Stars
Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax
A curated list of causal inference libraries, resources, and applications.
An open-source implementation of the geo experiment analysis methodology developed at Google. Disclaimer: This is not an official Google product.
pruthvireddy / CausalMBRL
Forked from dido1998/CausalMBRLOfficial data and code for our paper Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning
Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
Regression Discontinuity Mixtape Track taught by Rocio Titiunik
Official data and code for our paper Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning
Jupyter extensions that help you write code faster: Context aware AI Chat, Autocomplete, and Spreadsheet
Create artistic visualisations with your exercise data (Python version)
A resource list for causality in statistics, data science and physics
Unstructured Code with interesting analysis
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML
Publication-ready NN-architecture schematics.
A framework for detecting, highlighting and correcting grammatical errors on natural language text. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.
🏅 Collection of Kaggle Solutions and Ideas 🏅
An index of algorithms for learning causality with data
The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
A (concise) curated list of awesome Causal Inference resources.
Teaching repo for Applied Data Science @ Columbia, a project-based course for data science skills (statistical thinking, machine learning, data engineering, team work, presentation, endurance of fr…
30 Days of React challenge is a step by step guide to learn React in 30 days. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
All Algorithms implemented in Python
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
📚 Freely available programming books
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)