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autogen

A programming framework for agentic AI 🤖

WizardLM

LLMs build upon Evol Insturct: WizardLM, WizardCoder, WizardMath

Depth-Anything

[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

courses

This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)

llm-app

Dynamic RAG for enterprise. Ready to run with Docker,⚡in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.

PhySO

Physical Symbolic Optimization

awesome-causal-inference

A curated list of causal inference libraries, resources, and applications.

Causal-Inference-and-Discovery-in-Python

Causal Inference and Discovery in Python by Packt Publishing

smt

Surrogate Modeling Toolbox

causal-ml

Must-read papers and resources related to causal inference and machine (deep) learning

Causality4NLP_Papers

A reading list for papers on causality for natural language processing (NLP)

fortitudo.tech

Entropy Pooling views and stress-testing combined with Conditional Value-at-Risk (CVaR) portfolio optimization in Python.

ehrapy

Electronic Health Record Analysis with Python.

chirho

An experimental language for causal reasoning

causalinference_crashcourse

Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks

MSE_Spring2024

The materials for the Spring Mathematics in Materials course at the UTK MSE

y0

❓y0 (pronounced "why not?") is for causal inference in Python

azcausal

Causal Inference in Python

UTK-Spring-2023---Automated-Experiment

Spring 2023 seminar on automated experiment

pywhy-stats

Python package for (conditional) independence testing and statistical functions related to causality.

causal-chamber

Dataset repository for the 2024 paper "The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology" by Juan L. Gamella, Jonas Peters and Peter Bühlmann.

pypsps

Predictive State Propensity Subclassification (PSPS): A causal deep learning algoritm in TensorFlow keras

cct-cmc

Implementation of Conformal Convolution T-learner (CCT) and Conformal Monte Carlo (CMC) learner

causalHAL

Adaptive debiased machine learning of treatment effects with the highly adaptive lasso

stadion

Causal Modeling with Stationary Diffusions, AISTATS 2024

huber-causal-analysis

Jupyter Notebook adaptation of the code from Huber (2023) - Causal Analysis

detect-hidden-confounding

This repository is the official implementation of Detecting hidden confounding in observational data using multiple environments.

cGNF

A Python Module for Implementing causal-Graphical Normalizing Flows.

PyNonpar

Package providing functions to calculate pseudo-ranks and (pseudo)-rank based nonparametric test statistics.

proximal_w_text