Alternatives and similar repositories for MachineLearningMischief

Users that are interested in MachineLearningMischief are comparing it to the libraries listed below

• donlapark / coverforest
  A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.
  ☆43Updated 3 weeks ago
• valeman / Awesome_CatBoost
  The repository to showcase the best framework for tabular data - the Awesome CatBoost
  ☆235Updated last month
• Carl-McBride-Ellis / TOBoML
  The Orange Book of Machine Learning
  ☆39Updated 2 months ago
• ip200 / venn-abers
  Python implementation of binary and multi-class Venn-ABERS calibration
  ☆157Updated 8 months ago
• ysraell / forecasting
  Forecasting: Principles and Practice
  ☆59Updated 3 years ago
• joneswack / conformal-predictions-from-scratch
  Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.
  ☆215Updated last year
• tblume1992 / MFLES
  ☆115Updated last year
• jefferythewind / warpgbm
  WarpGBM: High-Speed Gradient Boosting
  ☆67Updated last week
• probabl-ai / youtube-appendix
  Resources for some of our education content
  ☆41Updated 3 months ago
• superlinear-ai / conformal-tights
  👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
  ☆110Updated 2 weeks ago
• Jason2Brownlee / DataScienceDiagnosticChecklist
  Data Science Diagnostic Checklist: Helpful checks for data scientists with urgent problems
  ☆20Updated 5 months ago
• MDCHAMP / FreeLunch
  Meta-heuristic optimisation suite for python
  ☆46Updated last year
• SebChw / Actually-Robust-Training
  Actually Robust Training - Tool Inspired by Andrej Karpathy "Recipe for training neural networks". It allows you to decompose your Deep…
  ☆44Updated last year
• EduardoGarrido90 / UPM_summer_school_GP_BO_course
  Here are the notebooks for the Gaussian Processes and Bayesian Optimization course. The notebooks can be executed in Google Colab.
  ☆27Updated 10 months ago
• dobriban / stat-ml-edu
  Resources for education in statistics and machine learning: from advanced undergraduate to research level
  ☆93Updated 11 months ago
• valeman / bayesianism_is_what_you_dont_need
  The best repo showing why bayesianism is a complete misnomer
  ☆25Updated last week
• 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
  ☆44Updated 2 months ago
• harrisp / GPyConform
  ☆49Updated 5 months ago
• deepcharles / tutorials-mva-2024-2025
  Tutorials for the Machine Learning for Time Series class - Master MVA
  ☆24Updated 5 months ago
• tblume1992 / ConformalImpact
  Causal Impact but with MFLES and conformal prediction intervals
  ☆33Updated 4 months ago
• ostojanovic / causalML
  ☆33Updated 8 months ago
• modeva-ai / Modeva
  Integrated tool for model development and validation
  ☆28Updated 3 weeks ago
• 5x12 / course-prodml
  ☆53Updated 8 months ago
• apple / ml-calibration
  relplot: Utilities for measuring calibration and plotting reliability diagrams
  ☆144Updated 11 months ago
• Carl-McBride-Ellis / Compendium-of-free-ML-reading-resources
  Compendium of free ML reading resources
  ☆329Updated 3 weeks ago
• sm00thix / cvmatrix
  Computation of training set (X^T * X) and (X^T * Y) in a cross-validation setting using the fast algorithms by Engstrøm (2024).
  ☆22Updated 3 months ago
• hyosubkim / bayes-toolbox
  bayes-toolbox
  ☆92Updated 5 months ago
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆65Updated 2 weeks ago
• MatthewK84 / LinkedIn-Learning-Journey
  Matthew Kolakowski Learning Journey with Articles on Time Series Analysis, Machine Learning, Python Programming, and Systems Engineering.
  ☆28Updated 3 months ago
• aai-institute / beyond-jupyter
  Software design principles for machine learning applications
  ☆357Updated last month