Alternatives and similar repositories for online_boosting

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

• LIBOL / LIBOL
  Library for Online Learning algorithms
  ☆67Updated 10 years ago
• kuleshov / online-learning
  A few basic online learning algorithms
  ☆24Updated 3 years ago
• akshaykr / oracle_cb
  Experimentation for oracle based contextual bandit algorithms.
  ☆31Updated 2 years ago
• automl / pysmac
  simple python interface to SMAC.
  ☆21Updated 7 years ago
• fabianp / hoag
  Hyperparameter optimization with approximate gradient
  ☆66Updated 4 years ago
• zygmuntz / classifier-calibration
  Reliability diagrams, Platt's scaling, isotonic regression
  ☆76Updated 10 years ago
• fabianp / group_lasso
  ☆39Updated 12 years ago
• bsharchilev / influence_boosting
  Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"
  ☆67Updated last year
• vlosing / incrementalLearning
  ☆45Updated 6 years ago
• YoungHJung / OnlineBoostingWithVFDT
  Online multiclass boosting algorithm that uses VFDT as weak learners
  ☆16Updated 6 years ago
• automl / HPOlib1.5
  ☆69Updated 4 years ago
• chaitanya-m / kdd2018
  Files submitted to kdd2018 for EFDT paper
  ☆22Updated 6 years ago
• markm541374 / gpbo
  gpbo
  ☆25Updated 4 years ago
• AmazaspShumik / Mixture-Models
  Hierarchical Mixture of Experts,Mixture Density Neural Network
  ☆45Updated 8 years ago
• tmadl / sklearn-random-rotation-ensembles
  Scikit-learn compatible implementations of the Random Rotation Ensemble idea of (Blaser & Fryzlewicz, 2016)
  ☆43Updated 9 years ago
• rob-med / owlpy
  An open source time series library for Python implementing Matrix Profile
  ☆23Updated 6 years ago
• JackKelly / bayesianchangepoint
  An implementation of Adams & MacKay 2007 "Bayesian Online Changepoint Detection"
  ☆31Updated 10 years ago
• achab / nphc
  NPHC
  ☆17Updated 4 years ago
• rsheth80 / pmf-automl
  Data and code related to the paper "Probabilistic matrix factorization for automated machine learning", NIPS, 2018.
  ☆39Updated 3 years ago
• edwin-de-jong / incremental-sequence-learning
  Implementation of the Incremental Sequence Learning algorithms described in the Incremental Sequence Learning article
  ☆40Updated 7 years ago
• adith387 / slates_semisynth_expts
  Semi-synthetic experiments to test several approaches for off-policy evaluation and optimization of slate recommenders.
  ☆43Updated 7 years ago
• jamesrobertlloyd / automl-phase-2
  1st place submission to the AutoML competition - phase 2
  ☆28Updated 9 years ago
• LIBOL / SOL
  Library for Scalable Online Learning
  ☆98Updated 4 years ago
• ChunyuanLI / pSGLD
  AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)
  ☆35Updated 6 years ago
• franrruiz / p-emb
  Exponential family embeddings (Poisson or Bernoulli) for discrete data
  ☆32Updated 5 years ago
• kzky / python-online-machine-learning-library
  ☆23Updated 10 years ago
• bstriner / bayesian_dense
  Bayesian Weight Uncertainty Dense Layer for Keras
  ☆48Updated 8 years ago
• lucastheis / trlda
  Implementations of various online inference algorithms for LDA, with Python interface.
  ☆21Updated 10 years ago
• kingfengji / mGBDT
  This is the official clone for the implementation of the NIPS18 paper Multi-Layered Gradient Boosting Decision Trees (mGBDT) .
  ☆103Updated 6 years ago
• janvdvegt / KernelMixtureNetwork
  Kernel Mixture Network implementation with some minor tweaks
  ☆45Updated 7 years ago