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

• PacktPublishing / Practical-Guide-to-Applied-Conformal-Prediction
  Practical Guide to Applied Conformal Prediction, published by Packt
  ☆193Updated last month
• joneswack / conformal-predictions-from-scratch
  Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.
  ☆226Updated last year
• valeman / bayesianism_is_what_you_dont_need
  The best repo showing why bayesianism is a complete misnomer
  ☆31Updated 2 months ago
• harrisp / GPyConform
  ☆50Updated 2 months ago
• valeman / Awesome_CatBoost
  The repository to showcase the best framework for tabular data - the Awesome CatBoost
  ☆279Updated 3 months ago
• valeman / Multi-class-probabilistic-classification
  Multi-class probabilistic classification using inductive and cross Venn–Abers predictors
  ☆50Updated 3 years ago
• AlxndrMlk / causality
  Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
  ☆158Updated last month
• Carl-McBride-Ellis / TOBoML
  The Orange Book of Machine Learning
  ☆51Updated 3 months ago
• ip200 / venn-abers
  Python implementation of binary and multi-class Venn-ABERS calibration
  ☆191Updated 2 months ago
• valeman / smote_is_what_you_dont_need
  The best repository showing why SMOTE and resampling methods might not be the answer for imbalanced data problems
  ☆53Updated 3 months ago
• ysraell / forecasting
  Forecasting: Principles and Practice
  ☆61Updated 4 years ago
• donlapark / coverforest
  A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.
  ☆44Updated 3 months ago
• PacktPublishing / Interpretable-Machine-Learning-with-Python-2E
  Interpretable ML with Python, 2E - published by Packt
  ☆104Updated last month
• rick12000 / confopt
  A Library for Conformal Hyperparameter Tuning
  ☆104Updated 2 weeks ago
• OliverHennhoefer / nonconform
  Conformal Anomaly Detection
  ☆51Updated last week
• superlinear-ai / conformal-tights
  👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
  ☆115Updated 2 months ago
• pyladiesams / conformal-prediction-jan2024
  An introduction to conformal prediction
  ☆27Updated last year
• gkunapuli / ensemble-methods-notebooks
  A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)
  ☆92Updated 2 years ago
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆70Updated this week
• PacktPublishing / Modern-Time-Series-Forecasting-with-Python-2E
  Modern Time Series Forecasting with Python 2E, Published by Packt
  ☆183Updated last month
• solegalli / feature-selection-in-machine-learning-book
  Code repository for the book feature selection in machine learning
  ☆37Updated 8 months ago
• ml-for-high-risk-apps-book / Machine-Learning-for-High-Risk-Applications-Book
  Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications
  ☆103Updated 2 years ago
• ran-xie / boosted-conformal
  ☆41Updated 11 months ago
• Nixtla / fpp3-python
  Forecasting: principles and practice in python
  ☆199Updated 2 years ago
• PacktPublishing / Applied-Machine-Learning-Explainability-Techniques
  Applied Machine Learning Explainability Techniques, published by Packt
  ☆246Updated last month
• ostojanovic / causalML
  ☆33Updated last year
• Hadar933 / Deep-Reinforcement-Learning
  DRL university course lecture notes & exercises
  ☆86Updated 2 years ago
• msuzen / looper
  A resource list for causality in statistics, data science and physics
  ☆266Updated last month
• mattharrison / effective_xgboost_book
  ☆292Updated 2 years ago
• dobriban / stat-ml-edu
  Resources for education in statistics and machine learning: from advanced undergraduate to research level
  ☆103Updated last year