Alternatives and similar repositories for linearboost-classifier

Users that are interested in linearboost-classifier are comparing it to the libraries listed below

• perpetual-ml / perpetual
  A self-generalizing gradient boosting machine that doesn't need hyperparameter optimization
  ☆498Updated last week
• tblume1992 / MFLES
  ☆115Updated last year
• henrikbostrom / crepes
  Python package for conformal prediction
  ☆509Updated 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
  ☆110Updated last month
• jefferythewind / warpgbm
  WarpGBM: High-Speed Gradient Boosting
  ☆71Updated last week
• valeman / Awesome_CatBoost
  The repository to showcase the best framework for tabular data - the Awesome CatBoost
  ☆235Updated 2 months ago
• cohere-ai / DiskVectorIndex
  ☆210Updated 11 months ago
• donlapark / coverforest
  A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.
  ☆44Updated last month
• tunguz / TabularBenchmarks
  ☆199Updated 3 weeks ago
• 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
• autogluon / fev
  Forecast evaluation library
  ☆82Updated this week
• ip200 / venn-abers
  Python implementation of binary and multi-class Venn-ABERS calibration
  ☆163Updated 8 months ago
• joneswack / conformal-predictions-from-scratch
  Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.
  ☆215Updated last year
• noklam / dtype_diet
  Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM
  ☆50Updated last year
• codelion / adaptive-classifier
  A flexible, adaptive classification system for dynamic text classification
  ☆195Updated 3 weeks ago
• MartinWeigl / pycaleva
  A framework for calibration measurement of binary probabilistic models
  ☆28Updated last year
• iShohei220 / adopt
  Official Implementation of "ADOPT: Modified Adam Can Converge with Any β2 with the Optimal Rate"
  ☆423Updated 5 months ago
• autogluon / autogluon-assistant
  Multi-Agent System for End-to-end Multimodal ML Automation
  ☆128Updated this week
• AI-Hypercomputer / RecML
  ☆179Updated this week
• MinishLab / vicinity
  Lightweight Nearest Neighbors with Flexible Backends
  ☆278Updated this week
• joaopcnogueira / ts2ml
  Tools to Transform a Time Series into Features and Target a.k.a Supervised Learning
  ☆98Updated 2 years ago
• warner-benjamin / commented-transformers
  Highly commented implementations of Transformers in PyTorch
  ☆136Updated last year
• google-deepmind / uncertain_ground_truth
  Dermatology ddx dataset, Jax implementations of Monte Carlo conformal prediction, plausibility regions and statistical annotation aggrega…
  ☆648Updated last year
• mmschlk / shapiq
  Shapley Interactions and Shapley Values for Machine Learning
  ☆554Updated this week
• csinva / imodelsX
  Interpret text data using LLMs (scikit-learn compatible).
  ☆165Updated 2 months ago
• shobrook / weightgain
  Train an adapter for any embedding model in under a minute
  ☆101Updated last month
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆230Updated last month
• mixedbread-ai / batched
  The Batched API provides a flexible and efficient way to process multiple requests in a batch, with a primary focus on dynamic batching o…
  ☆136Updated last week
• lightonai / pylate
  Late Interaction Models Training & Retrieval
  ☆395Updated this week
• probabl-ai / youtube-appendix
  Resources for some of our education content
  ☆41Updated 4 months ago