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GitHub topics: outlier-detection

rob-med/awesome-TS-anomaly-detection

List of tools & datasets for anomaly detection on time-series data.

Size: 141 KB - Last synced at: 1 day ago - Pushed at: 8 months ago - Stars: 3,080 - Forks: 452

soheb120/Breast-Cancer-Classification

This repository contains a notebook for classifying breast cancer tumors using neural networks. It covers dataset exploration, model training with TensorFlow and Keras, and performance evaluation. 🩺💻

Language: Jupyter Notebook - Size: 21.5 KB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

mrsp/serow

SEROW Framework for N Legged Robot Walking Estimation

Language: C++ - Size: 41.2 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 83 - Forks: 16

yzhao062/anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

Language: Python - Size: 232 KB - Last synced at: 3 days ago - Pushed at: about 2 months ago - Stars: 8,771 - Forks: 1,780

Minqi824/ADBench

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

Language: Python - Size: 2.01 GB - Last synced at: about 14 hours ago - Pushed at: almost 2 years ago - Stars: 944 - Forks: 141

aria-ml/dataeval

Python library for analyzing data quality and its impact on model performance across classification and object-detection tasks.

Language: Python - Size: 881 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 10 - Forks: 1

dd-hebert/uv_pro

Command line tool for parsing and processing UV-Vis data from the Agilent 845x Chemstation software.

Language: Python - Size: 4.96 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 2 - Forks: 1

yzhao062/pyod

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

Language: Python - Size: 39.3 MB - Last synced at: 5 days ago - Pushed at: about 2 months ago - Stars: 9,274 - Forks: 1,417

Adhyan-1404/Exploratory-Data-Analysis-Projects

Contains the EDA Projects done using python.

Language: HTML - Size: 5.59 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

online-ml/deep-river

Language: Python - Size: 52.9 MB - Last synced at: 5 days ago - Pushed at: 16 days ago - Stars: 142 - Forks: 20

ohirose/bcpd

Bayesian Coherent Point Drift / Domain Elastic Transform

Language: C - Size: 24.8 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 314 - Forks: 41

FR34KY-CODER/Machine-Learning-Journey

Daily Machine Learning journey — Aconsistent log of my progress as I commit every single day to learning and building in the field of ML.

Language: Jupyter Notebook - Size: 3 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 1 - Forks: 0

KulikDM/pythresh

Outlier Detection Thresholding

Language: Jupyter Notebook - Size: 14.8 MB - Last synced at: 6 days ago - Pushed at: 7 days ago - Stars: 132 - Forks: 6

OliverHennhoefer/unquad

Conformal Anomaly Detection

Language: Python - Size: 93.5 MB - Last synced at: 8 days ago - Pushed at: 9 days ago - Stars: 48 - Forks: 6

holukas/diive

Time series processing library

Language: Python - Size: 834 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 13 - Forks: 2

munas-git/hotel_booking_price_elasticity_modeling_and_customer_segmentation

Modeling hotel booking demand and segmenting guests using price elasticity analysis, statistical modeling, and behavioral clustering to inform targeting and STP strategies.

Language: Jupyter Notebook - Size: 9.05 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0

tezzytezzy/bank-account-fraud-analysis

Binary classification model research

Language: Jupyter Notebook - Size: 5.68 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0

LAMPSPUC/StateSpaceLearning.jl

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

Language: Julia - Size: 36.9 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 19 - Forks: 2

huytransformer/Awesome-Out-Of-Distribution-Detection

Out-of-distribution detection, robustness, and generalization resources. The repository contains a curated list of papers, tutorials, books, videos, articles and open-source libraries etc

Size: 501 KB - Last synced at: 10 days ago - Pushed at: about 2 months ago - Stars: 920 - Forks: 74

chaos-genius/chaos_genius 📦

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

Language: Python - Size: 10.2 MB - Last synced at: 12 days ago - Pushed at: 9 months ago - Stars: 758 - Forks: 84

shuolucs/Awesome-Out-Of-Distribution-Detection

A curated list of awesome out-of-distribution detection resources.

