transmissibility and reservoir geometry.
autoencoders clustering data-science deep-learning machine-learning well-testing
Last synced: 26 Jul 2025
https://github.com/shaharazulay/adversarial-autoencoder-classifier
PyTorch implementations of Non-parametric Unsupervised Classification with Adversarial Autoencoders
autoencoders deep generative-adversarial-network pytorch unsuper
Last synced: 24 Apr 2025
https://github.com/wecarsoniv/augmented-pca
Repository for the AugmentedPCA Python package.
adversarial-autoencoder adversarial-autoencoders adversarial-machine-learning augmented-pca augmentedpca autoencoder autoencoders dimension-reduction dimensionality-reduction factor-model factor-models fair-machine-learning linear-models machine-learning pca principal-component-analysis representation-learning supervised-autoencoder supervised-autoencoders
Last synced: 04 May 2025
https://github.com/gtesei/deepexperiments
TensorFlow/Keras experiments on computer vision and natural language processing
alexnet autoencoders computer-vision convolution convolutional-neural-networks deep-learning dropout generative-adversarial-network keras keras-neural-networks mnist natural-language-processing neural-networks regularization tensorflow tensorflow-experiments tensorflow-tutorials word2vec word2vec-model
Last synced: 24 Oct 2025
https://github.com/alleninstitute/coupledae-patchseq
Multimodal data alignment and cell type analysis with coupled autoencoders.
autoencoders celltypes multimodal patchseq representation-learning
Last synced: 11 Apr 2025
https://github.com/codeperfectplus/autoencoders
Deep convolutional autoencoder for image denoising
autoencoder autoencoder-mnist autoencoders deep-learning denoising keras-autoencoders mnist mnist-dataset tensorflow2
Last synced: 13 May 2025
https://github.com/arjuntheprogrammer/theschoolofai
Projects for The School of AI
alphazero autoencoders batch-normalization data-augmentation densenet enas face-recognition gan inception-network lstm-and-gru neural-architecture policy-gradients regularization rnn siamese-network superconvergence transfer-learning yolo
Last synced: 09 Oct 2025
https://github.com/tslu1s/segmentae
SegmentAE: A Python Library for Anomaly Detection Optimization
anomaly-detection autoencoder-segmentation autoencoders clustering data-processing data-science deep-learning fraud-detection machine-learning neural-networks novelty-detection
Last synced: 19 Oct 2025
https://github.com/mrdvince/autoencoders
Autoencoders are neural networks used for data compression, image de-noising, and dimensionality reduction. Using PyTorch.
autoencoder autoencoders cnn convolution-autoencoders convolutional-neural-networks data-compression deeplearning dimensionality-reduction linear-autoencoders neural-networks python3 pytorch udacity udacity-nanodegree
Last synced: 11 Apr 2025
https://github.com/shyamsn97/barebones-ai
Machine Learning and Deep Learning algorithms built from scratch
autoencoders clustering deep-learning deep-learning-algorithms hacktoberfest2018 machine-learning-algorithms pca-analysis supervised-learning unsupervised-learning
Last synced: 19 Jun 2025
https://github.com/dhavaltaunk08/text-segmentation-in-images
This project aimed to perform text segmentation in images using AutoEncoders.
autoencoders deep-learning ipython-notebook python3 text-segmentation
Last synced: 18 Aug 2025
https://github.com/siavashshams/neural-networks-and-deep-learning-course-projects
Projects for the Neural Networks and Deep Learning course
autoencoders bidirectional-associative-memory dimensionality-reduction madaline mexican-hat pca perceptron som
Last synced: 23 Apr 2025
https://github.com/diegoperea20/deep_learning
deep learning , aplication of deep learning , time line , networks deep, autoencoders etc.
artificial-intelligence artificial-neural-networks autoencoders deep-learning regression uao
Last synced: 13 Jun 2025
https://github.com/abhilash1910/datahour_diffusion
Presentation of the session on Diffusion Principles on behalf of Analytics Vidhya datahour. Youtube: https://www.youtube.com/watch?v=DIdbsfzK7IUtube:
autoencoders clip diffusion keras tensorflow
Last synced: 12 Jul 2025
https://github.com/saman-nia/deep-learning-for-dimensionality-reduction
Deep Learning for Dimensionality Reduction with Tensorflow
autoencoders deep-learning dimensionality-reduction tensorflow
Last synced: 02 Mar 2025
https://github.com/darshangowda0/musicalinstrumentsclassification
Identification of predominant musical instrument in a 3s audio excerpt.
