Alternatives and similar repositories for talks

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

• RJT1990 / PyData2016-SanFrancisco
  A Tour of Time Series Analysis
  ☆23Updated 8 years ago
• aflaxman / pymc-examples
  PyMC Example Notebooks
  ☆74Updated 11 years ago
• fonnesbeck / multilevel_modeling
  Tutorial on multilevel modeling, using Gelman radon example
  ☆58Updated 9 years ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆25Updated 5 years ago
• slipguru / adenine
  ADENINE: A Data ExploratioN PipelINE
  ☆15Updated 6 years ago
• ericmjl / bayesian-stats-talk
  Doing Bayesian statistics in Python!
  ☆67Updated 7 years ago
• fastforwardlabs / couples-lime
  Notebook demonstrating use of LIME to interpret a model of long-term relationship success
  ☆24Updated 7 years ago
• blue-yonder / pydse
  Python package for dynamic system estimation of time series
  ☆40Updated 4 years ago
• codyrioux / pydata2015seattle
  Tutorial materials for PyData 2015 Seattle.
  ☆34Updated 9 years ago
• parsing-science / pydata_nyc_nov_2017
  ☆30Updated 7 years ago
• springcoil / PyDataLondonTutorial
  PyDataLondonTutorial
  ☆26Updated 9 years ago
• amueller / patsylearn
  Patsy Adaptors for Scikit-learn
  ☆48Updated 6 years ago
• parsing-science / pymc3_quickstart_guide
  ☆80Updated 8 years ago
• bwengals / pymc
  Probabilistic Programming in Python. Uses Theano as a backend, supports NUTS and ADVI.
  ☆9Updated 3 months ago
• thuijskens / thuijskens.github.io
  Repository for thuijskens.github.io
  ☆11Updated 2 years ago
• drivendataorg / power-laws-cold-start
  ☆23Updated last year
• jehangiramjad / tslib
  Time Series Forecasting and Imputation
  ☆48Updated 3 years ago
• TomAugspurger / postlearn
  Common post-estimation tasks for scikit-learn
  ☆17Updated 8 years ago
• HHammond / kcbo
  A Bayesian testing framework written in Python.
  ☆94Updated 10 years ago
• mewwts / feng
  feng - feature engineering for machine-learning champions
  ☆27Updated 8 years ago
• amueller / advanced-sklearn-boston-nlp-2016
  Material and slides for Boston NLP meetup May 23rd 2016
  ☆17Updated 9 years ago
• EvoML / EvoML
  Using Genetic Algorithms to aid Machine Learning
  ☆18Updated 7 years ago
• lacava / few
  a feature engineering wrapper for sklearn
  ☆51Updated 4 years ago
• PMBio / pygp
  A Gaussian process toolbox in python
  ☆42Updated 13 years ago
• steve98654 / PyTalk
  Files for Python Talk
  ☆24Updated 9 years ago
• rgerkin / pystan-sklearn
  ☆32Updated 7 years ago
• klingebj / regreg
  Python algorithms for regularized regression
  ☆24Updated 9 years ago
• tmadl / sklearn-interpretable-tree
  Simplified tree-based classifier and regressor for interpretable machine learning (scikit-learn compatible)
  ☆47Updated 4 years ago
• balajiln / pgbart
  Particle Gibbs for Bayesian Additive Regression Trees
  ☆32Updated 9 years ago
• erikson84 / BayesDataAnalysisWithPyMC
  Python (PyMC) adaptation of the R code from "Doing Bayesian Data Analysis"
  ☆64Updated 8 years ago