henriarnoUG's Stars
causaltext/causal-text-papers
Curated research at the intersection of causal inference and natural language processing.
cGNF-Dev/cGNF
A Python Module for Implementing causal-Graphical Normalizing Flows.
frankaging/Interchange-Intervention-Training
The codebase for Inducing Causal Structure for Interpretable Neural Networks
nlpaueb/edgar-crawler
The only open-source toolkit that can download EDGAR financial reports and extract textual data from specific item sections into nice and clean JSON files.
automl/TabPFN
Official implementation of the TabPFN paper (https://arxiv.org/abs/2207.01848) and the tabpfn package.
sowide/bankruptcy_dataset
Bankruptcy prediction dataset related to the american companies in the stock market (1999-2018)
maastrichtlawtech/awesome-legal-nlp
📖 A curated list of LegalNLP resources from all around the web.
prabaey/NBN-understudy
Code to reproduce results in "Neural Bayesian Network Understudy"
anishazaveri/austen_plots
Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".
xiangyu-sun-789/NTS-NOTEARS
Code for paper: NTS-NOTEARS: Learning Nonparametric DBNs With Prior Knowledge
mckinsey/causalnex
A Python library that helps data scientists to infer causation rather than observing correlation.
xunzheng/notears
DAGs with NO TEARS: Continuous Optimization for Structure Learning
loicbit/MessageBulletinBoard