Alternatives and similar repositories for bayesian-methods-for-ml

Users that are interested in bayesian-methods-for-ml are comparing it to the libraries listed below

• hse-aml / hadron-collider-machine-learning
  Materials for "Addressing Large Hadron Collider Challenges by Machine Learning" Coursera MOOC
  ☆96Updated 6 years ago
• cliburn / sta-663-2018
  ☆73Updated 6 years ago
• SummerSchoolMachineLearning / SMILES2020
  Repository with all material for SMILES, the Summer School of Machine Learning at Skoltech, taking place from the 16th to the 21st of Aug…
  ☆55Updated 4 years ago
• chrisorm / pydata-2018
  ☆64Updated 7 years ago
• cliburn / sta-663-2019
  Course notes for Computational Statistics and Statistical Compuing
  ☆63Updated 6 years ago
• alexsosn / MarslandMLAlgo
  Code and data for the second edition of the textbook `Machine Learning: An Algorithm Perspective" by Stephen Marsland.
  ☆149Updated 4 years ago
• fastai / numerical-linear-algebra-v2
  Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program
  ☆275Updated 6 years ago
• ageron / awesome-tensorflow
  TensorFlow - A curated list of dedicated resources http://tensorflow.org
  ☆87Updated 7 years ago
• fonnesbeck / Bayes_Computing_Course
  ☆231Updated 3 years ago
• glouppe / info8004-advanced-machine-learning
  Lectures for INFO8004 Advanced Machine Learning, ULiège
  ☆113Updated 2 months ago
• canyon289 / bayesian-model-evaluation
  Presented at Scipy Conference 2019
  ☆127Updated 5 years ago
• kojino / Harvard-Robust-Machine-Learning
  Repository for CS282R: Robust Machine Learning at Harvard University.
  ☆72Updated 7 years ago
• ivannz / mlss2019-bayesian-deep-learning
  MLSS2019 Tutorial on Bayesian Deep Learning
  ☆93Updated 5 years ago
• vsmolyakov / kaggle
  kaggle
  ☆29Updated 6 years ago
• joanbruna / MathsDL-spring19
  Mathematics of Deep Learning, Courant Insititute, Spring 19
  ☆277Updated 6 years ago
• fonnesbeck / mcmc_pydata_london_2019
  PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3
  ☆159Updated 5 years ago
• jayinai / kaggle-regression
  A compiled list of kaggle competitions and their winning solutions for regression problems.
  ☆147Updated 8 years ago
• mlss-2019 / tutorials
  ☆274Updated 4 years ago
• yandexdataschool / MLatImperial2017
  Materials for the course of machine learning at Imperial College organized by Yandex SDA
  ☆83Updated 8 years ago
• yanneta / deep-learning-with-pytorch
  ☆49Updated 5 years ago
• tensorchiefs / dl_book
  legend
  ☆204Updated last year
• hse-aml / competitive-data-science
  Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course
  ☆661Updated 5 years ago
• ikding / pycon_time_series
  PyCon 2017 tutorial on time series analysis
  ☆72Updated 8 years ago
• ericmjl / bayesian-stats-talk
  Doing Bayesian statistics in Python!
  ☆67Updated 7 years ago
• dgkim5360 / the-elements-of-statistical-learning-notebooks
  Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Frie…
  ☆288Updated 7 years ago
• dobriban / Topics-in-deep-learning
  Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)
  ☆95Updated 2 years ago
• SimonOuellette35 / Introduction_to_PyMC3
  ☆39Updated 6 years ago
• mlss-skoltech / lectures
  repository with the lectures for MLSS Skoltech
  ☆139Updated 5 years ago
• Wrosinski / MachineLearning_ResourcesCompilation
  Compilation of resources found around the web connected with Machine Learning, Deep Learning & Data Science in general.
  ☆92Updated 7 years ago
• suriyadeepan / BayesianML
  Experiments in Bayesian Machine Learning
  ☆69Updated 5 years ago