https://github.com/cleanlab/cleanlab

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

active-learning annotation data-centric-ai data-cleaning data-curation data-labeling data-profiling data-quality data-science data-validation dataops dataquality datasets exploratory-data-analysis labeling llms noisy-labels out-of-distribution-detection outlier-detection weak-supervision

Last synced: 12 May 2025

https://github.com/yzhao062/pyod

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

anomaly anomaly-detection autoencoder data-analysis data-mining data-science deep-learning fraud-detection machine-learning neural-networks novelty-detection out-of-distribution-detection outlier-detection outlier-ensembles outliers python python3 unsupervised-learning

Last synced: 12 May 2025

https://github.com/yzhao062/Pyod

A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)

anomaly anomaly-detection autoencoder data-analysis data-mining data-science deep-learning fraud-detection machine-learning neural-networks novelty-detection out-of-distribution-detection outlier-detection outlier-ensembles outliers python python3 unsupervised-learning

Last synced: 04 Apr 2025

https://github.com/visual-layer/fastdup

fastdup is a powerful, free tool designed to rapidly generate valuable insights from image and video datasets. It helps enhance the quality of both images and labels, while significantly reducing data operation costs, all with unmatched scalability.

data-augmentation data-curation dataset deep-learning image image-analysis image-classfication image-classification image-duplicate-detection image-processing image-similarity machine-learning novelty-detection object-detection outlier-detection python visual-search visualization visualization-tools

Last synced: 14 May 2025

https://github.com/datamllab/tods

TODS: An Automated Time-series Outlier Detection System

anomaly-detection automl machine-learning outlier-detection time-series time-series-analysis time-series-anomaly-detection

Last synced: 15 May 2025

https://github.com/safe-graph/graph-fraud-detection-papers

A curated list of graph-based fraud, anomaly, and outlier detection papers & resources

academic-publications anomaly-detection awsome-list data-mining data-science dataset deep-learning fraud-detection graph-algorithms graph-convolutional-networks graph-neural-networks machine-learning outlier-detection papers security spam-detection survey

Last synced: 26 Mar 2025

https://github.com/JustGlowing/minisom

:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps

clustering dimensionality-reduction kohonen machine-learning manifold-learning neural-networks outlier-detection self-organizing-map som unsupervised-learning vector-quantization

Last synced: 01 May 2025

https://github.com/pygod-team/pygod

A Python Library for Graph Outlier Detection (Anomaly Detection)

anomaly-detection deeplearning fraud-detection graph-anomaly-detection graph-neural-networks graphmining machine-learning opensource outlier-detection python pytorch security-tools toolkit

Last synced: 08 Oct 2025

https://github.com/minqi824/adbench

Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.

anomaly-detection benchmark data-mining data-sicence deep-learning ensemble-learning machine-learning neural-networks outlier-detection python semi-supervised-learning supervised-learning unsupervised-learning

Last synced: 15 May 2025

https://github.com/Minqi824/ADBench

Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.

anomaly-detection benchmark data-mining data-sicence deep-learning ensemble-learning machine-learning neural-networks outlier-detection python semi-supervised-learning supervised-learning unsupervised-learning

Last synced: 07 Apr 2025

https://github.com/jingkang50/openood

Benchmarking Generalized Out-of-Distribution Detection

anomaly-detection novelty-detection open-set-recognition out-of-distribution-detection outlier-detection robustness

Last synced: 16 May 2025

https://github.com/Jingkang50/OpenOOD

Benchmarking Generalized Out-of-Distribution Detection

anomaly-detection novelty-detection open-set-recognition out-of-distribution-detection outlier-detection robustness

Last synced: 28 Mar 2025

https://github.com/elki-project/elki

ELKI Data Mining Toolkit

anomalydetection cluster-analysis clustering data-analysis data-mining data-mining-algorithms data-science distance-functions index indexing java machine-learning outlier-detection outliers time-series visualization

