YLearn, a pun of "learn why", is a python package for causal inference
☆430Jun 28, 2025Updated 9 months ago
Alternatives and similar repositories for YLearn
Users that are interested in YLearn are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Causal Discovery in Python. Learning causality from data.☆1,574Mar 27, 2026Updated 2 weeks ago
- An Interactive Causal Analysis Tool☆19Jun 16, 2023Updated 2 years ago
- An index of algorithms for learning causality with data☆3,250Jan 22, 2025Updated last year
- An AutoDL tool for Neural Architecture Search and Hyperparameter Optimization on Tensorflow and Keras☆30Jun 1, 2021Updated 4 years ago
- Trustworthy AI related projects☆1,115Nov 13, 2025Updated 4 months ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- An open-source package of causal feature selection and causal (Bayesian network) structure learning (C/C++ version)☆63Nov 17, 2020Updated 5 years ago
- A Python package for modular causal inference analysis and model evaluations☆814Apr 6, 2025Updated last year
- Causal discovery algorithms and tools for implementing new ones☆249Jul 10, 2025Updated 9 months ago
- Scalable open-source software to run, develop, and benchmark causal discovery algorithms☆81Feb 17, 2026Updated last month
- TIme series DiscoverY BENCHmark (tidybench)☆38Feb 21, 2024Updated 2 years ago
- Must-read papers and resources related to causal inference and machine (deep) learning☆749Nov 23, 2022Updated 3 years ago
- Python package for causal discovery based on LiNGAM.☆479Mar 2, 2026Updated last month
- An implementation of MMHC in python☆13Aug 26, 2021Updated 4 years ago
- DAGs with NO TEARS: Continuous Optimization for Structure Learning☆674May 17, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- ☆12Mar 21, 2024Updated 2 years ago
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,452Jun 26, 2024Updated last year
- Code for the paper "Optimal Off-Policy Evaluation from Multiple Logging Policies"☆15Jul 17, 2021Updated 4 years ago
- ☆13Feb 20, 2024Updated 2 years ago
- A data index for learning causality.☆486Oct 25, 2023Updated 2 years ago
- EconML/CausalML KDD 2021 Tutorial☆168Aug 23, 2023Updated 2 years ago
- CausIL is an approach to estimate the causal graph for a cloud microservice system, where the nodes are the service-specific metrics whil…☆13Jul 3, 2023Updated 2 years ago
- DeepTables: Deep-learning Toolkit for Tabular data☆705Nov 21, 2024Updated last year
- Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at☆1,629Jan 14, 2026Updated 2 months ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Repository for the Tetrad Project, www.phil.cmu.edu/tetrad.☆439Updated this week
- AutoML for causal inference.☆238Dec 18, 2024Updated last year
- ☆26Feb 16, 2022Updated 4 years ago
- Causal Inference-based Root Cause Analysis☆94Feb 13, 2023Updated 3 years ago
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalAI☆792Dec 1, 2025Updated 4 months ago
- A Causal AI package for causal graphs.☆60Mar 4, 2026Updated last month
- PCIC 2021 Track1: Causal Discovery☆25Jun 23, 2021Updated 4 years ago
- 💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…☆95Mar 24, 2023Updated 3 years ago
- uplift modeling in scikit-learn style in python☆802Oct 21, 2023Updated 2 years ago
- Wordpress hosting with auto-scaling on Cloudways • AdFully Managed hosting built for WordPress-powered businesses that need reliable, auto-scalable hosting. Cloudways SafeUpdates now available.
- Implement PC algorithm in Python | PC 算法的 Python 实现☆119Oct 29, 2023Updated 2 years ago
- ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.☆131Mar 24, 2023Updated 3 years ago
- Causal discovery for time series☆106Feb 23, 2022Updated 4 years ago
- Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series☆534Oct 1, 2021Updated 4 years ago
- DoubleML - Double Machine Learning in Python☆722Mar 25, 2026Updated 2 weeks ago
- ☆20Dec 8, 2021Updated 4 years ago
- Code for the paper: Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data☆223Mar 25, 2022Updated 4 years ago