Size: 2.01 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 45 - Forks: 3

nicolepcollins/nashville-housing-dataset-cleaning

This project demonstrates data cleaning on the Nashville Housing dataset (2013–2016) using R and packages like tidyverse, lubridate, and janitor. Key steps included standardizing column names, handling missing values, formatting dates, cleaning text fields, and identifying outliers. The cleaned dataset is now ready for analysis and modeling to unco

Language: HTML - Size: 7.2 MB - Last synced at: 14 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0

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].

Language: Python - Size: 34.1 MB - Last synced at: 5 days ago - Pushed at: 7 months ago - Stars: 324 - Forks: 37

prokischlab/omicsDiagnostics

This repository contains different scripts to automate and visualize analysis performed for the "Integration of proteomics with genomics and transcriptomics increases the diagnosis rate of Mendelian disorders"

Language: R - Size: 132 MB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 8 - Forks: 0

selimfirat/pysad

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

Language: Python - Size: 438 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 262 - Forks: 25

JustGlowing/minisom

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

Language: Python - Size: 19.1 MB - Last synced at: 18 days ago - Pushed at: 2 months ago - Stars: 1,518 - Forks: 439

USC-FORTIS/AD-AGENT

A multi-agent framework to fully automate anomaly detection in different modalities, tabular, graph, time series, and more (work in progress)!

Language: Python - Size: 2.04 MB - Last synced at: 19 days ago - Pushed at: 20 days ago - Stars: 50 - Forks: 19

kocharvishal/Spectral-Analysis-and-Mycotoxin-Prediction-in-Corn-Samples

Hyperspectral Corn Data Analysis & Mycotoxin Prediction

Language: Jupyter Notebook - Size: 1.35 MB - Last synced at: 20 days ago - Pushed at: 21 days ago - Stars: 0 - Forks: 0

numaproj/numalogic

Collection of operational time series ML models and tools

Language: Python - Size: 46.3 MB - Last synced at: 20 days ago - Pushed at: 8 months ago - Stars: 171 - Forks: 31

hs-jiang/FISVDD

Fast Incremental Support Vector Data Description implemented in Python

Language: Python - Size: 2.08 MB - Last synced at: 17 days ago - Pushed at: almost 5 years ago - Stars: 30 - Forks: 12

pygod-team/pygod

A Python Library for Graph Outlier Detection (Anomaly Detection)

Language: Python - Size: 1.04 MB - Last synced at: 23 days ago - Pushed at: 7 months ago - Stars: 1,420 - Forks: 135

safe-graph/graph-fraud-detection-papers

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

Size: 316 KB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 1,571 - Forks: 269

Aswendt-Lab/AIDAqc

An automated and simple tool for fast quality analysis of animal MRI

Language: Python - Size: 12.4 MB - Last synced at: 25 days ago - Pushed at: 26 days ago - Stars: 5 - Forks: 4

mcosovic/JuliaGrid.jl

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

Language: Julia - Size: 88.9 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 35 - Forks: 3

EmorZz1G/PatchAD

PatchAD, deep learning, anomaly detection, outlier detection, time series, PatchAD: A Lightweight Patch-based MLP-Mixer for Time Series Anomaly Detection

Language: Python - Size: 1.34 MB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 28 - Forks: 5

Renumics/awesome-open-data-centric-ai

Curated list of open source tooling for data-centric AI on unstructured data.

Size: 572 KB - Last synced at: 28 days ago - Pushed at: over 1 year ago - Stars: 719 - Forks: 35

bschulz81/robustregression

a c++ library with statistical machine learning algorithms for linear and non-linear robust regression that can be used with python.

