outlier-removal 开源项目推荐（139 个）

cerlymarco /tsmoothie

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

gabyx /ApproxMVBB

Fast algorithms to compute an approximation of the minimal volume oriented bounding box of a point cloud in 3D.

ahmetozlu /augmented_reality

使用 OpenCV 和 OpenGL 的“无标记增强现实”。

qinzheng93 /GraphSCNet

[CVPR2023] Deep Graph-based Spatial Consistency for Robust Non-rigid Point Cloud Registration

kmilo17pet /qlibs

面向嵌入式系统的实用库集合：信号平滑、PID 控制、模糊逻辑、定点数学等...

raamana /visualqc

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

lajoiepy /robust_multirobot_map_merging

This repository is deprecated, see https://github.com/lajoiepy/distributed-mapper or https://github.com/MISTLab/Swarm-SLAM

geekquad /Fraud-Detection

A Person Of Interest identifier based on ENRON CORPUS data.

vikrantarora25 /Car-Price-Prediction-Highly-Comprehensive-Linear-Regression-Project-

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 vali…

NYUBigDataProject /SparkClean

A Scalable Data Cleaning Library for PySpark.

kmilo17pet /qlibs-cpp

qlibs 的 C++ 版本，一个面向嵌入式系统的实用库集合：信号平滑、PID 控制、模糊逻辑、定点数学等...

the-Hull /datacleanr

Interactive and Reproducible Data Cleaning

MAGICS-LAB /OutEffHop

[ICML 2024] Outlier-Efficient Hopfield Layers for Large Transformer-Based Models

mdh266 /NYCBuildingEnergyUse

Creating Regression Models Of Building Emissions On Google Cloud

MAGICS-LAB /GERM

[ICML 2025] Fast and Low-Cost Genomic Foundation Models via Outlier Removal.

shinke-li /pointcvar

The official implementation code of Paper "PointCVaR: Risk-optimized Outlier Removal for Robust 3D Point Cloud Classification" in AAAI 2024 (Oral)

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.

peterwhycs /T-BEAR

Detect EEG artifacts, outliers, or anomalies using supervised machine learning.

elmarmertens /CCMMoutlierVAR-code

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

bschulz81 /hyperbolicfitdll

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/