larryshamalama
Biostatistics PhD student @ U of Toronto Core Dev @pymc-devs
University of TorontoToronto, Canada
Pinned Repositories
aeppl
Tools for an Aesara-based PPL.
aemcmc
AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.
bnp-reading-group
DataCup18
github-tutorial-oct25
Image-Denoising-RJMCMC
🖼️ Image Denoising Using Reversible Markov Chain Monte Carlo
larryshamalama
sta237h1f-2023
pymc
Bayesian Modeling and Probabilistic Programming in Python
pymc-marketing
Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.
larryshamalama's Repositories
larryshamalama/sta237h1f-2023
larryshamalama/aemcmc
AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.
larryshamalama/larryshamalama
larryshamalama/aeppl
Tools for an Aesara-based PPL.
larryshamalama/aesara
Aesara is a Python library that allows one to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays.
larryshamalama/archive_larryshamalama.github.io
A beautiful, simple, clean, and responsive Jekyll theme for academics
larryshamalama/bayes_spec
A Bayesian Spectral Line Modeling Framework
larryshamalama/canbest
larryshamalama/ches-round-nov-2023
This is a demo during the CHES round
larryshamalama/chirho
An experimental language for causal reasoning
larryshamalama/chl5207-2024
larryshamalama/chl5250h-feb15-tutorial
larryshamalama/ddtlcm
larryshamalama/delta-tutorial-2024
larryshamalama/empty-repo
testing testing allo allo
larryshamalama/ggplot2
An implementation of the Grammar of Graphics in R
larryshamalama/git-dsi-interview
larryshamalama/hdwg-2022-github-workshop
Tutorial for HDWG workshop on Monday, September 26, 2022 and Monday, October 31, 2022
larryshamalama/hdwg-sept-25-2023
larryshamalama/larryshamalama.github.io
A beautiful, simple, clean, and responsive Jekyll theme for academics
larryshamalama/llama
Inference code for LLaMA models
larryshamalama/nimbleHMC
HMC and other derivative-based MCMC sampling algorithms for the nimble package
larryshamalama/pivmet
R pivmet package for pivotal relabelling and MUSKmeans
larryshamalama/pyitr
larryshamalama/pymc
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara
larryshamalama/pymc-experimental
larryshamalama/pymc-marketing
Bayesian marketing toolbox in PyMC. Media Mix, CLV models and more.
larryshamalama/pytensor
PyTensor is a fork of Aesara -- a Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays.
larryshamalama/strive-lab-python-tutorial
✏️ A short tutorial with discussions on R, Python and their pros & cons
larryshamalama/target-trial-workshop