DonnaVakalis

neuromancer

Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.

LLM-Poster-Recommender

puzpy

Python library for reading and writing across lite crossword puzzle .puz files.

rllib-energyplus

Simple EnergyPlus environments for control optimization using reinforcement learning

learned_optimization

mubes-ubem

Python-based tool for urban building energy modelling (UBEM)

gflownet

Generative Flow Networks - GFlowNet

housing-archetypes

Library of Canadian housing archetypes for use in energy modelling

Awesome-GFlowNets

A curated list of resources about generative flow networks (GFlowNets).

pml2-book

Probabilistic Machine Learning: Advanced Topics

causaldag

Python package for the creation, manipulation, and learning of Causal DAGs

python-causality-handbook

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

The-Elements-of-Statistical-Learning-Python-Notebooks

A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book

datathon_intStdnts

data_viz_club

Data viz club projects

PythonForRUsers

Notebooks to introduce R users to Python

viz_kidz

analysis of kids' baby connect data from age 0 to ...

blog_posts_prep

stat-learning

Notes and exercise attempts for "An Introduction to Statistical Learning"

twint

An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.

2015

Public material for CS109