RadoslavaS

ccg-childhood-obesity

Analysis code

Causality-Tutorial

MCD

Implementation of the ICML 2024 paper "Discovering Mixtures of Structural Causal Models from Time Series Data"

DAG-GNN

clusterSMART

conformal-load-forecasting

RICB

Code for the paper "Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation"

tmle3shift

🎯 :game_die: Targeted Learning of the Causal Effects of Stochastic Interventions

ChebyKAN

Kolmogorov-Arnold Networks (KAN) using Chebyshev polynomials instead of B-splines.

kanrl

Kolmogorov-Arnold Network for Reinforcement Leaning, initial experiments

pykan

Kolmogorov Arnold Networks

biostatistics

Biostatistics resources : reading list, RMarkdown notebooks, and more!

CDANs

tlverse-handbook

🎯 :closed_book: Targeted Learning in R: A Causal Data Science Handbook

causalDisco

Tools for causal discovery in R

BRIGHTEN-Data-Release

hte3

Causal machine learning pipeline using tlverse/sl3

Transformers_And_LLM_Are_What_You_Dont_Need

The best repository showing why transformers might not be the answer for time series forecasting and showcasing the best SOTA non transformer models.

JMbayes2

Extended Joint Models for Longitudinal and Survival Data

2020-PGM-structural

Experiments for the paper "Structural Causal Models Are (Solvable by) Credal Networks"

enbis-2024

The Anatomy of a Machine Learning Pipeline

deepscm

Repository for Deep Structural Causal Models for Tractable Counterfactual Inference

Causal-Variational-Autoencoders

Causal Variational AutoEncoders

UnConfounding

A toolbox for simulating and estimating long-term causal effects in the presence of unobserved confounding.

fusilli

A Python package housing a collection of deep-learning multi-modal data fusion method pipelines! From data loading, to training, to evaluation - fusilli's got you covered 🌸

dbnR

Gaussian dynamic Bayesian networks structure learning and inference based on the bnlearn package

causica

g2g-transformer

Pytorch implementation of “Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement”

meditron

Meditron is a suite of open-source medical Large Language Models (LLMs).

causalai

Salesforce CausalAI Library: A Fast and Scalable framework for Causal Analysis of Time Series and Tabular Data