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☆189Updated 3 months ago
- Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.☆221Updated last year
- ☆49Updated 8 months ago
- Notes, exercises and other materials related to causal inference, causal discovery and causal ML.☆143Updated last month
- The repository to showcase the best framework for tabular data - the Awesome CatBoost☆261Updated 2 weeks ago
- Hands-On Optimization with Python☆221Updated 4 months ago
- The best repo showing why bayesianism is a complete misnomer☆30Updated last month
- Python implementation of binary and multi-class Venn-ABERS calibration☆169Updated last month
- Modern Time Series Forecasting with Python 2E, Published by Packt☆158Updated last month
- The Orange Book of Machine Learning☆47Updated 5 months ago
- Multi-class probabilistic classification using inductive and cross Venn–Abers predictors☆48Updated 3 years ago
- Forecasting: principles and practice in python☆181Updated 2 years ago
- Repository for the explanation method Calibrated Explanations (CE)☆70Updated last week
- The best repository showing why SMOTE and resampling methods might not be the answer for imbalanced data problems☆47Updated 2 weeks ago
- 👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster☆112Updated 3 months ago
- Resources for education in statistics and machine learning: from advanced undergraduate to research level☆94Updated last year
- An introduction to conformal prediction☆28Updated last year
- ☆33Updated 11 months ago
- A resource list for causality in statistics, data science and physics☆265Updated last month
- ☆42Updated 2 years ago
- Conformal Anomaly Detection☆48Updated last week
- A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)☆89Updated 2 years ago
- Material for the hands-on tutorial on Graph Deep Learning held at the Alan Turing Institute☆58Updated last year
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications☆102Updated 2 years ago
- A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.☆44Updated 2 weeks ago
- Code for the AISTATS 2024 Paper "From Data Imputation to Data Cleaning - Automated Cleaning of Tabular Data Improves Downstream Predictiv…☆23Updated last year
- Forecasting: Principles and Practice☆60Updated 4 years ago
- Interpretable ML with Python, 2E - published by Packt☆98Updated 3 months ago
- This projects contains different conformal methods and approaches. Includes code generated for a experimental evaluation of a multidimens…☆19Updated last year
- ☆286Updated 2 years ago