Alternatives and similar repositories for MachineLearningMischief

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

• aai-institute / beyond-jupyter
  Software design principles for machine learning applications
  ☆376Updated 5 months ago
• Carl-McBride-Ellis / TOBoML
  The Orange Book of Machine Learning
  ☆56Updated 5 months ago
• joneswack / conformal-predictions-from-scratch
  Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.
  ☆228Updated 2 years ago
• ip200 / venn-abers
  Python implementation of binary and multi-class Venn-ABERS calibration
  ☆191Updated last week
• Hadar933 / Deep-Reinforcement-Learning
  DRL university course lecture notes & exercises
  ☆86Updated 2 years ago
• valeman / Awesome_CatBoost
  The repository to showcase the best framework for tabular data - the Awesome CatBoost
  ☆281Updated 5 months ago
• donlapark / coverforest
  A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.
  ☆44Updated 5 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
  ☆105Updated 2 years ago
• ysraell / forecasting
  Forecasting: Principles and Practice
  ☆61Updated 4 years ago
• 5x12 / course-prodml
  ☆59Updated last year
• mattharrison / effective_xgboost_book
  ☆295Updated 2 years ago
• rick12000 / confopt
  A Library for Conformal Hyperparameter Tuning
  ☆104Updated 2 months ago
• Graphlet-AI / graphml-class
  Full Stack Graph Machine Learning: Theory, Practice, Tools and Techniques
  ☆81Updated 2 months ago
• Jason2Brownlee / DataScienceDiagnosticChecklist
  Data Science Diagnostic Checklist: Helpful checks for data scientists with urgent problems
  ☆22Updated last year
• dcai-course / dcai-course
  Introduction to Data-Centric AI, MIT IAP 2024 🤖
  ☆106Updated 7 months ago
• rasbt / pycon2024
  Tutorial Materials for "The Fundamentals of Modern Deep Learning with PyTorch" workshop at PyCon 2024
  ☆247Updated last year
• probabl-ai / skore
  Track your Data Science. Skore's open-source Python library accelerates ML model development with automated evaluation reports, smart met…
  ☆576Updated this 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
  ☆53Updated 5 months ago
• Carl-McBride-Ellis / Compendium-of-free-ML-reading-resources
  Compendium of free ML reading resources
  ☆486Updated 2 months ago
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆72Updated last week
• valeman / bayesianism_is_what_you_dont_need
  The best repo showing why bayesianism is a complete misnomer
  ☆31Updated 4 months ago
• modeva-ai / Modeva
  Integrated tool for model development and validation
  ☆33Updated 3 months ago
• probabl-ai / calibration-cost-sensitive-learning
  Tutorial on probabilistic classification and cost-sensitive learning.
  ☆13Updated 5 months ago
• tblume1992 / MFLES
  ☆115Updated 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 last year
• AutoViML / pandas_dq
  Find data quality issues and clean your data in a single line of code with a Scikit-Learn compatible Transformer.
  ☆135Updated 2 years ago
• PacktPublishing / Practical-Guide-to-Applied-Conformal-Prediction
  Practical Guide to Applied Conformal Prediction, published by Packt
  ☆195Updated 2 months ago
• ivanlen / pipreqsnb
  pipreqs with jupyter notebook support
  ☆72Updated 2 years ago
• BexTuychiev / tricking-data-science
  A book of subtle code tricks and gem resources for all things data, machine learning and deep learning.
  ☆170Updated last year
• WesleyPasfield / paper-newsletter
  ☆30Updated last week