Last synced: 14 May 2025

https://github.com/zillow/luminaire

Luminaire is a python package that provides ML driven solutions for monitoring time series data.

anomaly-detection automl forecasting outlier-detection time-series

Last synced: 20 Oct 2025

https://github.com/chaos-genius/chaos_genius

ML powered analytics engine for outlier detection and root cause analysis.

ai alert alert-messages analytics anomaly-detection business-intelligence data-visualization dataquality deep-learning hacktoberfest machine-learning ml monitoring monitoring-tool observability outlier-detection python rootcauseanalysis seasonality time-series

Last synced: 26 Mar 2025

https://github.com/safe-graph/dgfraud

A Deep Graph-based Toolbox for Fraud Detection

anomaly-detection datamining datascience dblp-dataset financial-engineering fraud-detection fraud-prevention graph graph-algorithms graph-convolutional-networks graph-neural-networks graphneuralnetwork machine-learning opensource outlier-detection security security-tools spamdetection toolkit yelp-dataset

Last synced: 04 Apr 2025

https://github.com/safe-graph/DGFraud

A Deep Graph-based Toolbox for Fraud Detection

anomaly-detection datamining datascience dblp-dataset financial-engineering fraud-detection fraud-prevention graph graph-algorithms graph-convolutional-networks graph-neural-networks graphneuralnetwork machine-learning opensource outlier-detection security security-tools spamdetection toolkit yelp-dataset

Last synced: 01 Apr 2025

https://github.com/cerlymarco/tsmoothie

A python library for time-series smoothing and outlier detection in a vectorized way.

bootstrap bootstrapping-statistics outlier-detection outlier-removal series-smoothing smoothing time-series timeseries

Last synced: 25 Dec 2025

https://github.com/xuhongzuo/DeepOD

Deep learning-based outlier/anomaly detection

anomaly-detection deep-anomaly-detection outlier-detection

Last synced: 21 Nov 2025

https://github.com/jingkang50/oodsurvey

The Official Repository for "Generalized OOD Detection: A Survey"

anomaly-detection novelty-detection ood-detection open-set-recognition out-of-distribution-detection outlier-detection

Last synced: 04 Oct 2025

https://github.com/Jingkang50/OODSurvey

The Official Repository for "Generalized OOD Detection: A Survey"

anomaly-detection novelty-detection ood-detection open-set-recognition out-of-distribution-detection outlier-detection

Last synced: 08 May 2025

https://github.com/yzhao062/suod

(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)

anomaly-detection data-mining distributed-systems knowledge-distillation machine-learning machine-learning-algorithms machine-learning-library outlier-detection python

Last synced: 12 Apr 2025

https://github.com/yzhao062/SUOD

(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)

anomaly-detection data-mining distributed-systems knowledge-distillation machine-learning machine-learning-algorithms machine-learning-library outlier-detection python

Last synced: 18 Jul 2025

https://github.com/vc1492a/PyNomaly

Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in the range of [0,1].

anomalies anomaly-detection machine-learning nearest-neighbors outlier-detection outlier-scores outliers probability

Last synced: 19 Jul 2025

https://github.com/vc1492a/pynomaly

Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in the range of [0,1].

anomalies anomaly-detection machine-learning nearest-neighbors outlier-detection outlier-scores outliers probability

Last synced: 15 May 2025

https://github.com/waico/SKAB

SKAB - Skoltech Anomaly Benchmark. Time-series data for evaluating Anomaly Detection algorithms.

algorithms-evaluation anomaly-detection benchmark changepoint-detection collective-anomalies dataset datasets leaderboard outlier-detection skab skoltech

Last synced: 04 Apr 2025

https://github.com/waico/SkAB

SKAB - Skoltech Anomaly Benchmark. Time-series data for evaluating Anomaly Detection algorithms.

algorithms-evaluation anomaly-detection benchmark changepoint-detection collective-anomalies dataset datasets leaderboard outlier-detection skab skoltech

