Generating 3D CAD models with manifolds trained by Gaussian Process Latent Variable Models
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Updated
Oct 24, 2016 - MATLAB
Generating 3D CAD models with manifolds trained by Gaussian Process Latent Variable Models
Dimensionality reduction based on distance preservation to local mean for symmetric positive definite matrices
Unscented estimation and adaptive control package
Implementations of MAP, Naive Bayes, PCA, MDS, ISOMAP and some compression
Tensorflow implementation of adversarial auto-encoder for MNIST
Documentation for Cruiser Project. Video: https://youtu.be/8BLD3deT1LY
All of my math stuff from grad school.
Open Assessment for Machine Learning and Applications module. This assessment scored 83% and was worth 8 credits of my third year.
Onboard ROS programs for Cruiser project, implemented on an intelligent drone for security purpose.
Consulting Project with Manifold.co: Modeling System Resource Usage for Predictive Scheduling
computer vision
Implements local parameterization operators of Google Ceres regarding matrix manifolds such as Stiefel, Grassmann, Birkhoff manifolds and etc.
Code to smoothly patch together local functions (linear/ polynomial) defined on charts of a manifold to give a global approximation using Partitions of Unity (PoU)
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