Aleksander Molak's repositories
Barabasi-Albert_Network
Barabási–Albert Network. A Step-by-Step Model with Visualizations created in Python 3.
talks-and-workshops
Materials for conference talks and workshops
blogs-code
Code for blog posts.
huber-causal-analysis
Jupyter Notebook adaptation of the code from Huber (2023) - Causal Analysis
causalpython
Repository with resources for Causal Python
bayesian-stuff
Various stuff related to Bayesian statistics and inference.
graph-neural-networks
Notes, code and experiemnts with graph neural networks (GNNs)
cmc-learner
Implementation of Conformal Monte Carlo (CMC) learner
dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
GRAPL
GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
math
Notes on math
ml-ops
Notes, templates on ML Ops
ML_Concepts
💡 This repo contains notebooks and materials related to various machine learning and information theory concepts.
nmslib
Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.
statistics
Statistical concepts and implementations
trustworthyAI
trustworthy AI related projects