GitHub topics: autoencoder

Repositories

calebclayreagor/MesenCoder

Mesenchyme autoencoder for development and cancer

Language: Jupyter Notebook - Size: 580 MB - Last synced at: about 1 hour ago - Pushed at: about 3 hours ago - Stars: 1 - Forks: 0

kailas711/AI-Origins

Blog series based on fundamental deep learning concepts for my practice.

Language: Jupyter Notebook - Size: 3.44 MB - Last synced at: about 10 hours ago - Pushed at: about 12 hours ago - Stars: 0 - Forks: 0

riyadhrodna/MarketGuardian

📊 Detect financial anomalies using advanced machine learning to uncover unusual trading patterns and prevent fraud in real-time across various markets.

Language: Python - Size: 2.12 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

andrew1550/Breast-Cancer-prediction-using-machine-learning

🔍 Predict breast cancer outcomes using machine learning, leveraging image-derived features to classify masses as malignant or benign for improved healthcare decisions.

Language: Jupyter Notebook - Size: 2.54 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

Ronak786943/Movie-Recommendation-System

🎥 Build a smart Movie Recommendation System to enhance user experience with personalized suggestions and efficient search functionality.

Language: Jupyter Notebook - Size: 13.8 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

waheeb71/nids-anomaly

Real-time Network Intrusion Detection System (NIDS) using AI for anomaly detection and host compromise alerts.

Language: Python - Size: 6.78 MB - Last synced at: 3 days ago - Pushed at: 4 days ago - Stars: 1 - Forks: 1

JulesBelveze/time-series-autoencoder

PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series

Language: Python - Size: 345 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 704 - Forks: 68

CTCycle/FEXT-Autoencoder

An autoencoder model to extract features from images and obtain their compressed vector representation, inspired by the convolutional VVG16 architecture

Language: Python - Size: 85 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 1 - Forks: 0

arssite/Datalysis

Contains Deep Learning Content and Algorithm. ANN_CNN_RNN(LSTM-GRU)_AUTOENCODER

Language: Jupyter Notebook - Size: 10.2 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 8 - Forks: 2

PacktPublishing/Advanced-Deep-Learning-with-Keras

Advanced Deep Learning with Keras, published by Packt

Language: Python - Size: 700 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 1,955 - Forks: 1,012

TAYMESMAEE/Anomaly-Detection-in-Transactions

Anomaly detection in transactions means identifying unusual or unexpected patterns within transactions or related activities. These patterns, known as anomalies or outliers, deviate significantly from the expected norm and could indicate irregular or fraudulent behaviour.

Language: Python - Size: 41 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 2 - Forks: 1

roicort/rEAMember

Entropic Associative Memory (EAM) Framework

Language: Python - Size: 109 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

AmirhosseinHonardoust/Teaching-Neural-Networks-to-Imagine-Tables

A comprehensive deep dive into how Variational Autoencoders (VAEs) learn to generate realistic synthetic tabular data. This project explores latent space learning, probabilistic modeling, and neural creativity, combining data privacy, interpretability, and generative AI techniques in a structured format.

Size: 19.5 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 2 - Forks: 0

selvatharrun/DSI

deep Learning Basics Repository This repository serves as a collection of foundational materials from my college deep learning courses. It includes lecture notes, code snippets, assignments, and resources covering the essentials of deep learning, such as neural networks, activation functions, backpropagation, optimization techniques.

Language: Jupyter Notebook - Size: 753 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

yzhao062/pyod

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

Language: Python - Size: 40.6 MB - Last synced at: 7 days ago - Pushed at: 21 days ago - Stars: 9,569 - Forks: 1,453

CrowSerainance/LiveActivityApp

Windows utility to schedule keystrokes into any app window and run visual countdown alarms. Now with Tray Mode (minimize to tray with Show/Start-Stop/Exit) and an inline editor for scheduled items.

Language: C# - Size: 180 KB - Last synced at: 7 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

SimoneFaraulo/GenerativeAI-Foundations

This repository contains a collection of PyTorch scripts that implement and explore the fundamental concepts of probability, information theory, and generative modeling from scratch. It serves as a practical "cookbook" for understanding the building blocks of modern generative AI.

