khipu-ai / practicals-2023Links
☆30Updated 2 years ago
Alternatives and similar repositories for practicals-2023
Users that are interested in practicals-2023 are comparing it to the libraries listed below
Sorting:
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆204Updated last year
- ☆17Updated 2 years ago
- Workshop for GNN at RIIAA☆21Updated 3 years ago
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆160Updated last year
- DRL university course lecture notes & exercises☆86Updated 2 years ago
- Materials of the Nordic Probabilistic AI School 2019.☆130Updated 5 years ago
- Materials of the Nordic Probabilistic AI School 2022.☆180Updated 2 years ago
- Practical Guide to Applied Conformal Prediction, published by Packt☆180Updated 3 weeks ago
- ☆21Updated 2 years ago
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆170Updated last year
- Resources for education in statistics and machine learning: from advanced undergraduate to research level☆93Updated last year
- Repository for the book Machine Learning Learning Beyond Point Predictions: Uncertainty Quantification, by Rafael Izbicki.☆25Updated 3 months ago
- Tutorials and sampling algorithm comparisons☆75Updated this week
- Practical notebooks for Khipu 2019, held in Universidad de la República in Montevideo.☆244Updated 5 years ago
- Apps (mostly streamlit) for the "Probabilistic Machine Learning" Lecture course at the University of Tübingen☆24Updated last year
- Lecture Notes on Statistical Inference☆76Updated 7 months ago
- The M2L school 2022 tutorials☆36Updated 2 years ago
- Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach☆105Updated last year
- Despite the popular yet wrong claim that logistic regression "is not a regression", it's one of the key regression and hypothesis testing…☆29Updated 2 months ago
- Applied Time Series Analysis and Forecasting☆167Updated 2 years ago
- Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille☆88Updated 3 months ago
- A resource list for causality in statistics, data science and physics☆264Updated this week
- Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.☆215Updated last year
- Notebooks for the Practicals at the Deep Learning Indaba 2022.☆175Updated last year
- Repo for the Tutorials of Day1-Day2 of the Nordic Probabilistic AI School 2023☆17Updated last year
- Bayesian statistics graduate course☆353Updated 7 months ago
- Materials of the Nordic Probabilistic AI School 2023.☆90Updated last year
- Tutorial materials of the Probabilistic Numerics Spring School.☆34Updated 2 years ago
- Data Science for Dynamical System Course☆118Updated 8 months ago
- A walkthrough of transformer architecture code☆340Updated last year