dobriban / stat-ml-eduLinks
Resources for education in statistics and machine learning: from advanced undergraduate to research level
☆93Updated last year
Alternatives and similar repositories for stat-ml-edu
Users that are interested in stat-ml-edu are comparing it to the libraries listed below
Sorting:
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆173Updated last year
- A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.☆251Updated 2 months ago
- Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.☆218Updated last year
- Notes, exercises and other materials related to causal inference, causal discovery and causal ML.☆142Updated this week
- Materials for the course Principles of AI: LLMs at UPenn (Stat 9911, Spring 2025). LLM architectures, training paradigms (pre- and post-t…☆38Updated last month
- Practical Guide to Applied Conformal Prediction, published by Packt☆185Updated 2 months ago
- [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"☆44Updated last year
- ☆188Updated 2 years ago
- A Python toolbox for conformal prediction research on deep learning models, using PyTorch.☆415Updated 2 weeks ago
- Notebooks for Applied Causal Inference Powered by ML and AI☆128Updated 4 months ago
- ☆107Updated last year
- Une liste de ressources sur tout ce qui touche à la prise de décision : vidéos, tutoriels, livres, documents, thèses, articles, datasets …☆1Updated 11 months ago
- This course is an overview of applied causal inference.☆49Updated 2 months ago
- A package for conformal prediction with conditional guarantees.☆61Updated 5 months ago
- Dermatology ddx dataset, Jax implementations of Monte Carlo conformal prediction, plausibility regions and statistical annotation aggrega…☆649Updated last year
- relplot: Utilities for measuring calibration and plotting reliability diagrams☆165Updated last month
- Lecture Notes on Statistical Inference☆76Updated 9 months ago
- A resource list for causality in statistics, data science and physics☆265Updated this week
- Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models☆159Updated 11 months ago
- The repository to showcase the best framework for tabular data - the Awesome CatBoost☆251Updated last month
- A statistical toolkit for scientific discovery using machine learning☆79Updated last year
- Materials of the Nordic Probabilistic AI School 2023.☆90Updated last year
- ☆49Updated 7 months ago
- ☆27Updated last month
- Multi-class probabilistic classification using inductive and cross Venn–Abers predictors☆48Updated 3 years ago
- Experimental library integrating LLM capabilities to support causal analyses☆228Updated last week
- Lightweight, useful implementation of conformal prediction on real data.☆923Updated last month
- Python implementation of binary and multi-class Venn-ABERS calibration☆166Updated 2 weeks ago
- Repository for the explanation method Calibrated Explanations (CE)☆69Updated 2 months ago
- ☆13Updated 5 months ago