Alternatives and similar repositories for awesome-GBMs:

Users that are interested in awesome-GBMs are comparing it to the libraries listed below

• szilard / GBM-multicore
  GBM multicore scaling: h2o, xgboost and lightgbm on multicore and multi-socket systems
  ☆20Updated 6 years ago
• szilard / GBM-adv-workshop-Bp19
  Advanced GBM Workshop - Budapest, Nov 2019
  ☆12Updated 5 years ago
• szilard / ML-scoring
  Compare the scoring speed of several open source machine learning libraries.
  ☆20Updated 7 years ago
• vkrakovna / sbfc
  Selective Bayesian Forest Classifier - R package for simultaneous feature selection and classification. See paper: http://arxiv.org/abs/1…
  ☆16Updated 3 years ago
• dmarcous / CRAN_deepboost
  Deepboost R-package for submission
  ☆19Updated 7 years ago
• smc77 / DeepRL
  ☆11Updated 7 years ago
• mpearmain / scikit-wrapRs
  ☆13Updated 7 years ago
• dselivanov / kaggle-outbrain
  Companion repository to blog posts https://dsnotes.com/post/2017-01-27-lessons-learned-from-outbrain-click-prediction-kaggle-competition/…
  ☆21Updated 7 years ago
• adamlauretig / bwe
  Implements the model described in "Identification, Interpretability, and Bayesian Word Embeddings"
  ☆18Updated 5 years ago
• bwilbertz / RLightGBM
  R Interface for LightGBM
  ☆47Updated 7 years ago
• ja-thomas / OMLbots
  ☆13Updated 6 years ago
• ledell / sldm4-h2o
  Statistical Learning & Data Mining IV - H2O Presenation & Tutorial
  ☆26Updated 7 years ago
• abhishekmalali / h2o-hyperopt
  Library for integrated use of H2O with Hyperopt
  ☆13Updated last year
• ramhiser / activelearning
  Active Learning in R
  ☆46Updated 7 years ago
• ecpolley / SuperLearnerExtra
  Additional functions for the SuperLearner R package. A collection of mostly wrapper functions that might be useful for the SuperLearner b…
  ☆20Updated last year
• sigopt / SigOptR
  SigOpt's public R client
  ☆14Updated last year
• andland / libFMexe
  libFM R package
  ☆26Updated 8 years ago
• MI2DataLab / pyBreakDown
  Python implementation of R package breakDown
  ☆42Updated last year
• pommedeterresautee / projector
  Project Dense Vectors Text Representation on 2D Plan
  ☆16Updated 6 years ago
• szilard / GBM-tune
  Tuning GBMs (hyperparameter tuning) and impact on out-of-sample predictions
  ☆21Updated 7 years ago
• kapelner / ICEbox
  An R package for better visualizing a statistical learning model
  ☆35Updated 2 years ago
• luke14free / bulldog
  State management framework for Data Science & Analytics
  ☆19Updated 5 years ago
• dselivanov / mlapi
  Machine learning in R that doesn’t suck
  ☆50Updated 7 years ago
• peterhurford / vowpal_platypus
  Fast, accurate, lightweight, multi-core ML in Python, leveraging Vowpal Wabbit
  ☆21Updated 6 years ago
• pymc-learn / pymc-learn-book
  Book: Practical Probabilistic Machine Learning in Python
  ☆10Updated 4 years ago
• yanyachen / rFTRLProximal
  FTRL-Proximal Online Learning Algorithm
  ☆15Updated 7 years ago
• paulhendricks / gym-R
  An R package providing access to the OpenAI Gym API
  ☆21Updated 7 years ago
• lrouviere / AGB
  These are the codes used in the paper "Accelerated Gradient Boosting" by G. Biau, B. Cadre, and L. Rouvière.
  ☆17Updated 7 years ago
• zatonovo / deep_learning_ex
  Deep learning examples
  ☆13Updated 8 years ago
• bvegetabile / entbal
  An Alternative Implementation of Entropy Balancing Weights For Estimating Causal Effects
  ☆10Updated 3 years ago