Language: C++ - Size: 233 KB - Last synced at: 12 days ago - Pushed at: over 1 year ago - Stars: 7 - Forks: 4

flrs/HampelFilter

Arduino library for identifying outliers with a Hampel filter

Language: C++ - Size: 19.5 KB - Last synced at: about 15 hours ago - Pushed at: over 3 years ago - Stars: 31 - Forks: 5

Jingkang50/OpenOOD

Benchmarking Generalized Out-of-Distribution Detection

Language: Python - Size: 78.3 MB - Last synced at: 29 days ago - Pushed at: about 1 month ago - Stars: 962 - Forks: 136

datamllab/tods

TODS: An Automated Time-series Outlier Detection System

Language: Python - Size: 31.2 MB - Last synced at: 29 days ago - Pushed at: almost 2 years ago - Stars: 1,567 - Forks: 202

Anaxagor/applybn

Multi-purpose data analysis framework based on Bayesian networks and Causal models

Language: Python - Size: 145 MB - Last synced at: 30 days ago - Pushed at: 30 days ago - Stars: 16 - Forks: 4

Lucchh/eilof

Efficient Incremental Local Outlier Factor (EILOF) for Online Anomaly Detection

Language: Jupyter Notebook - Size: 8.12 MB - Last synced at: about 14 hours ago - Pushed at: 29 days ago - Stars: 1 - Forks: 0

fayzi-dev/PyOD

PyOD (Python Outlier Detection)

Language: Python - Size: 127 KB - Last synced at: 15 days ago - Pushed at: 8 months ago - Stars: 3 - Forks: 0

Raminghorbanii/PATE

Official repository for “PATE: Proximity-Aware Time series anomaly Evaluation”.

Language: Python - Size: 292 KB - Last synced at: 28 days ago - Pushed at: 6 months ago - Stars: 12 - Forks: 1

DHI/tsod

Anomaly Detection for time series data

Language: Python - Size: 15.6 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 175 - Forks: 18

yzhao062/SUOD

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

Language: Python - Size: 10.9 MB - Last synced at: 28 days ago - Pushed at: 3 months ago - Stars: 387 - Forks: 49

the-Hull/datacleanr

Interactive and Reproducible Data Cleaning

Language: R - Size: 24.1 MB - Last synced at: 7 days ago - Pushed at: about 1 month ago - Stars: 22 - Forks: 5

david-cortes/outliertree

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

Language: C++ - Size: 1.89 MB - Last synced at: 19 days ago - Pushed at: about 1 month ago - Stars: 59 - Forks: 4

david-cortes/isotree

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

Language: C++ - Size: 5.86 MB - Last synced at: 29 days ago - Pushed at: about 1 month ago - Stars: 211 - Forks: 40

tawfikhammad/Data-cleaning-tutorial

In this repo you will know how to deal with outliers, skewness, inconsistency, parsing dates, handle missing values with different techniques, and deal with different datatypes of data (e.g. numerical data and catogrical data)

Language: Jupyter Notebook - Size: 2.39 MB - Last synced at: 6 days ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

Kowd-PauUh/dbsod

Official implementation of "DBSOD: Density-Based Spatial Outlier Detection"

Language: C++ - Size: 32.2 KB - Last synced at: 4 days ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

cleanlab/cleanlab-studio

Client interface to Cleanlab Studio and the Trustworthy Language Model

Language: Python - Size: 3.52 MB - Last synced at: 26 days ago - Pushed at: 4 months ago - Stars: 32 - Forks: 9

Jonkkeyler333/PyOD_ADGE

Challenge de reproducibilidad, Análisis de datos a gran escala, grupo E

Language: Jupyter Notebook - Size: 1.76 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

gagneurlab/FRASER

FRASER - Find RAre Splicing Events in RNA-seq

Language: R - Size: 14.5 MB - Last synced at: 28 days ago - Pushed at: about 1 month ago - Stars: 46 - Forks: 22

helios12/DataScienceProjects

This repo contains projects, tasks and other code which I have developed on a Data Scientist course at SkillFactory.

