Alternatives and similar repositories for kdd2018

Users that are interested in kdd2018 are comparing it to the libraries listed below

• vitords / HoeffdingTree
  A Python implementation of the Hoeffding Tree algorithm.
  ☆48Updated 2 years ago
• kiudee / cs-ranking
  Context-sensitive ranking and choice in Python with PyTorch
  ☆67Updated 2 years ago
• YoungHJung / OnlineBoostingWithVFDT
  Online multiclass boosting algorithm that uses VFDT as weak learners
  ☆17Updated 6 years ago
• abhishekkrthakur / automl_gpu
  ☆25Updated 9 years ago
• RobRomijnders / bandit
  Implementation of Counterfactual risk minimization
  ☆26Updated 8 years ago
• charliermarsh / online_boosting
  A suite of boosting algorithms for the online learning setting.
  ☆65Updated 8 years ago
• trungngv / gpfm
  Gaussian Process Factorization Machines for Context-aware Recommendations
  ☆42Updated 10 years ago
• LIBOL / LIBOL
  Library for Online Learning algorithms
  ☆67Updated 10 years ago
• nel215 / mondrianforest
  An online random forest implementaion written in Python.
  ☆40Updated 9 years ago
• crowdAI / crowdai-criteo-ad-placement-challenge-starter-kit
  Starter kit for getting started in the NIPS 2017 Criteo Ad Placement Challenge
  ☆18Updated 7 years ago
• stitchfix / NTFLib
  Sparse Beta-Divergence Tensor Factorization Library
  ☆48Updated 2 months ago
• CarsonScott / Online-Category-Learning
  ML algorithm for real-time classification
  ☆73Updated 8 years ago
• hamaadshah / gan_tensorflow
  Automatic feature engineering using Generative Adversarial Networks using TensorFlow.
  ☆51Updated 2 years ago
• automl / ParameterImportance
  Parameter Importance Analysis Tool
  ☆77Updated 4 years ago
• rakesh-chinta / Advanced-Factorization-of-Machine-Systems
  GSOC 2017 - Apache Organization - # Implementation of Factorization Machines on Spark using parallel stochastic gradient descent (python…
  ☆14Updated 8 years ago
• danielhanchen / sciblox
  sciblox - Easier Data Science and Machine Learning
  ☆50Updated 8 years ago
• suriyadeepan / BayesianML
  Experiments in Bayesian Machine Learning
  ☆69Updated 6 years ago
• johannespetrat / OptML
  Implementation of several black-box optimisation methods to tune hyperparameters of machine learning models.
  ☆77Updated 7 years ago
• cmuxstream / cmuxstream-core
  Static (Python) and streaming (C++) implementations of xStream (KDD 2018).
  ☆31Updated 7 years ago
• mesuvash / pyrec
  ☆10Updated 9 years ago
• mblondel / ivalice
  Boosting and ensemble learning in Python.
  ☆54Updated 10 years ago
• IntelLabs / TSAD-Evaluator
  Intel Labs open source repository for time series anomaly detection evaluator
  ☆42Updated 8 months ago
• qf6101 / multinomial-factorization-machines
  Multinomial Factorization Machines
  ☆21Updated 8 years ago
• MLWave / Online-Random-Bit-Regression-FTRL
  Online Random Bit Regression with FTRL-Proximal in Python
  ☆75Updated 9 years ago
• dclambert / pyensemble
  An implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn
  ☆150Updated 4 years ago
• gregversteeg / discrete_sieve
  The information sieve for discrete variables.
  ☆36Updated 8 years ago
• cgnorthcutt / rankpruning
  🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.
  ☆82Updated 3 years ago
• MLWave / RGF-sklearn
  Scikit-learn API toy wrapper for Regularized Greedy Forests
  ☆44Updated 9 years ago
• mxbi / ftim
  Feature-Time Instability Metric
  ☆44Updated 9 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