Last synced: 14 Mar 2025

https://github.com/datamllab/pyodds

An End-to-end Outlier Detection System

anomaly-detection database deep-learning machine-learning outlier-detection tdengine time-series time-series-analysis

Last synced: 14 Mar 2025

https://github.com/selimfirat/pysad

Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)

anomaly anomaly-detection fraud-detection incremental-learning intrusion-detection machine-learning outlier-detection outliers python real-time streaming-data unsupervised-learning

Last synced: 02 Jan 2026

https://github.com/david-cortes/isotree

(Python, R, C/C++) Isolation Forest and variations such as SCiForest and EIF, with some additions (outlier detection + similarity + NA imputation)

anomaly-detection imputation isolation-forest outlier-detection

Last synced: 15 May 2025

https://github.com/expediagroup/adaptive-alerting

Anomaly detection for streaming time series, featuring automated model selection.

anomaly anomaly-detection monitoring outlier outlier-detection streaming time-series

Last synced: 24 Aug 2025

https://github.com/NVISOsecurity/ee-outliers

Open-source framework to detect outliers in Elasticsearch events

anomaly-detection cirt ee-outliers machine-learning ml netsec outlier-detection outliers security-monitoring security-operations siem statistical-analysis statistics threat-hunting

Last synced: 11 May 2025

https://github.com/ExpediaGroup/adaptive-alerting

Anomaly detection for streaming time series, featuring automated model selection.

anomaly anomaly-detection monitoring outlier outlier-detection streaming time-series

Last synced: 14 Mar 2025

https://github.com/dvgodoy/handyspark

HandySpark - bringing pandas-like capabilities to Spark dataframes

exploratory-data-analysis imputation outlier-detection pandas pyspark python spark visualization

Last synced: 05 Apr 2025

https://github.com/yzhao062/pytod

TOD: GPU-accelerated Outlier Detection via Tensor Operations

anomaly-detection gpu-acceleration gpu-systems machine-learning outlier-detection unsupervised-learning

Last synced: 23 Oct 2025

https://github.com/dhi/tsod

Anomaly Detection for time series data

outlier-detection python research time-series

Last synced: 16 May 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/DHI/tsod

Anomaly Detection for time series data

outlier-detection python research time-series

Last synced: 04 May 2025

https://github.com/online-ml/deep-river

data-science deep-learning incremental-learning machine-learning neural-network online-deep-learning online-learning outlier-detection pytorch stream

Last synced: 13 Dec 2025

https://github.com/safe-graph/UGFraud

An Unsupervised Graph-based Toolbox for Fraud Detection

anomaly-detection data-science fraud-detection fraud-prevention graph-algorithms machine-learning opensource outlier-detection security-tools spam-detection toolbox

Last synced: 09 May 2025

https://github.com/leibinghe/GAAL-based-outlier-detection

GAAL-based Outlier Detection

generative-adversarial-network outlier-detection

Last synced: 20 Sep 2025

https://github.com/safe-graph/ugfraud

An Unsupervised Graph-based Toolbox for Fraud Detection

anomaly-detection data-science fraud-detection fraud-prevention graph-algorithms machine-learning opensource outlier-detection security-tools spam-detection toolbox

Last synced: 17 Mar 2025

https://github.com/safe-graph/dgfraud-tf2

A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X

anomaly-detection datamining datascience dblp-dataset financial-engineering fraud-detection fraud-prevention graph-algorithms graphneuralnetwork machine-learning opensource outlier-detection security security-tools spam-detection toolkit yelp-dataset

Last synced: 27 Apr 2025

https://github.com/dvlab-research/mood

Official PyTorch implementation of MOOD series: (1) MOODv1: Rethinking Out-of-distributionDetection: Masked Image Modeling Is All You Need. (2) MOODv2: Masked Image Modeling for Out-of-Distribution Detection.

