Alternatives and similar repositories for openml-pimp:

Users that are interested in openml-pimp are comparing it to the libraries listed below

• ja-thomas / OMLbots
  ☆13Updated 6 years ago
• automl / HPOlib1.5
  ☆69Updated 4 years ago
• openml / Study-14
  ☆12Updated 3 years ago
• BigBayes / SGRLD
  Stochastic Gradient Riemannian Langevin Dynamics
  ☆33Updated 9 years ago
• itsrainingdata / sparsebn
  Software for learning sparse Bayesian networks
  ☆43Updated 4 years ago
• tonyduan / hte-prediction-rcts
  Predicting treatment effects from RCTs (Circulation: CQO 2019).
  ☆10Updated 2 years ago
• m2dsupsdlclass / azure-deployment
  Deployment instructions to get a GPU VM for the Deep Learning class
  ☆17Updated 6 years ago
• ptoulis / implicit-sgd
  Using stochastic gradient descent (SGD) with explicit and implicit updates to fit large-scale statistical models.
  ☆16Updated 10 years ago
• PhilippPro / tunability
  ☆8Updated 5 years ago
• modal-inria / MixtComp
  Model-based clustering package for mixed data
  ☆13Updated 9 months ago
• slds-lmu / paper_2019_iml_measures
  Quantifying Interpretability of Arbitrary Machine Learning Models Through Functional Decomposition
  ☆16Updated 5 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
• EpistasisLab / ReBATE
  Relief Based Algorithms of ReBATE implemented in Python with Cython optimization. This repository is no longer being updated. Please see…
  ☆33Updated 6 years ago
• rivolli / mfe
  Meta-Feature Extractor
  ☆28Updated 2 years ago
• nanxstats / sdml
  Supervised Distance Metric Learning with R
  ☆20Updated 5 years ago
• MI2DataLab / pyBreakDown
  Python implementation of R package breakDown
  ☆42Updated last year
• davpinto / fastknn
  Fast k-Nearest Neighbors Classifier for Large Datasets
  ☆69Updated 7 years ago
• haozhenWu / Calibrated-Boosting-Forest
  Original implementation of Calibrated Boosting-Forest
  ☆18Updated 7 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
• zalandoresearch / probrnn
  State space modeling with recurrent neural networks
  ☆43Updated 6 years ago
• cavaunpeu / gaussian-processes
  A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.
  ☆16Updated 6 years ago
• abhishekkrthakur / automl_gpu
  ☆25Updated 8 years ago
• markm541374 / gpbo
  gpbo
  ☆25Updated 4 years ago
• ModelOriented / pyCeterisParibus
  Python library for Ceteris Paribus Plots (What-if plots)
  ☆19Updated 3 years ago
• datarobot / pic2vec
  Lightweight Image Featurization Made Easy
  ☆31Updated 3 years ago
• arapat / sparrow
  Sparrow is a boosting algorithm implementation that is optimized for training on very large datasets and/or in the limited memory setting…
  ☆21Updated 4 years ago
• abhishekmalali / h2o-hyperopt
  Library for integrated use of H2O with Hyperopt
  ☆13Updated 11 months ago
• SheffieldML / collab
  Collaborative filtering with the GP-LVM
  ☆25Updated 9 years ago
• TaddyLab / bayesian-forest
  ☆31Updated 8 years ago
• Laurae2 / CategoricalAnalysis
  Analysis of Categorical Encodings for dense Decision Trees
  ☆41Updated 7 years ago