audio-processing autoencoders cnn computer-vision machine-learning pca svm-classifier tensorflow
Last synced: 14 Oct 2025
https://github.com/nishant2018/autoencoder-generative-ai-mnist
Autoencoders are a type of neural network used for unsupervised learning. In unsupervised learning, the model learns patterns from the data without using labeled outcomes. The goal is to find the underlying structure or representation of the data.
autoencoder autoencoder-mnist autoencoders generative-ai
Last synced: 26 Feb 2025
https://github.com/xnought/introduction-to-autoencoders
Visualize autoencoder model training right in your browser. VISxAI 2021
article autoencoders svelte visualization
Last synced: 25 Feb 2025
https://github.com/jwcarman/netwerx
A lightweight, extensible deep learning library for Java
ai autoencoders binary-classification machine-learning multi-class-classification neural-networks regression-models
Last synced: 29 Jun 2025
https://github.com/jason-cky/rl_vae-pytorch
Pipeline to generate images and to train a Variational Autoencoder (VAE) for use in Deep RL environments
autoencoders pytorch-implementation reinforcement-learning reinforcement-learning-environments vae
Last synced: 14 Mar 2025
https://github.com/iamfarrokhnejad/wine-quality-classification
Wine Quality Classification Using Deep Learning
algorithm-optimization autoencoder autoencoders classification cnn deep-learning deep-neural-networks deeplearning lstm optimization python pytorch recurrent-neural-network recurrent-neural-networks rnn
Last synced: 28 Mar 2025
https://github.com/nishant2018/convolutional-autoencoder-cifar10-gen-ai
Autoencoders are a type of neural network used to learn efficient codings of unlabeled data. They work by compressing the input into a latent space representation and then reconstructing the output from this representation.
autoencoder autoencoder-cifar10 autoencoders
Last synced: 26 Feb 2025
https://github.com/anshlulla/melodify
Exploring Generative Music using Autoencoders
autoencoders python tensorflow
Last synced: 26 Mar 2025
https://github.com/nishant2018/variational-autoencoder-a.encoder-gen.ai
Variational Autoencoders (VAEs) are a type of generative model that extends traditional autoencoders by adding a probabilistic spin to their latent space representation.
autoencoder autoencoders generative-ai variational-autoencoder
Last synced: 26 Feb 2025
https://github.com/prakhar-ff13/learning-tensorflow
Repository containing TensorFlow tutorial Notebooks
autoencoders cnn deep-learning machine-learning mlp mlp-networks neural-network rnn tensorflow tensorflow-tutorials
Last synced: 23 Mar 2025
https://github.com/rakibhhridoy/classifyoutersignals-spacesignals
Space signals comes with huge noise in it. For analyzing the signals we have to make sure there is as less noise as possible. Detecting the noise and denoising the signals is quite hard to do. As a Data Science Analytics one should have the capability to handling any kind of dataset.
autoencoders deep-learning denoising keras lstm machine-learning python signal-processing space space-signals
Last synced: 14 May 2025
https://github.com/sayannath/noise-reduction-using-auto-encoders
Noise Reduction of Images using Auto Encoders.
autoencoder-mnist autoencoders keras tensorflow tflite
Last synced: 30 Mar 2025
https://github.com/antonio-f/autoencoders_tf2
Autoencoders with TensorFlow 2
autoencoders convolutional-autoencoder denoising-autoencoder image-morphing image-retrieval simple-autoencoder tensorflow2
Last synced: 26 Jul 2025
https://github.com/ardawanism/autoencoder_ml_kntu_spring2024
In this repo, a clean and efficient implementation of Fully-Connected or Dense Autoencoder is provided. The code alongside the video content are created for Machine Learning course instructed at Khajeh Nasir Toosi University of Technology (KNTU).