Language: Python - Size: 83 KB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 2 - Forks: 0

mathLab/EZyRB

Easy Reduced Basis method

Language: Jupyter Notebook - Size: 37 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 88 - Forks: 68

ContextLab/giblet-responses

Contextual Dynamics Lab (Dartmouth) code that was originally related to the CCN Algonauts 2021 challenge (but that has now evolved substantially)

Language: Python - Size: 57 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 1 - Forks: 1

kayua/MalDataGen

SynDataGen is an advanced Python framework for generating and evaluating synthetic tabular datasets using modern generative models, including diffusion and adversarial architectures.

Language: Python - Size: 236 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 35 - Forks: 5

Shohail-Ismail/AquaSentinel-Prototype

AquaSentinel is a prototype designed to detect anomalous vital levels of deep-sea divers, developed for the EYH university competition, for which it was awarded a Distinction. AquaSentinel is a component of our project 'VitaLink': a concept dive computer that analyses vitals data and alerts surface teams in case of an anomalous readings.

Language: Python - Size: 13.5 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0

tjards/latent_linear_manifolds

DNN-based autoencoder to learn the linear essence of swarm dynamics.

Language: Python - Size: 27.1 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 0 - Forks: 0

ParamThakkar123/ML_and_DL-algos

This repository contains all the machine learning and deep learning model I have implemented using various frameworks like keras, tensorflow, scikit-learn, pytorch, etc.

Language: Jupyter Notebook - Size: 3.03 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 0 - Forks: 0

MrForExample/DC_SSDAE

Deep Compression Single-Step Diffusion Autoencoder

Language: Python - Size: 151 KB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 1 - Forks: 0

pmelchior/spender

Spectrum encoder and decoder

Language: Python - Size: 402 KB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 46 - Forks: 15

njPlanck/Auto-Encoder---Extracting-GAN-Model-Fingerprints

This project aims at training a denoiser to supress or removel GAN model fingerprints from the finger-vein dataset from our PAD project. This method was first proposed by Neves et al, in their paper "GANprintR: Improved Fakes and Evaluation of the State of the Art in Face Manipulation Detection".

Language: Python - Size: 3.31 MB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 0 - Forks: 0

GiantTreeLP/emoji-auto-encoder

Compresses Twemoji emojis down to 32 bytes (8 4-bit floating point numbers).

Language: Python - Size: 3.06 MB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 1 - Forks: 0

sylvaticus/BetaML.jl

Beta Machine Learning Toolkit

Language: Julia - Size: 36.4 MB - Last synced at: 6 days ago - Pushed at: 17 days ago - Stars: 104 - Forks: 14

SepAbs/MNIST-Dataset-of-Handwritten-Clustering

Applied K-Means, Mini Batch K-Means, DBSCAN, and HDBSCAN on autoencoder-extracted MNIST features.

Language: Jupyter Notebook - Size: 10.8 MB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 1 - Forks: 0

SepAbs/MNIST-Dataset-of-Handwritten-Classification-by-Multi-Layer-Perceptron

Extracted features with autoencoder and classified MNIST digits using MLP achieving ~60% accuracy.

Language: Jupyter Notebook - Size: 9.42 MB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 1 - Forks: 0

samuelveersingh/FAEclust

Cluster Analysis of Multi-Dimensional Functional Data

Language: Jupyter Notebook - Size: 1.39 MB - Last synced at: 17 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 0

jbramburger/DataDrivenDynSyst

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

Language: Jupyter Notebook - Size: 79.1 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 146 - Forks: 31

NifTK/NiftyNet 📦

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

Language: Python - Size: 11 MB - Last synced at: 18 days ago - Pushed at: over 5 years ago - Stars: 1,379 - Forks: 402

SaadARazzaq/auto-encoder-compressor

A deep learning-based image compression system utilizing Stacked Denoising Convolutional Autoencoders with advanced activation functions and up-sampling techniques.

Language: Jupyter Notebook - Size: 69.8 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 0 - Forks: 0

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.

Language: Python - Size: 300 MB - Last synced at: 20 days ago - Pushed at: 3 months ago - Stars: 157 - Forks: 30

zrkhadija/Discovering-Rare-Genomic-Subtypes-Pan-cancer-Cancer-Specific-Clustering

Goal: Look at all samples together, regardless of cancer type. Purpose: Identify broad clusters that might cut across cancer types. Possibly find patterns that indicate a sample’s behavior is more similar to another cancer type (interesting cross-cancer subtypes).

