nikola-sur
Statistics PhD candidate at the University of British Columbia with research interests in scalable Bayesian inference.
University of British ColumbiaVancouver, BC
Pinned Repositories
autoMALA-mev
MCMC Evaluation and Validation for autoMALA
Pigeons.jl
Sampling from intractable distributions, with support for distributed and parallel methods
AbstractMCMC.jl
Abstract types and interfaces for Markov chain Monte Carlo methods
AdvancedHMC.jl
Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms
FastRCode
My presentation for the Scientific Programming Study Group at SFU (slides in progress). "Let's Make Your R Code FastR: Part 1 (Introduction)"
goodGLM
A generalized Hosmer-Lemeshow goodness-of-fit test for a family of generalized linear models (GLMs)
Joint-Seminar-Homepage
Code for the SFU/UBC Joint Statistics Seminar website. I am organizing this seminar as the President of the SFU Statistics and Actuarial Science Graduate Caucus, along with other graduate students.
Quantum-Computing
An Introduction to Quantum Computing for Statisticians. Includes code and my presentation materials.
teachr
Teach reproducible data science by making your course material reproducible
bl-vpt
Variational PT plug-in for Blang
nikola-sur's Repositories
nikola-sur/goodGLM
A generalized Hosmer-Lemeshow goodness-of-fit test for a family of generalized linear models (GLMs)
nikola-sur/Ax
Adaptive Experimentation Platform
nikola-sur/Bijectors.jl
Implementation of normalising flows and constrained random variable transformations
nikola-sur/botorch
Bayesian optimization in PyTorch
nikola-sur/bridgestan
BridgeStan provides efficient in-memory access through Python, Julia, and R to the methods of a Stan model.
nikola-sur/Capse.jl
nikola-sur/cmdstan
CmdStan, the command line interface to Stan
nikola-sur/Comrade.jl
nikola-sur/DecisionTree.jl
Julia implementation of Decision Tree (CART) and Random Forest algorithms
nikola-sur/diffeqr
Solving differential equations in R using DifferentialEquations.jl and the SciML Scientific Machine Learning ecosystem
nikola-sur/DSP.jl
Filter design, periodograms, window functions, and other digital signal processing functionality
nikola-sur/DynamicPPL.jl
Implementation of domain-specific language (DSL) for dynamic probabilistic programming
nikola-sur/dynesty
Dynamic Nested Sampling package for computing Bayesian posteriors and evidences
nikola-sur/Dynesty.jl
nikola-sur/Gen.jl
A general-purpose probabilistic programming system with programmable inference
nikola-sur/gpufun
nikola-sur/HypothesisTests.jl
Hypothesis tests for Julia
nikola-sur/is-gpu_playground
nikola-sur/javascript-course
nikola-sur/julia
The Julia Programming Language
nikola-sur/JuliaCall
Embed Julia in R
nikola-sur/JuliaConSubmission.jl
An example package for submissions to JuliaCon
nikola-sur/MicroCanonicalHMC.jl
Implementation of Arxiv:2212.08549 in Julia
nikola-sur/Octofitter.jl
Octofitter is a Julia package for performing Bayesian inference against direct images of exoplanets, relative astrometry, and astrometric acceleration of the host star.
nikola-sur/posteriordb
Database with posteriors of interest for Bayesian inference
nikola-sur/posteriordb-r
nikola-sur/sockeye-demo
Useful information for conda + Julia + Nextflow + Sockeye
nikola-sur/stan
Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
nikola-sur/StatsPlots.jl
Statistical plotting recipes for Plots.jl
nikola-sur/test-ipynb