cvpr2023 masked-image-modeling ood-detection outlier-detection pytorch

Last synced: 03 Jul 2025

https://github.com/Fengrui-Liu/StreamAD

Online anomaly detection for data streams/ Real-time anomaly detection for time series data.

anomaly-detection data-stream-processing data-streams incremental-learning machine-learning online-learning outlier-detection python real-time-detection streaming time-series timeseries

Last synced: 26 Mar 2025

https://github.com/yzhao062/xgbod

Supplementary material for IJCNN paper "XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning"

anomaly-detection outlier-detection outlier-ensembles semi-supervised

Last synced: 05 Oct 2025

https://github.com/raamana/visualqc

VisualQC : assistive tool to ease the quality control workflow of neuroimaging data.

alignment anatomical-mri cortex fmri freesurfer medical-imaging mri-images neuroimaging neuroscience outlier-detection outlier-removal qc quality-control registration

Last synced: 08 Sep 2025

https://github.com/deel-ai/influenciae

👋 Influenciae is a Tensorflow Toolbox for Influence Functions

explainability explainable-ai fairness-ai influence-functions misclassification outlier-detection

Last synced: 16 May 2025

https://github.com/david-cortes/outliertree

(Python, R, C++) Explainable outlier/anomaly detection through decision tree conditioning

anomaly-detection outlier-detection

Last synced: 22 Apr 2025

https://github.com/gagneurlab/outrider

OUTRIDER: OUTlier in RNA-seq fInDER is an R-based framework to find aberrantly expressed genes in RNA-seq data

count-data diagnostics expression-analysis mendelian-genetics outlier-detection r rna-seq

Last synced: 08 May 2025

https://github.com/g-andrade/aequitas

Fairness regulator and rate limiter

fairness outlier-detection rate-limiting

Last synced: 13 Apr 2025

https://github.com/gagneurlab/fraser

FRASER - Find RAre Splicing Events in RNA-seq

aberrant-splicing diagnostics outlier-detection r rare-disease rna-seq splicing

Last synced: 09 Oct 2025

https://github.com/getzze/robustmodels.jl

A Julia package for robust regressions using M-estimators and quantile regressions

expectile-regression julia-language m-estimator mm-estimator mquantile-regression outlier-detection outlier-rejection quantile-regression ridge-regression robust-regression s-estimator tau-estimator

Last synced: 13 Apr 2025

https://github.com/baggepinnen/matrixprofile.jl

Time-series analysis using the Matrix profile in Julia

anomaly-detection change-point-detection clustering data-mining dsp matrix-profile motif-analysis motif-discovery outlier-detection predictive-maintenance signal-processing similarity-search time-series time-series-analysis

Last synced: 03 Jan 2026

https://github.com/baggepinnen/totalleastsquares.jl

Solve many kinds of least-squares and matrix-recovery problems

errors-in-variables estimation imputation least-square-regression least-squares linear-regression matrix-completion missing-data missing-data-imputation nonnegative-matrix-factorization outlier-detection robust-estimation robust-pca robust-regresssion robust-statistics singular-value-decomposition total-least-square

Last synced: 15 Mar 2025

https://github.com/baggepinnen/MatrixProfile.jl

Time-series analysis using the Matrix profile in Julia

anomaly-detection change-point-detection clustering data-mining dsp matrix-profile motif-analysis motif-discovery outlier-detection predictive-maintenance signal-processing similarity-search time-series time-series-analysis

Last synced: 04 May 2025

https://github.com/mcosovic/matgrid

MATGRID is an easy-to-use power system simulation tool for researchers and educators provided as a MATLAB package.

bad-data data-set gauss-newton-method least-absolute-value measurements newton-raphson observability outlier-detection phasor-measurement-unit power-flow power-systems state-estimation weighted-least-squares