Language: Jupyter Notebook - Size: 177 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 8 - Forks: 0

gagneurlab/OUTRIDER

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

Language: R - Size: 10.9 MB - Last synced at: 28 days ago - Pushed at: about 1 month ago - Stars: 52 - Forks: 12

safe-graph/DGFraud

A Deep Graph-based Toolbox for Fraud Detection

Language: Python - Size: 80.4 MB - Last synced at: 28 days ago - Pushed at: about 3 years ago - Stars: 731 - Forks: 163

baksho/DEMON-D

Detection of Erroneous or Misannotated sequences in public DNA datasets using deep learning embeddings and outlier detection.

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

zillow/luminaire

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

Language: Python - Size: 16.6 MB - Last synced at: 29 days ago - Pushed at: over 1 year ago - Stars: 780 - Forks: 60

cleanlab/cleanlab

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

Language: Python - Size: 11.5 MB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 10,536 - Forks: 826

g-andrade/aequitas

Fairness regulator and rate limiter

Language: Erlang - Size: 195 KB - Last synced at: 6 days ago - Pushed at: about 3 years ago - Stars: 50 - Forks: 2

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.

Language: Python - Size: 1.73 GB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 1,681 - Forks: 82

elki-project/elki

ELKI Data Mining Toolkit

Language: Java - Size: 55 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 813 - Forks: 325

xuhongzuo/DeepOD

Deep learning-based outlier/anomaly detection

Language: Python - Size: 3.53 MB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 505 - Forks: 58

BloodFlame13/sf_data_science

SF homework

Language: HTML - Size: 8.68 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

faosorios/india

Tools for influence diagnostics in statistical models

Language: R - Size: 574 KB - Last synced at: 10 days ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

Bmonter7/Online-Retail-EDA

This repository contains an end-to-end exploratory data analysis of transactional data from a UK-based online retail store covering the period from December 2010 to November 2011. The goal is to uncover sales trends, customer behavior, and product performance, and to provide actionable recommendations that can guide strategic business decisions.

Language: Jupyter Notebook - Size: 120 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

linkedin/isolation-forest

A distributed Spark/Scala implementation of the isolation forest algorithm for unsupervised outlier detection, featuring support for scalable training and ONNX export for easy cross-platform inference.

Language: Scala - Size: 2.05 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 243 - Forks: 50

databricks-industry-solutions/rare-event-inspection

Kakapo (KAH-kə-poh) implements a standard set of APIs for outlier detection at scale on Databricks. It provides an integration of the vast PyOD library of outlier detection algorithms with MLFlow for tracking and packaging of models and hyperopt for exploring vast, complex and heterogeneous search spaces.

Language: Python - Size: 1.24 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 4

safe-graph/UGFraud

An Unsupervised Graph-based Toolbox for Fraud Detection

Language: Python - Size: 7.11 MB - Last synced at: 24 days ago - Pushed at: about 3 years ago - Stars: 130 - Forks: 26

ChemisTechlabs/q_calc_util

Dixon's Q Test calculator package for Dart

Language: Dart - Size: 83 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0

tobiasschoch/wbacon

Weighted BACON algorithms

Language: C - Size: 2.74 MB - Last synced at: 5 days ago - Pushed at: about 1 month ago - Stars: 3 - Forks: 2

shubham5027/Store-Item-Demand-Forcasting

The "Sales Demand Forecasting Regression Model" project aims to develop a predictive model that forecasts future sales demand based on historical data and relevant influencing factors. The project follows a structured approach, encompassing data collection, preprocessing, model selection, training, evaluation, and deployment.

Language: Jupyter Notebook - Size: 5.44 MB - Last synced at: about 24 hours ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 0

AishwaryaGade02/Predicting-90thpercentile-of-annual-maximum-streamflow-using-Linear-Regression

Robust regression model that predicts the 90th percentile of annual max streamflow using Regression Analysis in R

Language: R - Size: 7.81 KB - Last synced at: 14 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

VuDuyLong2006/alpha-drift

Alpha Drift is an experimental platform for developing, testing, and analyzing advanced AI-driven decision-making algorithms, with a focus on adaptive learning, real-time data processing, and web3 trading automation.

