Alternatives and similar repositories for advanced-comp-2017

Users that are interested in advanced-comp-2017 are comparing it to the libraries listed below

• fonnesbeck / PyMC3_Oslo
  Probabilistic programming in Python workshop at Oslo universitetssykehus HF
  ☆36Updated 9 years ago
• mrocklin / dask-workshop
  ☆28Updated 8 years ago
• lendle / SuPyLearner
  An implementation of the SuperLearner algorithm in Python based on scikit-learn.
  ☆25Updated 11 years ago
• rhiever / active-categorical-classifier
  A tool that evolves small brains capable of scanning and classifying an image.
  ☆14Updated 8 years ago
• HHammond / kcbo
  A Bayesian testing framework written in Python.
  ☆94Updated 10 years ago
• yandexdataschool / mlhep2015
  MLHEP 2015 materials (http://hse.ru/mlhep2015)
  ☆19Updated 9 years ago
• slipguru / adenine
  ADENINE: A Data ExploratioN PipelINE
  ☆15Updated 6 years ago
• TomAugspurger / postlearn
  Common post-estimation tasks for scikit-learn
  ☆17Updated 8 years ago
• wildtreetech / advanced-computing-2018
  Material for a course on applied machine-learning for scientists. Taught at EPFL in spring 2018.
  ☆11Updated 7 years ago
• jfpuget / Tidy-Data
  Python code for Hadley Whickham's article on Tidy Data.
  ☆35Updated 8 years ago
• rlabbe / statistical-rethinking
  Notebooks containing R code from Richard McElreath's Statistical Rethinking
  ☆72Updated 9 years ago
• DataNeel / nx2_cross_validation
  Run Nx2 Cross Validation for multiple binary classifiers in parallel with optional downsampling
  ☆13Updated 10 years ago
• GaelVaroquaux / interpreting_ml_tuto
  Tutorial on interpreting and understanding machine learning models
  ☆69Updated 6 years ago
• mdeff / python_tour_of_data_science
  A Python Tour of Data Science
  ☆30Updated 7 years ago
• szilard / GBM-multicore
  GBM multicore scaling: h2o, xgboost and lightgbm on multicore and multi-socket systems
  ☆20Updated 7 years ago
• yandexdataschool / MLatGradDays
  Course of Machine Learning in Science and Industry at Heidelberg university
  ☆47Updated 8 years ago
• pbstark / MX14
  Short course on nonparametric inference in auditing and litigation, XXIX Foro Internacional de Estadistica, Puebla, MX
  ☆15Updated 8 years ago
• yandexdataschool / MLatImperial2016
  Materials for the course of machine learning at Imperial College organized by YSDA
  ☆23Updated 9 years ago
• joelgrus / odscnet
  repo for my ODSC West 2017 Talk: "Livecoding Madness: Let's Build a Deep Learning Library"
  ☆13Updated 7 years ago
• peterjsadowski / lhc2015-dl-tutorial
  ☆10Updated 9 years ago
• zygmuntz / kaggle-rossmann
  Predicting sales with Pandas
  ☆15Updated 9 years ago
• tbroderick / mlss2015_bnp_tutorial
  ☆24Updated 9 years ago
• amueller / advanced-sklearn-boston-nlp-2016
  Material and slides for Boston NLP meetup May 23rd 2016
  ☆17Updated 9 years ago
• rubik / sklearn-pdtransform
  Sklearn transformers that work with Pandas dataframes
  ☆12Updated 4 years ago
• GaelVaroquaux / sklearn_europython_2014
  Scikit-learn Tutorial at EuroPython 2014
  ☆43Updated 6 years ago
• glouppe / notebooks
  Random fiddling stored in notebooks
  ☆22Updated 8 years ago
• abhishekkrthakur / automl_gpu
  ☆25Updated 9 years ago
• ledell / h2oEnsemble-benchmarks
  Benchmarks of the H2O Ensemble R interface (H2O 2.0).
  ☆14Updated 4 years ago
• szilard / xgboost-adv-workshop-LA
  Advanced workshop on XGBoost with Tianqi Chen in Santa Monica, June 2, 2016
  ☆26Updated 8 years ago
• cavaunpeu / gaussian-processes
  A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.
  ☆16Updated 7 years ago