Last synced: 01 Aug 2025

https://github.com/flrs/hampelfilter

Arduino library for identifying outliers with a Hampel filter

arduino arduino-library hampel-filter outlier-detection

Last synced: 20 Oct 2025

https://github.com/weltxing/sagod

A library for static attributed graph outlier detection. 静态属性图节点的异常检测模型集。

anomaly-detection gcn gnn graph outlier-detection

Last synced: 13 Jul 2025

https://github.com/yzhao062/lscp

Supplementary material for SDM 19 paper "LSCP: Locally Selective Combination in Parallel Outlier Ensembles"

anomaly-detection data-mining lscp outlier-detection outlier-ensembles

Last synced: 20 Sep 2025

https://github.com/cleanlab/cleanlab-studio

Client interface to Cleanlab Studio and the Trustworthy Language Model

annotations automl computer-vision data-centric-ai data-cleaning data-curation data-labeling data-profiling data-quality data-science data-validation image-classification llm machine-learning model-deployment natural-language-processing noisy-labels outlier-detection structured-data text-classification

Last synced: 13 Apr 2025

https://github.com/kaslanarian/sagod

A library for static attributed graph outlier detection. 静态属性图节点的异常检测模型集。

anomaly-detection gcn gnn graph outlier-detection

Last synced: 08 May 2025

https://github.com/dkaslovsky/Coupled-Biased-Random-Walks

Outlier detection for categorical data

anomaly-detection categorical-data conditional-probability graph-algorithms outlier-detection random-walk

Last synced: 26 Mar 2025

https://github.com/gagneurlab/fraser-analysis

Accompanying analysis code for the FRASER manuscript

outlier-detection r rare-disease rna-seq snakemake workflow

Last synced: 11 Apr 2025

https://github.com/syrte/robustgp

Robust Gaussian Process with Iterative Trimming

gaussian-processes gpy itgp machine-learning nonlinear-regression outlier-detection python regression robust-regresssion robust-statistics

Last synced: 07 Aug 2025

https://github.com/the-hull/datacleanr

Interactive and Reproducible Data Cleaning

annotation-tool data-cleaning outlier-detection outlier-removal reproducibility

Last synced: 22 Oct 2025

https://github.com/bhattbhavesh91/outlier-detection-grubbs-test-and-generalized-esd-test-python

Repository for detecting outliers using Grubb's Threshold & Generalized Extreme Studentized Deviate (ESD) Test

esd generalized-esd-test grubbs-test outlier-detection python video

Last synced: 17 Apr 2025

https://github.com/the-Hull/datacleanr

Interactive and Reproducible Data Cleaning

annotation-tool data-cleaning outlier-detection outlier-removal reproducibility

Last synced: 30 Jul 2025

https://github.com/yzhao062/dcso

Supplementary material for KDD 2018 workshop "DCSO: Dynamic Combination of Detector Scores for Outlier Ensembles"

anomaly-detection outlier-detection outlier-ensembles

Last synced: 11 Apr 2025

https://github.com/mdh266/NYCBuildingEnergyUse

Creating Regression Models Of Building Emissions On Google Cloud

bokeh data-science energy-efficiency exploratory-data-analysis google-app-engine missing-data missing-values outlier-detection outlier-removal regression regression-models scikit-learn xgboost

Last synced: 07 May 2025

https://github.com/mcosovic/juliagrid.jl

JuliaGrid is an easy-to-use power system simulation tool for researchers and educators provided as a Julia package.

bad-data data-set gauss-newton-method julia julia-language least-absolute-value measurements newton-raphson observability-analysis optimal-power-flow outlier-detection phasor-measurement-unit power-flow power-systems simulation sparseinv state-estimation weighted-least-squares

Last synced: 19 Apr 2025

https://github.com/mdh266/nycbuildingenergyuse

Creating Regression Models Of Building Emissions On Google Cloud

bokeh data-science energy-efficiency exploratory-data-analysis google-app-engine missing-data missing-values outlier-detection outlier-removal regression regression-models scikit-learn xgboost

