nikola-sur
Statistics PhD candidate at the University of British Columbia with research interests in scalable Bayesian inference and machine learning.
University of British ColumbiaVancouver, BC
Pinned Repositories
Pigeons.jl
Sampling from intractable distributions, with support for distributed and parallel methods
6.S091-causality-2024
Ax
Adaptive Experimentation Platform
botorch
Bayesian optimization in PyTorch
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)
seoul-data-analysis
Analysis of the Seoul Biking Data - EDA, Feature Engineering, Model Training
SQL-complete-tutorial
This is an SQL complete tutorial, which covers MySQL fundamentals, as well as advanced topics. It's created by Mosh Hamedani.
SQL-examples
Examples of common SQL commands
teachr
Teach reproducible data science by making your course material reproducible
nikola-sur's Repositories
nikola-sur/teachr
Teach reproducible data science by making your course material reproducible
nikola-sur/AbstractMCMC.jl
Abstract types and interfaces for Markov chain Monte Carlo methods
nikola-sur/AdvancedHMC.jl
Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms
nikola-sur/arxiv-biorxiv-search
Python script to facilitate easy automatic pulling of new papers from Arxiv, Biorxiv, and Medrxiv with custom search features.
nikola-sur/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.
nikola-sur/Quantum-Computing
An Introduction to Quantum Computing for Statisticians. Includes code and my presentation materials.
nikola-sur/blangSDK
Blang's software development kit
nikola-sur/CLDA
Code for my STAT 548 report with Daniel McDonald. See also https://github.com/nikola-sur/LDA-Compression
nikola-sur/DataStructures.jl
Julia implementation of Data structures
nikola-sur/DifferentialEquations.jl
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components
nikola-sur/EvoTrees
R package wrapping EvoTrees.jl
nikola-sur/Gaussian-Process-Regression
An Introduction to Kriging. Includes R code and my presentation materials.
nikola-sur/Goodness-of-Fit-Examples
Examples of existing goodness-of-fit tests for logistic regression models. Includes some R code and presentation materials.
nikola-sur/mcmcse.jl
A Julia port of the R package mcmcse
nikola-sur/MCMCTempering.jl
Implementations of parallel and simulated tempering algorithms to augment samplers with tempering capabilities
nikola-sur/miselect
Variable Selection for Multiply Imputed Data
nikola-sur/nextflow-notes-nik
A template and short tutorial on nextflow for computational statisticians
nikola-sur/ptbenchmark
nikola-sur/SciMLBook
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
nikola-sur/shortex
LaTeX header file with useful definitions
nikola-sur/SortingAlgorithms.jl
extra sorting algorithms extending Julia's sorting API
nikola-sur/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
nikola-sur/ubc-stat-grad.github.io
nikola-sur/ZigZagBoomerang.jl
Sleek implementations of the ZigZag, Boomerang and other assorted piecewise deterministic Markov processes for Markov Chain Monte Carlo including Sticky PDMPs for variable selection