Language: HTML - Size: 118 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

rezaalfariziii/java-github-user-activity

A simple command line interface (CLI) to fetch the recent activity of a GitHub user built with Java and Github API.

Language: Java - Size: 19.5 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

jlaskow/Kaggle-House-Price-Predictions-in-Ames-Iowa

The following is a group Kaggle project using multiple linear regression models to predict housing prices in Ames, Iowa. The final Kaggle Score of all price predictions was 0.20623.

Size: 10.8 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

cyber220/car-price-prediction

A machine learning-powered web application that predicts the price of used cars based on essential input features such as brand, model, year of purchase, fuel type, and kilometers driven. This project utilizes a Linear Regression model and provides a responsive web interface built with Flask.

Language: Jupyter Notebook - Size: 112 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

salar96/MEP-Orthogonal-NMF

Clustering and resource allocation using Deterministic Annealing Approach and Orthogonal Non-negative Matrix Factorization O-(NMF)

Language: Jupyter Notebook - Size: 1.31 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 10 - Forks: 3

deel-ai/influenciae

👋 Influenciae is a Tensorflow Toolbox for Influence Functions

Language: Python - Size: 2.03 MB - Last synced at: 5 days ago - Pushed at: about 1 year ago - Stars: 63 - Forks: 5

Ehsan-Behzadi/Online-Retail-Data-Analysis-and-Preprocessing

This project analyzes and preprocesses the Online Retail dataset to uncover insights into customer purchasing behaviors, sales trends, and product performance. It includes data cleaning, exploration, and visualization, with the goal of enhancing understanding of online retail dynamics.

Language: Jupyter Notebook - Size: 1.86 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

edwardnhw/Pokemon_Outlier_Detection

This project Identify unusual Pokémon based on their statistical profiles using PCA and DBSCAN clustering. This project explores Pokémon base stats and physical attributes to uncover hidden outliers. Includes data visualization, auto-tuned clustering, and insights into Legendary and Mythical Pokémon.

Language: Jupyter Notebook - Size: 379 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

datamllab/pyodds

An End-to-end Outlier Detection System

Language: Python - Size: 617 KB - Last synced at: 16 days ago - Pushed at: about 2 years ago - Stars: 253 - Forks: 39

sergiud/dixonstat

Identification and rejection of outliers using Dixon's r statistics

Language: Python - Size: 34.2 KB - Last synced at: about 2 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

rashi12121/Blu-Cab-Service-Efficiency-Analysis

This project analyzes ride data and presents interactive visualizations in Power BI. To enhance customer experience and operational efficiency, the company sought insights into how booking confirmations perform during peak and non-peak hours and the impact of outliers on booking outcome times.

Size: 775 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

cerlymarco/tsmoothie

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

Language: Jupyter Notebook - Size: 2.89 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 756 - Forks: 104

Shria-Bhardwaj/Exploratory-Data-Analysis-on-Vehicle-Insurance-Dataset

Exploratory Data Analysis (EDA) on Vehicle Insurance Dataset This project performs an in-depth exploratory data analysis on a large vehicle insurance dataset to uncover patterns and insights that can assist in understanding insurance claim behavior.

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

katerinaharana/Team-2-Project

Predicting the City Cycle Fuel Consumption in MPG of a Car. A Classification Problem

Language: Jupyter Notebook - Size: 26.6 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 2

redBorder/rb-aioutliers

RedBorder Outliers Detector with Keras

Language: Python - Size: 2.13 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 5 - Forks: 3

SunnyRao07/stroke-risk-prediction

Predicting stroke risk using machine learning models based on healthcare and demographic data.

