EduardoGarrido90 / UPM_summer_school_GP_BO_courseLinks
Here are the notebooks for the Gaussian Processes and Bayesian Optimization course. The notebooks can be executed in Google Colab.
☆27Updated last year
Alternatives and similar repositories for UPM_summer_school_GP_BO_course
Users that are interested in UPM_summer_school_GP_BO_course are comparing it to the libraries listed below
Sorting:
- Practical Guide to Applied Conformal Prediction, published by Packt☆185Updated 2 months ago
- Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.☆220Updated last year
- The best repo showing why bayesianism is a complete misnomer☆29Updated 3 weeks ago
- The repository to showcase the best framework for tabular data - the Awesome CatBoost☆252Updated last month
- Notes, exercises and other materials related to causal inference, causal discovery and causal ML.☆143Updated last week
- ☆49Updated 7 months ago
- 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
- Forecasting: Principles and Practice☆59Updated 3 years ago
- Modern Time Series Forecasting with Python 2E, Published by Packt☆154Updated last month
- Interpretable ML with Python, 2E - published by Packt☆98Updated 2 months ago
- 👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster☆110Updated 3 months ago
- Python implementation of binary and multi-class Venn-ABERS calibration☆166Updated 3 weeks ago
- ☆33Updated 10 months ago
- An introduction to conformal prediction☆27Updated last year
- A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.☆44Updated 3 months ago
- A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)☆86Updated 2 years ago
- The Orange Book of Machine Learning☆46Updated 4 months ago
- Multi-class probabilistic classification using inductive and cross Venn–Abers predictors☆48Updated 3 years ago
- Applied Machine Learning Explainability Techniques, published by Packt☆247Updated last year
- Forecasting: principles and practice in python☆177Updated 2 years ago
- Statistical Inference Course☆43Updated 7 months ago
- A resource list for causality in statistics, data science and physics☆265Updated last week
- Repository for the explanation method Calibrated Explanations (CE)☆69Updated 2 months ago
- Awesome list and projects of Time Series☆29Updated last year
- Resources for education in statistics and machine learning: from advanced undergraduate to research level☆94Updated last year
- Conformal Anomaly Detection☆48Updated last week
- ☆39Updated 7 months ago
- ☆286Updated 2 years ago
- DRL university course lecture notes & exercises☆86Updated 2 years ago
- Code repository for the book feature selection in machine learning☆29Updated 3 months ago