An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.
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Updated
Feb 13, 2024 - C++
An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.
Pieces of code that have appeared on my blog with a focus on stochastic simulations.
Boosted trees in Julia
📈📄👀A lookup repo for a variety of discrete and continuous distributions (incl. Beta, Binomial, Cauchy, Chi-squared, Geometric, Hypergeometric, Normal & Poisson)
Poisson disk sampling in arbitrary dimensions
A Julia Toolbox for Geophysical Modeling and Inverse Problems
A JS library that predicts soccer match outcomes using basic mathematics
Density Functional Theory with plane waves basis, applied on a 'quantum dot'. Volumetric visualization of orbitals with VTK
PURE-LET image deconvolution
State space models for categorization of replay content from multiunit spiking activity. Deng et al. 2016
Fast Poisson Random Numbers in pure Julia for scientific machine learning (SciML)
Density Functional Theory in real space, for atoms, LDA and LSDA
Estimate the frequency and severity of claims to compute prior and posterior premiums. The GLM method is used with Poisson, Negative Binomial, Gamma, and Log-Norm Distribution.
Solving Poisson equation using a spectral method, also introducing VTK which will probably be used for other projects
A Python library for working with and training Hidden Markov Models with Poisson emissions.
A poisson e-test for python.
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