muandet-lab / ipml-courseLinks
A course on imprecise probabilistic machine learning
☆126Updated this week
Alternatives and similar repositories for ipml-course
Users that are interested in ipml-course are comparing it to the libraries listed below
Sorting:
- Materials of the Nordic Probabilistic AI School 2023.☆91Updated 2 years ago
- Materials of the Nordic Probabilistic AI School 2022.☆181Updated 3 years ago
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆177Updated last year
- Resources for education in statistics and machine learning: from advanced undergraduate to research level☆103Updated last year
- Deep Learning, an Energy Approach☆242Updated 8 months ago
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆84Updated last year
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆226Updated last year
- Public dataset repository for the Causal Chamber Project☆58Updated 3 months ago
- A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.☆274Updated 5 months ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆129Updated 3 years ago
- Bayesian Bandits☆68Updated 2 years ago
- Notes, exercises and other materials related to causal inference, causal discovery and causal ML.☆162Updated last month
- ☆194Updated 3 years ago
- An experimental language for causal reasoning☆250Updated 2 months ago
- Parameter-Free Optimizers for Pytorch☆130Updated last year
- CausalPFN: Amortized Causal Effect Estimation via In-Context Learning☆88Updated 2 months ago
- Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille☆96Updated last week
- A resource list for causality in statistics, data science and physics☆267Updated 2 weeks ago
- relplot: Utilities for measuring calibration and plotting reliability diagrams☆180Updated 3 months ago
- ☆30Updated last year
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆200Updated 2 years ago
- Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach☆137Updated last year
- Tutorials and sampling algorithm comparisons☆79Updated this week
- Recursive Bayesian Estimation (Sequential / Online Inference)☆61Updated last year
- ☆21Updated 3 years ago
- ☆50Updated last year
- A statistical toolkit for scientific discovery using machine learning☆78Updated last year
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆74Updated 3 years ago
- Code for the causal benchmark library☆12Updated 11 months ago
- Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces☆199Updated 3 years ago