luka-kovacevic

Luka Kovačević's starred repositories

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.

Language:PythonMIT693800

awesome-neural-sbi

Community-sourced list of papers and resources on neural simulation-based inference.

MIT7400

BayesFlow

A Python library for amortized Bayesian workflows using generative neural networks.

Language:PythonMIT28600

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Language:PythonBSD-3-Clause2210300

invicta-2024

Official repository of the INVICTA Spring School 2024.

Language:Jupyter Notebook1500

cbed

Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.

Language:PythonMIT2000

dibs

DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021

Language:PythonMIT4300

structmcmc

A set of tools for performing structural inference for Bayesian Networks using MCMC in R

Language:RNOASSERTION1000

site

My personal site ✌🏼.

Language:HTML37300

al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

Language:HTMLMIT1010800