giankdiluvi
PhD candidate in Statistics @ UBC. Interested in developing algorithms for Bayesian inference over discrete variables
University of British ColumbiaVancouver, Canada
giankdiluvi's Stars
JuliaLang/julia
The Julia Programming Language
huggingface/datasets
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
phlippe/uvadlc_notebooks
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
patrick-kidger/equinox
Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
GiovineItalia/Gadfly.jl
Crafty statistical graphics for Julia.
JuliaPlots/Plots.jl
Powerful convenience for Julia visualizations and data analysis
JuliaData/DataFrames.jl
In-memory tabular data in Julia
bayesiains/nflows
Normalizing flows in PyTorch
aclements/latexrun
A 21st century LaTeX wrapper
probml/ssm-book
Interactive textbook on state-space models
JuliaOptimalTransport/OptimalTransport.jl
Optimal transport algorithms for Julia
Julia-Tempering/Pigeons.jl
Sampling from intractable distributions, with support for distributed and parallel methods
UBC-R-Study-group/studyGroup
UBC R Study Group
ermongroup/BCD-Nets
Code for `BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery`, Neurips 2021
trevorcampbell/shortex
LaTeX header file with useful definitions
CamDavidsonPilon/autograd-gamma
NotImplementedError: VJP of gammainc wrt argnum 0 not defined
YunyiShen/weird-posteriors
Posterior with interesting shapes from actually used models
Julia-Tempering/SplittableRandoms.jl
A minimal Julia translation of Java SplittableRandoms.
chiukenny/Tests-for-Distributional-Symmetry
Non-parametric hypothesis tests for identifying distributional group symmetries from data
miraep8/Minimal_IMAP_MCMC
Minimal IMAP MCMC is a rapid Bayesian approach to Causal Structure Learning. It is in Python. In collaboration with Tamara Broderick's lab and based on algorithm by Raj Agrawal
NaitongChen/SparseHamiltonianFlows.jl
UBC-Stat-ML/NRST.jl
A Julia package implementing Non-reversible Simulated Tempering
agrawalraj/minimap
evsi8432/sublinear-HMM-inference
The repository contains materials related to performing inference for hidden Markov models in sub-linear time
kejzlarv/variational_inference_module
Supplementary materials to "Introducing Variational Inference in Statistics and Data Science Curriculum" by Kejzlar and Hu (2023)
xijohnny/nserc_stats
nserc_stats
gpleiss/gp_bo_demos
Various toy demos of Gaussian processes and Bayesian optimization
ubc-bayes/mixinf
zuhengxu/ErgFlow.jl
This is Ergodic variational flo w packge repo
zuhengxu/Ergodic-variational-flow-code
Code that reproduce experiments in [Ergodic variational flow](https://arxiv.org/pdf/2205.07475.pdf)