GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.
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Updated
Aug 5, 2026 - Jupyter Notebook
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.
Official Pytorch implementation of 6DRepNet: 6D Rotation representation for unconstrained head pose estimation.
Keeping track of what is going on with the latest DiD innovations.
a toolkit for pose estimation using deep learning
Data Analysis with Bootstrapped ESTimation
Face recognition and analytics library based on deep neural networks and ONNX runtime
implement some algorithms of 6d pose estimation
Data Analysis with Bootstrap Estimation in R
Skill estimation systems for multiplayer competitions
Open multilingual construction cost database for AI Agents - 55K+ work items, 27K+ resources, 30 regions. Semantic search via Qdrant vector DB
Official Pytorch implementation of "Towards Robust and Unconstrained Full Range of Rotation Head Pose Estimation" IEEE TIP 24
State estimation, smoothing and parameter estimation using Kalman and particle filters.
Distributed Planning Poker
System Identification toolbox, compatible with ControlSystems.jl
[ECCV 2022] StyleLight: HDR Panorama Generation for Lighting Estimation and Editing
Using A.I. and computer vision to build a virtual personal fitness trainer. (Most Startup-Viable Hack - HackNYU2018)
Orbit Determination with Python
Simple and powerful progress time estimation (ETA) for JavaScript
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