Alternatives and similar repositories for scipy-japan-2019

Users that are interested in scipy-japan-2019 are comparing it to the libraries listed below

• amueller / COMS4995-s20
  COMS W4995 Applied Machine Learning - Spring 20
  ☆245Updated 3 years ago
• chendaniely / scipy-2019-pandas
  Pandas tutorial for SciPy 2019
  ☆102Updated 2 years ago
• hugobowne / deep-learning-from-scratch-pytorch
  Deep Learning from Scratch with PyTorch
  ☆120Updated 5 years ago
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆106Updated 3 years ago
• enthought / Numpy-Tutorial-SciPyConf-2019
  Numpy-Tutorial-SciPyConf-2019
  ☆100Updated 3 years ago
• parrt / msds621
  Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning
  ☆346Updated 4 years ago
• rasbt / stat479-deep-learning-ss19
  Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison
  ☆545Updated 6 years ago
• rasbt / stat479-machine-learning-fs18
  Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison
  ☆498Updated 7 years ago
• amueller / ml-workshop-4-of-4
  Advanced Machine Learning with Scikit-learn part II
  ☆163Updated 5 years ago
• amueller / ml-workshop-3-of-4
  Advanced Machine Learning with Scikit-learn part I
  ☆143Updated 5 years ago
• fastai / numerical-linear-algebra-v2
  Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program
  ☆280Updated 7 years ago
• kirit93 / NumpyTutorial
  Notebooks for tutorial on Numpy.
  ☆59Updated 5 years ago
• rasbt / stat453-deep-learning-ss20
  STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)
  ☆576Updated 5 years ago
• amueller / ml-workshop-1-of-4
  Introduction to Machine learning with Python, 4h interactive workshop
  ☆312Updated 5 years ago
• amueller / scipy-2018-sklearn
  Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller
  ☆249Updated 7 years ago
• PacktPublishing / Mastering-Machine-Learning-Algorithms-Second-Edition
  Mastering Machine Learning Algorithms Second Edition, published by Packt
  ☆65Updated 4 years ago
• etcrago / Tutorial-Arima-w-jeffrey-yau
  ☆98Updated 7 years ago
• AllenDowney / BayesMadeSimple
  Code for a tutorial on Bayesian Statistics by Allen Downey.
  ☆357Updated 5 years ago
• harnav / pydata-docker-tutorial
  Tutorial given at PyData LA 2018
  ☆97Updated last year
• canyon289 / bayesian-model-evaluation
  Presented at Scipy Conference 2019
  ☆127Updated 5 years ago
• klemag / pydata_nyc2018-intro-to-model-interpretability
  Notebook and slides for my talk at Pydata NYC 2018
  ☆88Updated last year
• amueller / ml-workshop-2-of-4
  Intermediate Machine Learning with Scikit-learn, 4h interactive workshop
  ☆128Updated 4 years ago
• hse-aml / bayesian-methods-for-ml
  Materials for "Bayesian Methods for Machine Learning" Coursera MOOC
  ☆137Updated 5 years ago
• dziganto / Data_Science_Fundamentals
  ☆101Updated 7 years ago
• deniederhut / Pandas-Tutorial-SciPyConf-2018
  ☆50Updated 7 years ago
• SimonOuellette35 / Introduction_to_PyMC3
  ☆39Updated 7 years ago
• fonnesbeck / Bayes_Computing_Course
  ☆234Updated 4 years ago
• hse-aml / hadron-collider-machine-learning
  Materials for "Addressing Large Hadron Collider Challenges by Machine Learning" Coursera MOOC
  ☆95Updated 6 years ago
• martindurant / dask-tutorial-scipy-2018
  Materials for "Parallelizing Scientific Python with Dask"
  ☆70Updated 7 years ago
• TomAugspurger / dask-tutorial-pycon-2018
  ☆135Updated 6 years ago