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.
A Person Of Interest identifier based on ENRON CORPUS data.
Interactive and Reproducible Data Cleaning
[ICML 2024] Outlier-Efficient Hopfield Layers for Large Transformer-Based Models
Creating Regression Models Of Building Emissions On Google Cloud
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.
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/
Contains our Approach for the competition organized at Udyam'21
The official implementation code of Paper "PointCVaR: Risk-optimized Outlier Removal for Robust 3D Point Cloud Classification" in AAAI 2024 (Oral)
experiment code for our NIPS'18 paper
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