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128 search results found

Extended Isolation Forests for Anomaly/Outlier Detection in R

Simple machine learning tool in Python (>=3.7) computing an anomaly score of seismic waveform amplitudes. By using a pre-trained Isolation forest model, the program can be used for identification of outliers in semismic data, assign robustness weights, or check instruments and metadata errors

Unsupervised Out Of Distribution Detection By Maximum Classifier Discrepancy ⭐ 7

Reproducing experimental results of OOD-by-MCD [Yu and Aizawa et al. ICCV 2019]

Robust Nonlinear Regression ⭐ 7

Robust Regression for arbitrary non-linear functions

Lycorisad ⭐ 6

An elegant outlier detection algorithm framework based on AutoEncoder.

Isconna: Streaming Anomaly Detection with Frequency and Patterns

Text preprocessing package for use in NLP tasks https://pypi.org/project/textcl/

Multivariate Outlierdetection In Contingency Tables

Robust Chauvenet Rejection: RCR is advanced, but easy to use, outlier rejection.

ICDM19 - Anomaly Detection / Outlier Detection for Mixed data

Java Outliers ⭐ 6

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

Rapid Outlier Detection ⭐ 6

Rapid Outlier Detection via Sampling

PyPandas, a data cleaning framework for Spark

Car Price Prediction Highly Comprehensive Linear Regression Project ⭐ 6

A Linear Regression model to predict the car prices for the U.S market to help a new entrant understand important pricing variables in the U.S automobile industry. A highly comprehensive analysis with detailed explanation of all steps; data cleaning, exploration, visualization, feature selection, model building, evaluation & MLR assumptions validity.

Diffusionnet ⭐ 6

Diffusion Net TensorFlow implementation

Awesome One Class Classification ⭐ 6

A curated list of awesome resources dedicated to One Class Classification.

Mep Orthogonal Nmf ⭐ 6

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

Oneclassclassifier ⭐ 6

One-class classifiers for anomaly detection (outlier detection)

Implementation of Robust PCA and Robust Deep Autoencoder over Time Series

Hyperbolicfitdll ⭐ 5

This is an open source library that can be used to autofocus telescopes. It uses a novel algorithm based on robust statistics. For a preprint, see https://arxiv.org/abs/2201.12466 .The library is currently used in Astro Photography tool (APT) https://www.astrophotography.app/

Ccmmoutliervar Code ⭐ 5

Replication code for Addressing COVID-19 Outliers in BVARs with Stochastic Volatility“ by Carriero, Clark, Marcellino and Mertens (2021), Work in Progress

Machine Learning In Python ⭐ 5

Machine learning algorithms repository

Mts_outlierdetection ⭐ 5

Outlier Detection ⭐ 5

Detect outliers with 3 methods: LOF, DBSCAN and one-class SVM

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.

Wb_gdp_predict ⭐ 5

Predicting next year's GDP using ML (Python)

Breast Cancer Visualization And Classification ⭐ 5

This analysis aims to observe which features are most helpful in predicting malignant or benign cancer and to see general trends that may aid us in model selection and hyper parameter selection.

Robust Gaussian Process with Iterative Trimming

101-128 of 128 search results

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