Language: Jupyter Notebook - Size: 627 KB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 1 - Forks: 0

koba-jon/pytorch_cpp

Deep Learning sample programs using PyTorch in C++

Language: C++ - Size: 151 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 266 - Forks: 56

GlastonburyGroup/ImLatent

Deep learning pipeline to obtain latent representation from images using 2D and 3D diffusion and other autoencoders

Language: Python - Size: 89.5 MB - Last synced at: 24 days ago - Pushed at: 25 days ago - Stars: 4 - Forks: 2

GlastonburyGroup/CardiacDiffAE_GWAS

Official code for the paper "Unsupervised cardiac MRI phenotyping with 3D diffusion autoencoders reveals novel genetic insights"

Language: Python - Size: 105 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 4 - Forks: 1

suhanigarg855/ISRO-ML-Orbit-Error-Correction

ISRO internship report & figures - hybrid SGP4/ML project

Size: 2.67 MB - Last synced at: 20 days ago - Pushed at: 29 days ago - Stars: 0 - Forks: 0

alawryaguila/multi-view-AE

Multi-view-AE: An extensive collection of multi-modal autoencoders implemented in a modular, scikit-learn style framework.

Language: Python - Size: 3.14 MB - Last synced at: 16 days ago - Pushed at: over 1 year ago - Stars: 54 - Forks: 5

jayarnim/M-LAB

seminar at the artificial intelligence for business optimization lab during master's course

Size: 16.6 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

hamaadshah/autoencoders_pytorch

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

Language: Python - Size: 55.4 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 20 - Forks: 7

UK183/Image-Inpainting-using-CNN

Deep learning project using Convolutional Neural Networks (CNNs) for Image Inpainting- to restore missing or damaged regions in images. Highlights skills in CNN model development, image restoration, and data-driven experimentation with TensorFlow/PyTorch.

Language: Jupyter Notebook - Size: 7.61 MB - Last synced at: 14 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

PolymathicAI/lola

Official implementation of "Lost in Latent Space: An Empirical Study of Latent Diffusion Models for Physics Emulation"

Language: Python - Size: 197 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 38 - Forks: 5

jayarnim/RS-CDAE

prectice CDAE, autoencoder based collaborative filtering for implicit feedback

Language: Python - Size: 78.1 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

rishishanthan/anomaly-detection-autoencoders

Anomaly detection with Dense, LSTM, and Conv1D autoencoders — reconstruction error, adaptive thresholds, ROC/PR analysis, and error heatmaps.

Language: Jupyter Notebook - Size: 2.06 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

jericho-cain/cwt-lstm-ae-grav-wav

Advanced ML pipeline that detects gravitational wave signals in LIGO noise data through continuous wavelet transform preprocessing and LSTM autoencoder anomaly detection. Validated on H1 detector data with perfect performance metrics.

Language: Python - Size: 22.9 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

greenelab/BioBombe

BioBombe: Sequentially compressed gene expression features enhances biological signatures

Language: Jupyter Notebook - Size: 2.28 GB - Last synced at: 25 days ago - Pushed at: over 1 year ago - Stars: 65 - Forks: 26

chrislemke/autoembedder

PyTorch autoencoder with additional embeddings layer for categorical data 🚘

Language: Python - Size: 936 KB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 7 - Forks: 0

dc-ai-projects/DC-Gen

DC-Gen: Accelerating Diffusion Models with Compressed Latent Space

Language: Python - Size: 300 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 101 - Forks: 5

ArdeleanRichard/Nonlinear-Feature-Extraction-in-SpikeSorting

A study of non-linear manifold feature extraction in spike sorting: a comprehensive benchmark of 15 feature extraction methods

Language: Python - Size: 2.26 GB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

DimAthanasakos/Graph-AutoEncoder-for-Model-Agnostic-Anomaly-Detection

Graph AutoEncoder for Model Agnostic Anomaly Detection: https://arxiv.org/abs/2506.19920

Language: Jupyter Notebook - Size: 991 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

ARMAND-cod-eng/fraud-detection-ensemble

Production fraud detection system achieving 1,779% ROI using ensemble deep learning. Features: 85.71% recall, 0.16% FPR, <100ms latency

Language: Jupyter Notebook - Size: 4.55 MB - Last synced at: 14 days ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

gongersio/autoencoder-project

A basic autoencoder model using CNNs to analyse online social media videos about immersive museum exhibits.

