Lecture notes for the Causality in Machine Learning course
☆15May 29, 2019Updated 7 years ago
Alternatives and similar repositories for causalML-lecturenotes
Users that are interested in causalML-lecturenotes are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Jupyter Notebook adaptation of the code from Huber (2023) - Causal Analysis☆11Jul 4, 2024Updated 2 years ago
- Documentation and User Guide for DoubleML - Double Machine Learning in Python & R☆24May 22, 2026Updated 2 months ago
- A machine learning magic packet for economists.☆15Aug 28, 2025Updated 10 months ago
- Kaggle's Causality Challenge Solution for team FirfiD☆26Sep 5, 2013Updated 12 years ago
- ABtest实操☆12Sep 16, 2020Updated 5 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Project on Causal Machine learning CS 7290☆16Dec 7, 2019Updated 6 years ago
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalAI☆805Dec 1, 2025Updated 7 months ago
- Notes, exercises and other materials related to causal inference, causal discovery and causal ML.☆162May 15, 2026Updated 2 months ago
- Software for the experiments reported in the RecSys 2019 paper "Multi-Armed Recommender System Bandit Ensembles"☆14Aug 16, 2019Updated 6 years ago
- This Jupyterbook has been created based on the tutorials of the course 14.388 Inference on Causal and Structural Parameters Using ML and …☆14May 5, 2023Updated 3 years ago
- Using the Taken's embedding theorem to estimate the causality between variables. Based on Sugihara et al (2012) - Detecting Causality in …☆13Jan 30, 2018Updated 8 years ago
- A simple to use AB testing framework that lets anyone perform bayesian data analysis☆21Oct 15, 2024Updated last year
- The simMixedDAG package enables simulation of "real life" datasets from DAGs☆13Oct 12, 2019Updated 6 years ago
- Official PyTorch repository for Quaternion Generative Adversarial Networks.☆22Mar 30, 2022Updated 4 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Data and code used in Yarkoni (2019) -- "The Generalizability Crisis"☆13Nov 22, 2019Updated 6 years ago
- Causal Simulations for Uplift Modeling☆12Jan 22, 2020Updated 6 years ago
- Dynamic factor models (DFM) in R. Easy estimation and new data contributions to changes in prediction.☆28May 23, 2023Updated 3 years ago
- Code repository for the online course Machine Learning Interpretability☆30Oct 12, 2024Updated last year
- Jupyter notebooks for MIT 14.38 Causal Machine Learning course☆15Jul 13, 2026Updated last week
- ChatTea: A Rust-based chat app with an async server-client setup using Tokio, using a Terminal User Interface built with ratatui. It empl…☆13Sep 16, 2024Updated last year
- Causal Deconvolution of Networks by Algorithmic Generative Models☆30May 9, 2019Updated 7 years ago
- A dynamic factor model to nowcast quarterly GDP using many high-frequency series. Implemented in Python☆34Oct 14, 2021Updated 4 years ago
- The repository for the paper Reasoning On Knowledge Graphs With Debate Dynamics☆21Mar 24, 2023Updated 3 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Identify the causality for air pollution in China (North China, Yangtze River Delta, and Pearl River Delta)☆15Mar 5, 2020Updated 6 years ago
- Slides and code examples for Autumn 2020 Course at ETH Zurich, "Building a Robot Judge: Data Science for Decision-Making."☆17Oct 1, 2023Updated 2 years ago
- My collection of causal inference algorithms built on top of accessible, simple, out-of-the-box ML methods, aimed at being explainable an…☆32Dec 26, 2022Updated 3 years ago
- Contains all materials for the paper "A counterfactual simulation model of causal judgment".☆25Jul 15, 2021Updated 5 years ago
- GitHub repository for deep forecasting courses owned and maintained by prof. Jahangiry☆51Apr 15, 2026Updated 3 months ago
- A curated list of awesome work on causal inference, particularly in machine learning.☆115May 1, 2021Updated 5 years ago
- Python code for NeurIPS 2018 paper "Causal Inference and Mechanism Clustering of A Mixture of Additive Noise Models"☆24Aug 9, 2019Updated 6 years ago
- Sampling techniques for Candle.☆21Apr 3, 2024Updated 2 years ago
- A collection of interesting software, processes, and methodologies built and used across Public Media.☆17Dec 20, 2019Updated 6 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- The UNofficial Rust SDK for Model Context Protocol servers and clients☆18Nov 28, 2024Updated last year
- ☆100Sep 3, 2020Updated 5 years ago
- Code used in the causality course (401-4632-15) at ETH Zurich.☆23May 21, 2019Updated 7 years ago
- BSIC resource hub☆20Oct 14, 2017Updated 8 years ago
- This repo contains the code for demonstrating how to using LlamaEdge RAG to build a RAG app☆13May 15, 2024Updated 2 years ago
- Causal Inference with Invariant Prediction☆25Dec 7, 2020Updated 5 years ago
- A Python package for causal inference using Synthetic Controls☆195Jan 25, 2024Updated 2 years ago