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

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

💎 "Marker-less Augmented Reality" with OpenCV and OpenGL.

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

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

A collection of useful libraries for embedded systems : signal smoothing, PID control, Fuzzy Logic, fixed-point math and more...

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

A command-line utility program for automating the trivial, frequently occurring data preparation tasks: missing value interpolation, outlier removal, and encoding categorical variables.

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…

A Scalable Data Cleaning Library for PySpark.

Interactive and Reproducible Data Cleaning

Creating Regression Models Of Building Emissions On Google Cloud

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

A Person Of Interest identifier based on ENRON CORPUS data.

C++ version of qlibs, a collection of useful libraries for embedded systems : signal smoothing, PID control, Fuzzy Logic, fixed-point math and more...

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

Contains our Approach for the competition organized at Udyam'21

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/

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

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.