Language: Python - Size: 751 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

stef1949/HarmonizeNN

Adversarial autoencoder for bulk RNA‑seq batch effect correction that removes batch signal while preserving biological variation, outputting a corrected logCPM matrix and latent embeddings with optional supervised label preservation.

Language: Python - Size: 585 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

GaloisInc/dlkoopman

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

Language: Python - Size: 10.8 MB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 108 - Forks: 15

saman-nia/Deep-Neural-Networks-for-Clustering

Deep Learning Clustering with Tensor-Flow in Python

Language: Jupyter Notebook - Size: 26.6 MB - Last synced at: 22 days ago - Pushed at: almost 7 years ago - Stars: 14 - Forks: 11

mahdi-ahmadi-2002/Multi-Task-Image-Reconstruction-Autoencoder

A multi-task PyTorch autoencoder that separates and reconstructs CIFAR-10 and MNIST images from a single, synthetically combined input image.

Language: Jupyter Notebook - Size: 330 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

konpatp/diffae

Official implementation of Diffusion Autoencoders

Language: Jupyter Notebook - Size: 10.9 MB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 942 - Forks: 148

silkemaes/MACE

MACE, a Machine-learning Approach to Chemistry Emulation

Language: Jupyter Notebook - Size: 473 MB - Last synced at: 7 days ago - Pushed at: 8 months ago - Stars: 4 - Forks: 4

IoBT-VISTEC/MIN2Net

End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE Transactions on Biomedical Engineering)

Language: Python - Size: 19.4 MB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 94 - Forks: 25

cxhernandez/molencoder

Molecular AutoEncoder in PyTorch

Language: Python - Size: 49.8 MB - Last synced at: about 1 month ago - Pushed at: over 5 years ago - Stars: 92 - Forks: 18

Sulkysubject37/BioMoR

BioMoR: Bioinformatics Modeling with Recursion and Autoencoder-Based Ensemble An R package for advanced bioinformatics predictive modeling using recursive transformer-inspired architectures, autoencoders, random forests, XGBoost, and stacked ensembles. Includes utilities for cross-validation, calibration, benchmarking, and threshold optimisation.

Language: R - Size: 16.5 MB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

sabamadadi/Mixed-Autoencoder-MNIST-CIFAR10

Autoencoder for reconstructing MNIST and CIFAR-10 images from combined inputs.

Language: Jupyter Notebook - Size: 281 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

gyt1145028706/XY-Tokenizer

This is the code for paper: XY-Tokenizer: Mitigating the Semantic-Acoustic Conflict in Low-Bitrate Speech Codecs. Demos, technical insights and experimental results are presented on

Language: Python - Size: 1.05 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 70 - Forks: 4

cloudera/CML_AMP_Anomaly_Detection

Apply modern, deep learning techniques for anomaly detection to identify network intrusions.

Language: Python - Size: 8.39 MB - Last synced at: about 1 month ago - Pushed at: 12 months ago - Stars: 51 - Forks: 19

thiagoneye/master-deep_learning

Codes implemented in the Deep Learning discipline.

Language: Jupyter Notebook - Size: 191 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

jericho-cain/gravWH

🌌 CWT-LSTM Autoencoder for gravitational wave detection achieving 92.6% precision (exceeds LIGO >90% requirement). Features automated LaTeX paper update, comprehensive docs, and unsupervised anomaly detection.

Language: Python - Size: 7.55 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

EndlessSora/focal-frequency-loss

[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis

Language: Python - Size: 4.93 MB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 678 - Forks: 64

felixdittrich92/Document_Scanner

this repository contains utils for post processing scanned documents and classify any kind of document for the given labels

Language: Python - Size: 51.9 MB - Last synced at: 22 days ago - Pushed at: about 5 years ago - Stars: 6 - Forks: 4

sudharsan13296/Hands-On-Deep-Learning-Algorithms-with-Python

Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow

Language: Jupyter Notebook - Size: 206 MB - Last synced at: 2 months ago - Pushed at: about 5 years ago - Stars: 352 - Forks: 187

zahra-ahmadbeigloo/Deep-Learning-Projects

This repository contains a collection of deep learning projects implemented from scratch and using Keras/TensorFlow. The focus is on learning and experimenting with different neural network architectures for both foundational understanding and practical application.

