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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
HyperMinHash: Bringing intersections to HyperLogLog
implement some algorithms of 6d pose estimation
Face recognition and analytics library based on deep neural networks and ONNX runtime
Skill estimation systems for multiplayer competitions
System Identification toolbox, compatible with ControlSystems.jl
[ECCV 2022] StyleLight: HDR Panorama Generation for Lighting Estimation and Editing
[ECCV 2022] StyleLight: HDR Panorama Generation for Lighting Estimation and Editing
Official Pytorch implementation of "Towards Robust and Unconstrained Full Range of Rotation Head Pose Estimation" IEEE TIP 24
Using A.I. and computer vision to build a virtual personal fitness trainer. (Most Startup-Viable Hack - HackNYU2018)
Using A.I. and computer vision to build a virtual personal fitness trainer. (Most Startup-Viable Hack - HackNYU2018)
State estimation, smoothing and parameter estimation using Kalman and particle filters.
Orbit Determination with Python