autoencoder autoencoder-neural-network autoencoders deep-learning deep-neural-networks machine-learning
Last synced: 16 Jun 2025
https://github.com/mehrab-kalantari/autoencoder-image-retrieval
Image retrieval using a simple autoencoder on CIFAR-10 dataset
autoencoder autoencoders cifar-10 image-reconstruction image-retrieval
Last synced: 02 Dec 2025
https://github.com/baha2rm98/human_data_labs
Human Data Analytics Labs
attention-mechanism autoencoders cnn deep-learning rnn unipd
Last synced: 16 Sep 2025
https://github.com/edoardopona/old-neural-networks-with-tensorflow
My work with Tensorflow and neural networks, including convolutional neural networks, autoencoders, and random experiments
autoencoders convolutional-neural-networks machine-learning neural-network python tensorflow
Last synced: 10 Jun 2025
https://github.com/mohit1106/fraud-detection-in-financial-transactions
an anomaly detection system on 284,807 transactions, achieving an AUC of ~0.972 with CNNs and Autoencoders.
autoencoders cnn-model isolation-forest keras python scikit-learn tensorflow
Last synced: 30 Dec 2025
https://github.com/ar-version2/intelligent-sap-financial-integrity-monitor
Intelligent SAP Financial Integrity Monitor (POC): Hybrid AI/ML (IF, LOF, AE) & rules-based anomaly detection on SAP FAGLFLEXA data using Python/Streamlit
anomaly-detection anomaly-detection-algorithm autoencoders btp dashboard fico finance-application fiori keras-tensorflow machine-learning-algorithms odata python sap sap-btp streamlit streamlit-dashboard unsupervised-machine-learning
Last synced: 07 May 2025
https://github.com/oleksiilatypov/practical-deep-learning-with-pytorch
DataRoot Labs Practical Deep Learning with PyTorch
attention attention-mechanism autoencoders cnn gan pytorch rnn torchscript transformers
Last synced: 16 Jun 2025
https://github.com/arjunravi26/deep_learning
This repo contains codes and notes to learn deep learning
ann autoencoders cnn deep-learning deepseek-r1 lstm numpy rnn-tensorflow tensorflow transformer
Last synced: 11 Jun 2025
https://github.com/sk-g/aspri
AS Path Relation Inference using neural networks
as-path autoencoders autonomous-systems bgp computer-networks machine-learning neural-network routing-tables word2vec
Last synced: 03 Apr 2025
https://github.com/giuliotaralli/pytorch_deeplearning
This repository contains exercises for learning the PyTorch library and Deep Learning models. Some of these topics were covered during the university course "Neural Networks and Deep Learning", while others were explored independently to deepen expertise in the field.
autoencoders convolutional-neural-networks deep-learning multilayer-perceptron python pytorch variational-autoencoder
Last synced: 03 Apr 2025
https://github.com/sankhamukherjee/vae
Repository containing experimental code for Variational Autoencoders
autoencoders convolutional-autoencoders tensorflow-examples tensorflow2 variational-autoencoder
Last synced: 12 Sep 2025
https://github.com/jeugregg/ocean_protocol_eth_pred
Cryptocurrency AI prediction model
ai autoencoders blockchain cryptocurrency data-challenge ethereum exploration ocean-protocol
Last synced: 02 Mar 2025
https://github.com/kris96tian/momics_thesis
COMPARISON OF MULTI-OMICS INTEGRATION METHODS
autoencoders bioinformatics graph-convolutional-networks mixomics mofaplus mofax multi-omics-integration
Last synced: 03 Aug 2025
https://github.com/pankajr141/gimmick
Its a image generation library which learns to generate patterns based on training data
autoencoders computer-vision gan
Last synced: 05 Mar 2025
https://github.com/p16i/generative-models
autoencoders deep-learning generative-models tensorflow
Last synced: 22 Mar 2025
https://github.com/helyousfi/machine-learning
This repo contains machine different learning algorithms.
autoencoders classification-algorithms deep-learning-algorithms kmeans-clustering-algorithm knn-algorithm machine-learning-algorithms neural-networks regression-algorithms support-vector-machines
Last synced: 15 Mar 2025
https://github.com/sartajbhuvaji/data-science-research
Data Science Research at Seattle University under Dr.Wan Bae. We try to mitigate class imbalance problem in asthama dataset using multiple algorithms.
autoencoders private-repository research seattleu synthetic-dataset-generation
Last synced: 05 Mar 2025
https://github.com/siris2314/autovariate
A python package made to streamline the usage of Variational Autoencoders, understand the algorithm first before using this package
autoencoders machine-learning machine-learning-algorithms natural-language-processing nlp nlp-machine-learning python python-project python3 pythonpackage pytorch pytorch-implmention variational-autoencoder variational-inference
Last synced: 25 Dec 2025
https://github.com/mohit1106/Fraud-Detection-In-Financial-Transactions
an anomaly detection system on 284,807 transactions, achieving an AUC of ~0.972 with CNNs and Autoencoders.
