Alternatives and similar repositories for hypertools-paper-notebooks

Users that are interested in hypertools-paper-notebooks are comparing it to the libraries listed below

• kylemcdonald / Coloring-t-SNE
  Exploration of methods for coloring t-SNE.
  ☆218Updated 8 years ago
• brannondorsey / keras_weight_animator
  Save keras weight matrices as short animated videos during training
  ☆105Updated 8 years ago
• 0011001011 / vizuka
  Explore high-dimensional datasets and how your algo handles specific regions.
  ☆107Updated 7 years ago
• EFavDB / linselect
  ☆88Updated 7 years ago
• alvarouc / polyssifier
  run a multitude of classifiers on you data and get an AUC report
  ☆68Updated 2 years ago
• jfsantos / keras-tutorial
  Tutorial teaching the basics of Keras and some deep learning concepts
  ☆104Updated 9 years ago
• rhiever / sklearn-benchmarks
  A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.
  ☆213Updated 8 years ago
• bbli / ml_board
  a machine learning dashboard that displays hyperparameter settings alongside visualizations, and logs the scientist's thoughts throughout…
  ☆129Updated 3 years ago
• lmc2179 / bayesian_bootstrap
  bayesian bootstrapping in python
  ☆123Updated 3 years ago
• csaid / polished_notebooks
  Jupyter notebook presentations with optional code visibility and no ugly elements
  ☆68Updated 8 years ago
• tmadl / sklearn-interpretable-tree
  Simplified tree-based classifier and regressor for interpretable machine learning (scikit-learn compatible)
  ☆46Updated 4 years ago
• dask / dask-searchcv
  dask-searchcv is now part of dask-ml: https://github.com/dask/dask-ml
  ☆241Updated 7 years ago
• fonnesbeck / PyMC3_DataScienceLA
  PyMC3 tutorial for DataScience LA (January 2017)
  ☆67Updated 7 years ago
• MLWave / Black-Boxxy
  Some experiments into explaining complex black box ensemble predictions.
  ☆74Updated 6 years ago
• ronojoy / pylearn
  Bayesian machine learning in Python
  ☆76Updated 10 years ago
• jmcarpenter2 / parfit
  A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.
  ☆199Updated last year
• jakevdp / altair-examples
  Some examples of Altair plots
  ☆92Updated 6 years ago
• amueller / advanced_training
  Advanced Scikit-learn training session
  ☆119Updated 9 years ago
• maxsklar / BayesPy
  Bayesian Inference Tools in Python
  ☆109Updated 2 years ago
• kzuiderveld / deeplearning1
  Experiments for Jeremy Howard's deep learning courses
  ☆39Updated 8 years ago
• rdipietro / jupyter-notebooks
  ☆78Updated 7 years ago
• junpenglao / Bayesian-Cognitive-Modeling-in-Pymc3
  PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course
  ☆96Updated 8 years ago
• jnothman / searchgrid
  Helpers for constructing scikit-learn grid search
  ☆39Updated 5 years ago
• CoAxLab / DeBaCl
  Density Based Clustering (DeBaCl) Toolbox
  ☆102Updated 5 years ago
• sigopt / sigopt-sklearn
  SigOpt wrappers for scikit-learn methods
  ☆75Updated 2 years ago
• caioaao / wolpert
  A stacked generalization framework. Built on top of scikit learn
  ☆58Updated 3 years ago
• drewabbot / kaggle-seizure-prediction
  ☆42Updated 11 years ago
• stitchfix / diamond
  Python solver for mixed-effects models
  ☆97Updated 8 months ago
• Kaixhin / FGLab
  Future Gadget Laboratory
  ☆222Updated 7 years ago
• ferrine / gelato
  Bayesian dessert for Lasagne
  ☆83Updated 8 years ago