Alternatives and similar repositories for pyblique:

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

• augboost-anon / augboost
  Gradient Boosting Enhanced with Step-Wise Feature Augmentation
  ☆16Updated 4 years ago
• zli37 / bayesianRuleSet
  Using Bayesian inference to mine rule sets
  ☆10Updated 5 years ago
• rjagerman / wsdm2019-nonstationary
  Non-stationary Off-policy Evaluation
  ☆13Updated 6 years ago
• AndriyMulyar / sklearn-oblique-tree
  a python interface to OC1 and other oblique decision tree implementations
  ☆44Updated 2 years ago
• vveitch / causal-embeddings
  Code for "Using Embeddings to Correct for Unobserved Confounding"
  ☆10Updated 5 years ago
• franck-durand / tsboost
  Time Series Forecasting Framework
  ☆41Updated 2 years ago
• ldv1 / LinXGBoost
  Extension of the awesome XGBoost to linear models at the leaves
  ☆78Updated 5 years ago
• franrruiz / p-emb
  Exponential family embeddings (Poisson or Bernoulli) for discrete data
  ☆32Updated 5 years ago
• RobRomijnders / bandit
  Implementation of Counterfactual risk minimization
  ☆26Updated 7 years ago
• taposh / forecast
  Forecasting library in python
  ☆13Updated 5 years ago
• tonyduan / hte-prediction-rcts
  Predicting treatment effects from RCTs (Circulation: CQO 2019).
  ☆10Updated 2 years ago
• david-cortes / ctpfrec
  Python implementation of "Content-based recommendations with poisson factorization", with some extensions
  ☆30Updated last year
• jrzaurin / infinitoml
  ☆12Updated last year
• criteo-research / tf-tile
  TF-Tile: an efficient sparse representation for real-valued data
  ☆13Updated last year
• benoitdescamps / Neural-Tree
  Tensorflow implementation of a Tree
  ☆36Updated 5 years ago
• Atomu2014 / Optimization-Algorithms
  This is a paper list for recent studies on optimization algorithms.
  ☆12Updated 6 years ago
• YoungHJung / OnlineBoostingWithVFDT
  Online multiclass boosting algorithm that uses VFDT as weak learners
  ☆16Updated 6 years ago
• olivierjeunen / dual-bandit-kdd-2020
  Source code for our paper "Joint Policy-Value Learning for Recommendation" published at KDD 2020.
  ☆21Updated last year
• closest-git / QuantumForest
  Fast Differentiable Forest lib with the advantages of both decision trees and neural networks
  ☆78Updated 3 years ago
• markm541374 / gpbo
  gpbo
  ☆25Updated 4 years ago
• IlyaTrofimov / bb2vec
  This is the source code of the paper "Inferring Complementary Products from Baskets and Browsing Sessions"
  ☆11Updated 6 years ago
• criteo-research / blob
  Source code for our paper "BLOB: a probabilistic model for recommendation that combines organic and bandit signals" published at KDD 2020…
  ☆16Updated last year
• MingLin-home / gFM
  gFM: An Efficient Solver for generalized Factorization Machine
  ☆8Updated 8 years ago
• yaringal / keras
  ☆12Updated 6 years ago
• steveli / gp-adapter
  Scalable GP Adapter for Time Series Classification
  ☆13Updated 7 years ago
• usaito / counterfactual-cv
  (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’
  ☆31Updated last year
• tomlinsonk / choice-set-opt
  Code accompanying our ICML 2020 paper on choice set optimization in group decision-making.
  ☆11Updated 4 years ago
• bsharchilev / influence_boosting
  Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"
  ☆67Updated 8 months ago
• ppontisso / Extreme-Multi-Label-Classification
  Introduction Notebook to Extreme Multi-Label Classification problem (XML)
  ☆22Updated 6 years ago
• ixxi-dante / an2vec
  Bringing node2vec and word2vec together for cool stuff
  ☆22Updated 5 years ago