Alternatives and similar repositories for bootstrapbandits:

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

• abhishekkrthakur / automl_gpu
  ☆25Updated 8 years ago
• vchahun / yart
  Yet another regression toolkit
  ☆12Updated 11 years ago
• premgopalan / bnprec
  Gopalan, P., Ruiz, F. J., Ranganath, R., & Blei, D. M. (2014). Bayesian Nonparametric Poisson Factorization for Recommendation Systems. I…
  ☆15Updated 10 years ago
• shashankg7 / Matrix-Factorization-GPU
  Large scale matrix factorization on GPU
  ☆19Updated 8 years ago
• zygmuntz / kaggle-rossmann
  Predicting sales with Pandas
  ☆15Updated 9 years ago
• JonathanRaiman / rsm
  Topic analysis using RSM or PVDM.
  ☆11Updated 10 years ago
• BenjaminBossan / mink
  A neural network library based on tensorflow and with true sklearn compatibility.
  ☆11Updated 8 years ago
• yoonkim / kdd_2014
  Code for KDD 2014
  ☆16Updated 9 years ago
• grfiv / healthcare_twitter_analysis
  Healthcare Twitter Analysis
  ☆26Updated 8 years ago
• ChrisRackauckas / TBEEF
  TBEEF, a doubly ensemble framework for recommendation and prediction problems.
  ☆20Updated 8 years ago
• ofirnachum / uncertainty_gbm
  Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data
  ☆26Updated 8 years ago
• zlosa / TPOT_Kaggle
  Datasets and notebooks
  ☆13Updated 8 years ago
• djsutherland / skl-groups
  scikit-learn addon to operate on set/"group"-based features
  ☆41Updated 8 years ago
• zygmuntz / spearmint
  tuning hyperparams automatically with spearmint
  ☆15Updated 10 years ago
• shashankg7 / Visual-Question-Answering
  Visual Question Answering system's different implementations
  ☆10Updated 8 years ago
• ogrisel / spylearn
  Repo for experiments on pyspark and sklearn
  ☆79Updated 11 years ago
• rezazadeh / spark
  Mirror of Apache Spark
  ☆24Updated 9 years ago
• alextp / pylda
  An implementation of gibbs sampling for Latent Dirichlet Allocation
  ☆30Updated 13 years ago
• gregversteeg / discrete_sieve
  The information sieve for discrete variables.
  ☆36Updated 8 years ago
• MLWave / normalized-compression-neighbors
  Document or binary file vectorization with Normalized Compression Distance in Python.
  ☆17Updated 9 years ago
• chengsoonong / digbeta
  Active learning for Big Data
  ☆25Updated 6 years ago
• braz / pycon2016_talk
  The notes and slides from my PyCon Ireland 2016 PyData talk an introduction to gradient boosting
  ☆18Updated 8 years ago
• satyenrajpal / RL_algos
  Reinforcement Learning Algorithms
  ☆14Updated 6 years ago
• lateral / hyperplane-hasher
  Implementation of an algorithm computing the nearest "N" neighbours to a vector, using a collection of hyperplane hashers.
  ☆30Updated 9 years ago
• SheffieldML / collab
  Collaborative filtering with the GP-LVM
  ☆25Updated 9 years ago
• instagibbs / FactorizationMachine
  ☆36Updated 9 years ago
• RobRomijnders / bandit
  Implementation of Counterfactual risk minimization
  ☆26Updated 7 years ago
• cjf00000 / ScaCTM
  Scalable inference for Correlated Topic Models
  ☆30Updated 10 years ago
• mbeissinger / recurrent_gsn
  Deep Generative Stochastic Networks for Sequence Prediction
  ☆8Updated 2 years ago
• alexeygrigorev / classifying-crisis-reports-dsc
  The top 10 solution to the "Growing Instability: Classifying Crisis Reports" challenge
  ☆21Updated 7 years ago