Language: Jupyter Notebook - Size: 1.63 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

syrte/robustgp

Robust Gaussian Process with Iterative Trimming

Language: Jupyter Notebook - Size: 910 KB - Last synced at: 28 days ago - Pushed at: about 4 years ago - Stars: 23 - Forks: 5

Ehsan-Behzadi/Breast-Cancer-Prediction-Model

This project implements a machine learning model to predict breast cancer diagnosis. Utilizing techniques such as data preprocessing, feature selection, and various algorithms, the model aims to assist in early detection and improve healthcare outcomes. Explore the repository to understand the methodology and technologies used in this project.

Language: Jupyter Notebook - Size: 793 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

EfthymiosCosta/SONO

The SONO (Scores Of Nominal Outlyingness) R package includes functions that can be used for detecting outliers in data sets consisting of nominal variables.

Language: HTML - Size: 1.18 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

NVISOsecurity/ee-outliers 📦

Open-source framework to detect outliers in Elasticsearch events

Language: Python - Size: 3.92 MB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 209 - Forks: 33

zahramh99/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: 43.9 KB - Last synced at: 8 days ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Jingkang50/OODSurvey

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

Language: Jupyter Notebook - Size: 2.08 MB - Last synced at: 27 days ago - Pushed at: over 2 years ago - Stars: 455 - Forks: 40

mayer79/outForest

Outlier detection based on random forest models

Language: R - Size: 2.63 MB - Last synced at: 1 day ago - Pushed at: 3 months ago - Stars: 13 - Forks: 2

yzhao062/pytod

TOD: GPU-accelerated Outlier Detection via Tensor Operations

Language: Python - Size: 13.1 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 180 - Forks: 24

NeuralClassifier/ParameterFree-HDBSCAN-Outlier-Detection

This repository includes the code for manuscript, "Unsupervised Parameter-free Outlier Detection using HDBSCAN* Outlier Profiles", published in IEEE BigData 2024

Language: Python - Size: 39.1 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 1

KonovalovaDS/PROJECTS

A sight on my work

Language: HTML - Size: 27 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

Related Keywords
outlier-detection 728 machine-learning 180 anomaly-detection 158 python 145 data-science 100 data-analysis 72 data-visualization 60 data-cleaning 57 exploratory-data-analysis 55 outlier-removal 51 pandas 46 deep-learning 46 time-series 46 linear-regression 43 feature-engineering 43 numpy 37 clustering 36 data-mining 34 unsupervised-learning 34 pca 31 outliers 30 machine-learning-algorithms 30 regression 29 logistic-regression 29 eda 28 classification 27 python3 27 seaborn 26 matplotlib 26 fraud-detection 25 missing-values 25 time-series-analysis 24 visualization 23 data-preprocessing 23 isolation-forest 22 statistics 22 random-forest 22 r 21 scikit-learn 21 feature-selection 19 pytorch 19 out-of-distribution-detection 18 novelty-detection 18 dimensionality-reduction 18 sklearn 16 kmeans-clustering 16 boxplot 15 preprocessing 15 regression-models 14 scatter-plot 14 statistical-analysis 14 predictive-modeling 14 autoencoder 14 correlation-analysis 14 clustering-algorithm 13 anomaly 13 correlation 13 feature-extraction 12 feature-scaling 12 cross-validation 12 imbalanced-data 12 svm 12 outlier 12 z-score 11 pandas-dataframe 11 xgboost 11 decision-trees 11 pca-analysis 10 datacleaning 10 data-transformation 10 tensorflow 9 dbscan-clustering 9 normalization 9 datascience 9 imputation 9 robust-statistics 9 nlp 9 knn 9 ml 9 hyperparameter-tuning 9 jupyter-notebook 9 supervised-learning 9 flask 9 graph-neural-networks 8 natural-language-processing 8 scaling 8 rna-seq 8 local-outlier-factor 8 categorical-data 8 dbscan 8 ensemble-learning 8 heatmap 8 neural-networks 8 java 8 univariate-analysis 8 unsupervised-machine-learning 8 matplotlib-pyplot 8 bivariate-analysis 8 iqr 8 forecasting 8