Black-Swan-ICL / PyRKHSstatsLinks
A Python package implementing a variety of statistical methods that rely on kernels (e.g. HSIC for independence testing).
☆15Updated 3 years ago
Alternatives and similar repositories for PyRKHSstats
Users that are interested in PyRKHSstats are comparing it to the libraries listed below
Sorting:
- This repository contains a list of awesome literature in statistics and machine learning.☆13Updated last year
- Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"☆149Updated 11 months ago
- ☆11Updated 10 months ago
- Lightweight, useful implementation of conformal prediction on real data.☆912Updated last month
- Code accompanying the paper "Empirical analysis of model selection for heterogeneous causal effect estimation"☆13Updated 5 months ago
- On the Role of Sparsity and DAG Constraints for Learning Linear DAGs☆33Updated 4 years ago
- A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch☆606Updated 3 months ago
- Causal Discovery in Python. It also includes (conditional) independence tests and score functions.☆1,404Updated 2 weeks ago
- A Python 3 package for learning Bayesian Networks (DAGs) from data. Official implementation of the paper "DAGMA: Learning DAGs via M-matr…☆120Updated last year
- ☆51Updated 11 months ago
- Trustworthy AI related projects☆1,053Updated last month
- Code Repository for SCM-VAE (IEEE Big Data)☆10Updated 2 years ago
- This repository is the demo implementation of [Deep Dimension Reduction for Supervised Representation Learning].☆10Updated 10 months ago
- Causal discovery algorithms and tools for implementing new ones☆221Updated last week
- PyTorch implementation of bayesian neural network [torchbnn]☆536Updated 11 months ago
- Python implementation of the GES algorithm for causal discovery, from the 2002 paper "Optimal Structure Identification With Greedy Search…☆59Updated 4 months ago
- A Data-Centric library providing a unified interface for state-of-the-art methods for hardness characterisation of data points.☆25Updated 4 months ago
- MPhil Machine Learning and Machine Intelligence @ University of Cambridge☆48Updated 6 years ago
- Causal Discovery via Bayesian Optimization (DrBO) - ICLR 2025☆21Updated 3 months ago
- Datasets for fairness-aware machine learning☆11Updated 4 months ago
- A data index for learning causality.☆471Updated last year
- Recommender systems in Python☆26Updated 6 months ago
- Example causal datasets with consistent formatting and ground truth☆87Updated 3 months ago
- Must-read papers and resources related to causal inference and machine (deep) learning☆729Updated 2 years ago
- This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning mo…☆705Updated 3 weeks ago
- PyTorch implementation of normalizing flow models☆855Updated 10 months ago
- Awesome resources on normalizing flows.☆1,541Updated last week
- Python package for causal discovery based on LiNGAM.☆435Updated 2 weeks ago
- pyCausalFS：A Python Library of Causality-based Feature Selection for Causal Structure Learning and Classification☆70Updated 4 years ago
- CPDAG Estimation using PC-Algorithm☆96Updated 3 years ago