Olga Kahn's repositories
chainlink_tvs
Automates Total Value Secured dashboard.
pymc3
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano
rethinking
Statistical Rethinking course and book package
awesome-machine-learning-interpretability
A curated list of awesome machine learning interpretability resources.
bayesian-stats-simulation-tutorial
Bayesian statistical modelling using numpy and PyMC3. Telling stories using the language of probability. And more!
chatbot-ui
An open source ChatGPT UI.
COVID-19
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
covid19
Analyses about the COVID-19 virus
gan-tutorial-pytorch
GAN tutorial in pytorch
hacknights
New York Health Artificial Intelligence Society Hack Nights GitHub repo.
how-to-contribute-to-open-source
A guide to contributing to open source
intro_stat_modeling_2017
Introduction to Statistical Modeling with Python (PyCon 2017)
lifelines
Survival analysis in Python
missing-data-workshop
Matt Brems' Missing Data Workshop
ml-workshop-1-of-4
Introduction to Machine learning with Python, 4h interactive workshop
MultiHopKG
Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout
olgadk7.github.io
:ramen: Minimalist Jekyll Template
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
pymc-examples
Examples of PyMC3 models, including a library of Jupyter notebooks.
resources
PyMC3 educational resources