sysylvia

interpret-community

Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world datasets and workflows.

responsible-ai-toolbox

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

excalidraw

Virtual whiteboard for sketching hand-drawn like diagrams

datascience-box

Data Science Course in a Box

Intro

Course materials for "Introduction to Data Science with R", a video course by RStudio and O'Reilly Media

datasciencecoursera

Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.

qmd-as-md-obsidian

A plugin for Obsidian which allows editing of `qmd` Quarto files.

lit-fhir

Opinionated library for easily constructuring FHIR (http://hl7.org/fhir) resources in Scala and Java.

R-intro

Introduction to R

hikmah-academic-quarto

A set of nice Quarto templates

EconML

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

zotero-better-notes

Everything about note management. All in Zotero.

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.

doubleml-for-py

DoubleML - Double Machine Learning in Python

doubleml-serverless

DoubleML-Serverless - Distributed Double Machine Learning with a Serverless Architecture

synthea

Synthetic Patient Population Simulator

Supervised-Learning

Unsupervised-Learning

awesome-ai-agents

A list of AI autonomous agents

dsbook-part-2

Repository for Advanced Data Science Book

DHS-Indicators-Stata

Stata code to produce Demographic and Health Survey Indicators

AutoGPT

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

quivr

Open-source RAG Framework for building GenAI Second Brains 🧠 Build productivity assistant (RAG) ⚡️🤖 Chat with your docs (PDF, CSV, ...) & apps using Langchain, GPT 3.5 / 4 turbo, Private, Anthropic, VertexAI, Ollama, LLMs, Groq that you can share with users ! Efficient retrieval augmented generation framework

quarto-template-for-university-courses

Quarto-based template for designing websites of university courses.

Abmarl

Agent Based Modeling and Reinforcement Learning

openai-cookbook

Examples and guides for using the OpenAI API

llama_index

LlamaIndex is a data framework for your LLM applications

chatgpt

Interface to ChatGPT from R

mixtape

Data and Program files for Causal Inference: The Mixtape

massCode

A free and open source code snippets manager for developers