Last synced: 30 Jul 2025

https://github.com/nanxstats/enpls

Algorithmic framework for measuring feature importance, outlier detection, model applicability evaluation, and ensemble predictive modeling with (sparse) partial least squares regressions.

chemometrics dimensionality-reduction ensemble-learning machine-learning outlier-detection partial-least-squares-regression

Last synced: 22 Apr 2025

https://github.com/lampspuc/statespacelearning.jl

StateSpaceLearning.jl is a Julia package for time-series analysis using state space learning framework.

best-subset-selection forecasting julia-language outlier-detection statistics time-series time-series-analysis

Last synced: 10 Apr 2025

https://github.com/msesia/conditional-conformal-pvalues

Conditional calibration of conformal p-values for outlier detection.

conformal-prediction false-discovery-rate machine-learning outlier-detection statistics

Last synced: 30 Oct 2025

https://github.com/hibayesian/spark-lof

A parallel implementation of local outlier factor based on Spark

local-outlier-factor machine-learning outlier-detection spark

Last synced: 30 Jul 2025

https://github.com/mlange-42/chrono-photo

Chronophotography command line tool and library in Rust.

chrono-photo chronophotography image-processing ornithology outlier-detection photo photography rust

Last synced: 18 Mar 2025

https://github.com/mayer79/outforest

Outlier detection based on random forest models

machine-learning outlier outlier-analysis outlier-detection random-forest rstats

Last synced: 02 Aug 2025

https://github.com/chen0040/java-local-outlier-factor

Package implements a number local outlier factor algorithms for outlier detection and finding anomalous data

anomaly-detection clustering local-outlier-factor outlier-detection outliers unsupervised-learning

Last synced: 13 Sep 2025

https://github.com/selva221724/edasql

edaSQL is a python library to bridge the SQL with Exploratory Data Analysis where you can connect to the Database and insert the queries. The query results can be passed to the EDA tool which can give greater insights to the user.

correlation data-analysis data-science data-visualization dataprofiling eda missing-values outlier-detection pandas python sql

Last synced: 10 Jun 2025

https://github.com/icekhan13/anomaly-detection-libs

Simple libraries for anomaly (outlier) detection

anomaly-detection clustering kmeans ldcof outlier-detection python unsupervised-learning

Last synced: 21 Apr 2025

https://github.com/tharindurb/iNNE

anomaly-detection data-mining isolation outlier-detection unsupervised-learning unsupervised-learning-algorithms unsupervised-machine-learning

Last synced: 14 Mar 2025

https://github.com/xhan97/inne

A scikit-learn-compatible module for Isolation-based anomaly detection using nearest-neighbor ensembles

anomaly-detection ensemble-model outlier-detection sklearn-compatible sklearn-estimator unsupervised-learning

Last synced: 16 Aug 2025

https://github.com/chen0040/java-outliers

Package provide java implementation of outlier detection using normal distribution for multi-variate datasets

anomaly-detection java outlier-detection unsupervised

Last synced: 15 Aug 2025

https://github.com/little-brother/outlier2

Find outliers in dataset

outlier-detection statistics

Last synced: 13 Apr 2025

https://github.com/chen0040/java-libsvm

Package provides the direct java conversion of the origin libsvm C codes as well as a number of adapter to make it easier to program with libsvm on Java

anomaly-detection binary-classification java libsvm libsvm-format multi-class-classification one-class-learning outlier-detection regression supervised-learning svm unsupervised-learning

Last synced: 01 Jul 2025

https://github.com/mlindsk/molic

Multivariate Outlierdetection In Contingency Tables

categorical-data contingency-tables decomposable-graphical-models high-dimensional-data outlier-detection

Last synced: 22 Oct 2025

https://github.com/gulabpatel/feature_engineering

autoencoder dbscan encoding encodings feature-engineering isolation-forest klib missing-values normalization outlier-detection outliers preprocessing scaling