autoencoders cnn-model isolation-forest keras python scikit-learn tensorflow
Last synced: 17 Oct 2025
https://github.com/zhiwu-zhang-lab/genetic_spectral_autoencoder
This repository if for creating auto-encoders easily. The main focus of the auto-encoders on this page is for genetic and spectral data analysis but likely could be used for any high dimensional data
auto-encoder auto-encoders autoencoder autoencoders dimensionality-reduction genetics genomics gwas keras machine-learning machine-learning-algorithms nir nonlinear population-structure spectral-analysis spectral-clustering unsupervised unsupervised-clustering unsupervised-learning unsupervised-machine-learning
Last synced: 03 Jan 2026
https://github.com/sartajbhuvaji/dittto
A PyPI library for generating Synthetic Tabular Data
autoencoders data-augmentation pip python-package synthetic-data synthetic-data-generation tabular-data-augmentation tensorflow
Last synced: 10 Jun 2025
https://github.com/12danielll/neural_networks_project
The project focuses on analyzing neural activity data to classify neuron types (spiny and aspiny). It integrates unsupervised learning methods (PCA, Autoencoders) and supervised learning models (Logistic Regression, MLP) to build accurate classifiers that effectively analyze neurons' electrical responses.
2d-and-3d-visualizations autoencoders classifier-evaluation cortical-neurons data-compression gradient-descent high-dimensional-neural-datasets logistic-regression mlp mlp-networks neural-classification neuron neuronal-network pca-analysis perceptron roc-auc stochastic-gradient-descent supervised-learning unsupervised-learning
Last synced: 16 Mar 2025
https://github.com/edawson/assisi
A somatic mutation signature simulator
autoencoders mutational-signatures simulation snvs
Last synced: 19 Nov 2025
https://github.com/hayatiyrtgl/autoencoder_deblurring
Python autoencoder to remove blur from images
autoencoder autoencoder-neural-network autoencoders keras python python3 tensroflow
Last synced: 08 Apr 2025
https://github.com/alyssonmach/tf-autoencoders-algorithm
friendly examples of using autoencoders with different applications
autoencoders deep-learning tensorflow
Last synced: 11 Apr 2025
https://github.com/danny-1k/speech_ae
Speech reconstruction and compression with autoencoders
autoencoders deep-learning pytorch speech speech-compression speech-reconstruction
Last synced: 23 Jun 2025
https://github.com/justdvnsh/d-player
AI powered Media Player app - android
android android-application android-studio autoencoders clustering clustering-algorith java machine-learning python
Last synced: 01 Apr 2025
https://github.com/dansolombrino/kindergarten-vq-vae
Improving disentanglement properties in off-the-shelf Transformer models
autoencoders deep-learning deep-neural-networks natural-language-processing nlp transformers
Last synced: 01 Apr 2025
https://github.com/supersjgk/auto_encoders
AutoEncoders -TF -Keras - Fashion_MNIST
autoencoders convolutional-autoencoders fashion-mnist-dataset keras-tensorflow tensorflow
Last synced: 19 Mar 2025
https://github.com/antonio-f/variational_autoencoder
Variational Autoencoder using Keras
autoencoders deep-learning digits jupyter-notebook keras mnist python variational-autoencoder visualization
Last synced: 30 Mar 2025
https://github.com/the-pinbo/dimensionalityredux-pca-vs-autoencoders
Comparative study of PCA and Autoencoders for effective dimensionality reduction, assessed through PSNR and SSIM metrics.
autoencoder-mnist autoencoders data-analysis dimensionality-reduction image-compression mnist neural-networks pca psnr ssim
Last synced: 13 May 2025
https://github.com/rohankalbag/analysis-of-autoencoders-and-applications
Course Project - Machine Learning - Spring Semester 2022 - Indian Institute of Technology Bombay
autoencoders jupyter machine-learning pca python3 tensorflow
Last synced: 28 Feb 2025
https://github.com/manas1820/wannacry_ransomware
Our goal is to extract and educate a version capable of reconstructing malware as flawlessly as possible using auto-encoders and to identify the ransomware an additional layer is present to classify whether it is an ransomware or not.
asm autoencoders deep-learning ransomware ransomware-detection
Last synced: 03 Mar 2025
