Alternatives and similar repositories for TOBoML

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

• valeman / Awesome_CatBoost
  The repository to showcase the best framework for tabular data - the Awesome CatBoost
  ☆280Updated 5 months ago
• ysraell / forecasting
  Forecasting: Principles and Practice
  ☆61Updated 4 years ago
• rick12000 / confopt
  A Library for Conformal Hyperparameter Tuning
  ☆104Updated 2 months ago
• tblume1992 / MFLES
  ☆115Updated last year
• donlapark / coverforest
  A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.
  ☆44Updated 5 months ago
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆72Updated this week
• modeva-ai / Modeva
  Integrated tool for model development and validation
  ☆33Updated 2 months ago
• ip200 / venn-abers
  Python implementation of binary and multi-class Venn-ABERS calibration
  ☆191Updated this week
• supplyseer-ai / supplyseer
  Python library for Applied Computational Supply Chain & Logistics. Unlock Neural Nets, Bayesian EOQ, Optimization, Time Series, and more …
  ☆105Updated last week
• joneswack / conformal-predictions-from-scratch
  Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.
  ☆227Updated 2 years ago
• jefferythewind / warpgbm
  WarpGBM: High-Speed Gradient Boosting
  ☆93Updated 2 months ago
• superlinear-ai / conformal-tights
  👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
  ☆116Updated 4 months ago
• mattharrison / effective_xgboost_book
  ☆295Updated 2 years ago
• Nixtla / fpp3-python
  Forecasting: principles and practice in python
  ☆204Updated 2 years ago
• PacktPublishing / Practical-Guide-to-Applied-Conformal-Prediction
  Practical Guide to Applied Conformal Prediction, published by Packt
  ☆195Updated 2 months ago
• MLDreamer / Linkedin-posts
  ☆25Updated 3 weeks ago
• probabl-ai / youtube-appendix
  Resources for some of our education content
  ☆48Updated 5 months ago
• RamiKrispin / pydata-ny-ga-workshop
  Materials for the Deploy and Monitor ML Pipelines with Python, Docker and GitHub Actions workshop at the PyData NYC 2024 conference
  ☆81Updated 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
• valeman / Mastering-Modern-Time-Series-Forecasting-The-Complete-Guide
  The repo for Mastering Modern Time Series Forecasting : The Complete Guide to Statistical, Machine Learning & Deep Learning Models in Pyt…
  ☆63Updated 6 months ago
• rabia174 / ConformaSight
  Conformal Prediction-Based Global and Model Agnostic Explainability for Classification tasks.
  ☆26Updated 11 months ago
• harrisp / GPyConform
  ☆50Updated 4 months ago
• ran-xie / boosted-conformal
  ☆41Updated last year
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆252Updated last week
• 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
• jrodenberg0 / vn1_fcst
  This repo houses my VN1 Forecasting Notebook for Phase One.
  ☆19Updated last year
• tblume1992 / ConformalImpact
  Causal Impact but with MFLES and conformal prediction intervals
  ☆33Updated last year
• noklam / dtype_diet
  Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM
  ☆61Updated 2 years ago
• valeman / bayesianism_is_what_you_dont_need
  The best repo showing why bayesianism is a complete misnomer
  ☆31Updated 4 months ago
• KishManani / PyDataLondon2022
  Slides for "Feature engineering for time series forecasting" talk
  ☆65Updated 3 years ago