Materials Collection for Causal Inference
☆48Apr 14, 2023Updated 3 years ago
Alternatives and similar repositories for Causal-Inference
Users that are interested in Causal-Inference are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A Python package implementing a variety of statistical methods that rely on kernels (e.g. HSIC for independence testing).☆17Jan 12, 2022Updated 4 years ago
- Resources to learn more about Machine Learning and Artificial Intelligence☆34Jun 3, 2021Updated 5 years ago
- Masters-level applied econometrics course—focusing on prediction—at the University of Oregon (EC424/524 during Winter quarter, 2022) Taug…☆19Mar 15, 2022Updated 4 years ago
- Python library of Dynamic Treatment Regimes☆10Oct 26, 2020Updated 5 years ago
- heterogeneous treatment effect estimation with causal forests☆12May 1, 2023Updated 3 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Minimax Estimation of Conditional Moment Models☆33Jun 12, 2023Updated 3 years ago
- Code Repository for ICML 2020 accepted paper, named "A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Le…☆12Jan 4, 2022Updated 4 years ago
- The code to conduct Bayesian geographically weighted regression☆12Feb 20, 2022Updated 4 years ago
- Notes, exercises and other materials related to causal inference, causal discovery and causal ML.☆166Aug 14, 2026Updated 2 months ago
- Code for a variety of nonlinear conditional independence tests and 'nonlinear Invariant Causal Prediction' to estimate the causal parents…☆17Nov 12, 2019Updated 6 years ago
- EconML/CausalML KDD 2021 Tutorial☆171Aug 23, 2023Updated 3 years ago
- Eastern European Machine Learning Summer School (EEML) Workshop Series 2022. Tutorial on Causality for the Serbian Machine Learning Works…☆22May 7, 2022Updated 4 years ago
- Development repo for CRC Press book☆16May 14, 2026Updated 5 months ago
- A set of kernel-based (Un)conditional independence tests including SDCIT (Lee and Honavar, UAI 2017)☆16Sep 19, 2026Updated 3 weeks ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Python scripts for computing a dynamic user equilibrium solution for a multi-OD road network. The model uses a cell transmission model fo…☆15Jun 9, 2020Updated 6 years ago
- Companion code to CoRL 2019 paper: E Bıyık, M Palan, NC Landolfi, DP Losey, D Sadigh. "Asking Easy Questions: A User-Friendly Approach to…☆18Oct 13, 2020Updated 6 years ago
- ☆10Sep 7, 2022Updated 4 years ago
- A didactic Python library with well-commented and annotated implementations of machine learning algorithms.☆62Nov 6, 2020Updated 5 years ago
- Deeplearning project at The Technological University of Denmark (DTU) about Neural ODEs for finding dynamics in ordinary differential equ…☆18Jan 2, 2022Updated 4 years ago
- ☆11Mar 8, 2024Updated 2 years ago
- CXR-ACGAN: Auxiliary Classifier GAN (AC-GAN) for Chest X-Ray (CXR) Images Generation (Pneumonia, COVID-19 and healthy patients) for the p…☆12Jun 14, 2023Updated 3 years ago
- 教材 Causal Inference: What if 的编译和解读!☆41May 16, 2020Updated 6 years ago
- Contains implementation of the DoubIL and ResiduIL algorithms from the ICML '22 paper Causal Imitation Learning under Temporally Correlat…☆11Dec 9, 2022Updated 3 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Reinforcement learning for combinatorial optimization over directed graphs☆44Jun 21, 2023Updated 3 years ago
- This course is an overview of applied causal inference.☆62May 26, 2025Updated last year
- Must-read papers and resources related to causal inference and machine (deep) learning☆752Nov 23, 2022Updated 3 years ago
- Used LSTM and Graph Attention Mechanism to detect the causal relationship in a sentence☆12May 14, 2023Updated 3 years ago
- Estimation of latent class choice models using the Expectation Maximization algorithm in addition to constraining the choice set across c…☆19Apr 27, 2017Updated 9 years ago
- 西瓜视频下载☆15Apr 30, 2024Updated 2 years ago
- ☆14Jun 30, 2025Updated last year
- notebooks on methods for causal inference☆39Aug 5, 2024Updated 2 years ago
- Replication Codes for Paper "COVID 19 , City Lockdown s , and Air Pollution: Evidence from China"☆12Aug 12, 2020Updated 6 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Software used for papers published by CAUSALab members☆12Oct 23, 2025Updated 11 months ago
- Code for ICML 2021 paper "Regularizing towards Causal Invariance: Linear Models with Proxies" (ICML 2021)☆11Mar 14, 2022Updated 4 years ago
- Breast cancer prediction using causal Inference☆11Sep 17, 2021Updated 5 years ago
- Causal Inference in Statistics: A Primer(翻译版)☆38Oct 9, 2026Updated last week
- Python package for analyzing and representing droplets and emulsions☆13Updated this week
- My implement of PC-Algorithm which is used to estimate causal graph from observation data.☆25May 27, 2020Updated 6 years ago
- Masters-level applied econometrics course—focusing on prediction—at the University of Oregon (EC424/524 during Winter quarter, 2023) Taug…☆10Mar 20, 2023Updated 3 years ago