Last synced: 26 Jun 2025

https://github.com/niloth-p/density-based-outlier-detection

An implementation of a density based outlier detection method - the Local Outlier Factor Technique, to find frauds in credit card transactions. For detecting both local and global outliers.

accuracy density distancematrix k-nearest-neighbors local-outlier-factor local-reachability-density mahalanobis-distance outlier-detection performance-metrics precision-recall-curve

Last synced: 25 Apr 2025

https://github.com/otsegun/fdaoutlier

Outlier Detection Tools for Functional Data Analysis

outlier-detection

Last synced: 22 Oct 2025

https://github.com/devparihar5/outlyzer

Outlyzer is a Python library for outlier detection that offers various methods for identifying and visualizing outliers in datasets.

outlier-detection pypi pypi-package python python-library visualization

Last synced: 12 May 2025

https://github.com/omidghadami95/geolife-outlierdetection-tmd

Outlier detection (z-score and IQR) and visualization on Geolife dataset for transport mode detection task

geolife geolife-dataset google-colab googlecolab iqr keras numpy outlier-detection outlier-detection-datasets pandas tensorflow tmd transport-mode-detection visualization z-score

Last synced: 05 Oct 2025

https://github.com/philippjh/genif

Implementation of the "Generalized Isolation Forest" (GIF) algorithm for unsupervised detection of outliers in data.

ai cpp ml outlier-detection python

Last synced: 30 Apr 2025

https://github.com/fayzi-dev/pyod

PyOD (Python Outlier Detection)

cblof iforest-model knn-algorithm outlier-detection pyod

Last synced: 11 Oct 2025

https://github.com/gfoidl/stochastics

Stochastic tools, distrubution, analysis

kutosis median outlier-detection sigma simd skewness variance

Last synced: 14 Apr 2025

https://github.com/gagneurlab/autocorrection

The autoencoder implementation for the OUTRIDER package

autoencoder expression-analysis outlier-detection pyhton rna-seq

Last synced: 28 Oct 2025

https://github.com/saba-gul/exploratory-data-analysis-and-statistical-analysis-notebooks

This repository contains a collection of Jupyter Notebooks for conducting Exploratory Data Analysis (EDA) and Statistical Analysis on various datasets.

colab-notebook exploratory-data-analysis jupyter-notebooks machine-learning-algorithms outlier-detection outlier-removal regression-analysis statistical-analysis statistics-for-data-science

Last synced: 26 Jul 2025

https://github.com/kalpanabaheti/mancala-gameplayai-nonpropreitary

Basic functional code for the Mancala Educational Gaming and Feedback Project. Also available: Detailed open-source learning algorithms- some of which are pretty crafty, mind you! - that are designed for the driving logic of the game playing and automated game teaching system.

child child-education data-science decision-trees educational-project game-development machine-learning natural-language-understanding outlier-detection p pedagogy python-3-6 reinforcement-learning-algorithms risk-analysis statistics strategy-game-engine test-automation

Last synced: 16 Jun 2025

https://github.com/sushant1827/credit-card-fraud-detection

Demonstrates the use of ML for Anomaly Detection for Credit Card Transactions: Identifying Fraudulent Activity using Imbalanced Data

anamoly-detection correlation-analysis data-scaling data-visualization decision-tree-classifier exploratory-data-analysis gridsearchcv imbalanced-data knn-classifier logistic-regression near-miss outlier-detection outlier-removal precision-recall-curve random-forest-classifier roc-auc roc-auc-curve svc under-sampling

Last synced: 12 Apr 2025

https://github.com/moindalvs/learn_eda_for_data_science

Univariate, Bivariate and Multi-variate Analysis

bivariate-analysis correlation-analysis data-science data-transformation data-type-conversion data-types-and-structures data-visualization duplicates-removal exploratory-data-analysis imputation missing-values multi-variate-analysis normalization outlier-detection pandas-profiling standardization univariate-analysis

Last synced: 07 Oct 2025