Language: Jupyter Notebook - Size: 8.15 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

AHruler/Exploring-AAD

Exploring possible methods for Audio Anomaly Detection - on machine sounds (MIMII dataset)

Language: Jupyter Notebook - Size: 26 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 13 - Forks: 4

StefanDenn3r/Unsupervised_Anomaly_Detection_Brain_MRI

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

Language: Python - Size: 97.7 KB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 186 - Forks: 33

aurelienmorgan/abnormal_vibrations_watchdog

Time Series Anomaly detection. The monitored signal is made-up of machinery vibration sensor measurements.

Language: Python - Size: 8.71 MB - Last synced at: 23 days ago - Pushed at: almost 5 years ago - Stars: 17 - Forks: 2

PRANAVBALAJIRS/MyDL_Foundation

Hands-on deep learning notebooks covering CNNs, RNNs, NLP, time series forecasting, and transfer learning using TensorFlow and PyTorch.

Language: Jupyter Notebook - Size: 32.2 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

podgorskiy/GPND

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

Language: Python - Size: 5.71 MB - Last synced at: 2 months ago - Pushed at: almost 5 years ago - Stars: 131 - Forks: 31

korie-cyber/Fraud-Detection-Model

Fraud detection system using machine learning and deep learning (XGBoost + Autoencoder). Trains on synthetic financial transactions to flag suspicious activity with business-focused evaluation metrics.

Language: Jupyter Notebook - Size: 1.51 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 7 - Forks: 1

tensorlayer/awesome-tensorlayer

A curated list of dedicated resources and applications

Size: 94.7 KB - Last synced at: 8 days ago - Pushed at: almost 6 years ago - Stars: 270 - Forks: 59

davide-marchi/clinical-data-encoding

MIEO (Masked Input Encoded Output): self-supervised embeddings for clinical tabular data; handles missing values and mixed types for CVD risk prediction.

Language: Jupyter Notebook - Size: 49.4 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 3 - Forks: 1

GheodeAI/va_am

VA-AM (Various Advanced - Analogue Methods) is a Python package based on the deep learning enhancement of the classical statistical Analogue Method. It provides several tools to analyse climatological extreme events, particularly heat waves.

Language: Python - Size: 681 KB - Last synced at: 17 days ago - Pushed at: 2 months ago - Stars: 4 - Forks: 0

ZIYU-DEEP/Awesome-Autoencoders-for-Representation-Learning

A curated list on the literature of autoencoders for representation learning.

Size: 203 KB - Last synced at: 4 days ago - Pushed at: almost 5 years ago - Stars: 31 - Forks: 1

etiennechatreaux/DimRed-KAN-Finance

Exploring Kolmogorov–Arnold Networks (KANs) as nonlinear autoencoders for dimensionality reduction in finance

Language: Jupyter Notebook - Size: 68.2 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

scapeML/scape

Single-cell Analysis of Perturbational Effects using Machine Learning

Language: Python - Size: 4.1 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 7 - Forks: 5

shobrook/sequitur

Library of autoencoders for sequential data

Language: Python - Size: 1.94 MB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 447 - Forks: 56

asnelt/mmae

Package for Multimodal Autoencoders in TensorFlow / Keras

Language: Python - Size: 28.3 KB - Last synced at: about 2 months ago - Pushed at: over 5 years ago - Stars: 19 - Forks: 12

arcc-hitt/URL_Email_Phishing_Detection

A real-time phishing detection system that analyzes emails and URLs using LightGBM, XGBoost, and autoencoders, with seamless Gmail API integration and an Angular frontend for clear, instant threat insights.

Language: Jupyter Notebook - Size: 93.5 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

ahmadtourei/das-anomaly

A Python package to detect anomalies in distributed acoustic sensing (DAS) datasets.

Language: Python - Size: 2.6 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 20 - Forks: 1

shaunn17/MarketGuardian

A comprehensive AI-powered machine learning system for detecting unusual trading patterns and potential fraud in financial markets (equities, crypto, FX). Features multiple anomaly detection algorithms including Isolation Forest, Autoencoder, and Graph Neural Networks, with an interactive Streamlit dashboard for real-time analysis.

Language: Python - Size: 798 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0