Alternatives and similar repositories for tutorials

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

• fonnesbeck / gp_tutorial_pydata
  PyData San Luis 2017 Tutorial: An Introduction to Gaussian Processes in PyMC3
  ☆15Updated 7 years ago
• hse-aml / bayesian-methods-for-ml
  Materials for "Bayesian Methods for Machine Learning" Coursera MOOC
  ☆135Updated 5 years ago
• alexsosn / MarslandMLAlgo
  Code and data for the second edition of the textbook `Machine Learning: An Algorithm Perspective" by Stephen Marsland.
  ☆148Updated 4 years ago
• Rachnog / Optimization-Algorithms
  Optimization methods
  ☆30Updated 10 years ago
• SimonOuellette35 / Introduction_to_PyMC3
  ☆39Updated 6 years ago
• chrisorm / pydata-2018
  ☆64Updated 7 years ago
• cesium-ml / cesium_web
  Cesium Web Frontend
  ☆43Updated 5 years ago
• mmckerns / tutmom
  Tutorial on "Modern Optimization Methods in Python"
  ☆249Updated 6 months ago
• mikecroucher / nearest_correlation
  Python versions of nearest correlation matrix algorithms
  ☆41Updated 6 years ago
• zjost / bayesian-linear-regression
  A python tutorial for a Bayesian treatment of Linear Regression: https://zjost.github.io/bayesian-linear-regression/
  ☆82Updated 8 years ago
• tirthajyoti / mlr
  Multiple linear regression with statistical inference, residual analysis, direct CSV loading, and other features
  ☆34Updated 6 years ago
• cliburn / sta-663-2018
  ☆73Updated 6 years ago
• davidrosenberg / ml2018
  DSGA-1003: Machine Learning and Computational Statistics, Spring 2018
  ☆26Updated 2 years ago
• csalinasonline / LinAlgML
  Linear Algebra for Machine Learning Book Exercises
  ☆13Updated 6 years ago
• yandexdataschool / MLatGradDays
  Course of Machine Learning in Science and Industry at Heidelberg university
  ☆47Updated 8 years ago
• Garima13a / Kalman-Filters
  Kalman filtering, also known as linear quadratic estimation (LQE), is an algorithm that uses a series of measurements observed over time…
  ☆92Updated 3 years ago
• neurospin / pystatsml
  Statistics and Machine Learning in Python
  ☆70Updated 4 years ago
• mikemull / Notebooks
  Ipython notebooks on various topics
  ☆67Updated 6 years ago
• Hvass-Labs / MetaOps
  Tuning the Parameters of Heuristic Optimizers (Meta-Optimization / Hyper-Parameter Optimization)
  ☆55Updated 6 years ago
• fchollet / nelder-mead
  Pure Python/Numpy implementation of the Nelder-Mead algorithm.
  ☆125Updated 4 years ago
• cvxgrp / cvx_short_course
  Materials for a short course on convex optimization.
  ☆348Updated 3 months ago
• amueller / talks_odt
  Slides and materials for most of my talks by year
  ☆92Updated 2 years ago
• yaricom / TimeSeriesLearning
  The project aimed to implement Deep NN / RNN based solution in order to develop flexible methods that are able to adaptively fillin, back…
  ☆26Updated 9 years ago
• jerkern / pyParticleEst
  Python Library for Particle based estimation methods
  ☆63Updated 6 years ago
• gpschool / gpss18
  Gaussian Process and Uncertainty Quantification Summer School 2018
  ☆31Updated 2 years ago
• lmjohns3 / kohonen
  Kohonen vector quantizers (SOM, NG, GNG)
  ☆71Updated 7 years ago
• jnafzig / KalmanFlow
  A simple Kalman Filter built in TensorFlow
  ☆23Updated 7 years ago
• suriyadeepan / BayesianML
  Experiments in Bayesian Machine Learning
  ☆69Updated 6 years ago
• AlexIoannides / pymc-stochastic-process
  Bayesian Inference and parameter estimation in quant finance.
  ☆42Updated 6 years ago
• chaaland / bloomberg-ml-course
  Solutions to machine learning HW from bloomberg ml course
  ☆11Updated 6 years ago