Alternatives and similar repositories for deep-learning-from-scratch-pytorch

Users that are interested in deep-learning-from-scratch-pytorch are comparing it to the libraries listed below

• jacobtomlinson / dask-video-tutorial
  Dask tutorial material for video tutorial series
  ☆87Updated last year
• enthought / Numpy-Tutorial-SciPyConf-2020
  Numpy-Tutorial-SciPyConf-2020
  ☆29Updated 3 years ago
• chendaniely / scipy-2020-pandas
  Learn Python through Data Processing in Pandas Tutorial
  ☆38Updated 4 years ago
• martindurant / dask-tutorial-scipy-2018
  Materials for "Parallelizing Scientific Python with Dask"
  ☆70Updated 6 years ago
• coiled / data-science-at-scale
  A Pythonic introduction to methods for scaling your data science and machine learning work to larger datasets and larger models, using th…
  ☆115Updated 2 years ago
• engineersCode / EngComp4_landlinear
  Using computational thinking to get deep insights on the foundations of linear algebra
  ☆114Updated 2 months ago
• dennisbakhuis / Tutorials
  Jupyter Notebooks and other material from tutorial sessions on Machine Learning, Data Science, and related
  ☆56Updated 3 years ago
• jiffyclub / scipy-2020-intro-to-python
  Introduction to Python Tutorial at SciPy 2020
  ☆23Updated 4 years ago
• lesteve / euroscipy-2019-scikit-learn-tutorial
  ☆29Updated 5 years ago
• fonnesbeck / mcmc_pydata_london_2019
  PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3
  ☆159Updated 5 years ago
• AllenDowney / BayesianDecisionAnalysis
  Repository for a workshop on Bayesian Decision Analysis
  ☆70Updated 2 years ago
• TomAugspurger / dask-tutorial-pycon-2018
  ☆135Updated 5 years ago
• AllenDowney / BayesianInferencePyMC
  Workshop on Bayesian inference using PyMC
  ☆27Updated 3 years ago
• harnav / pydata-docker-tutorial
  Tutorial given at PyData LA 2018
  ☆97Updated 10 months ago
• fonnesbeck / Bayes_Computing_Course
  ☆231Updated 3 years ago
• AllenDowney / SurvivalAnalysisPython
  Explorations of survival analysis in Python
  ☆50Updated 2 years ago
• rasbt / stat451-machine-learning-fs21
  ☆151Updated 3 years ago
• thomasjpfan / ml-workshop-advanced
  ☆15Updated 3 years ago
• pangeo-data / ml-workflow-examples
  Simple examples of data pipelines from xarray to ML training
  ☆22Updated 5 years ago
• matplotlib / GettingStarted
  Scipy 2019 Tutorial
  ☆35Updated 5 years ago
• JesperDramsch / ml.recipes
  Increase citations, ease review & collaboration A collection of "easy wins" to make machine learning in research reproducible. This tut…
  ☆74Updated 6 months ago
• hugobowne / bayesian-stats-simulation-tutorial
  Bayesian statistical modelling using numpy and PyMC3. Telling stories using the language of probability. And more!
  ☆16Updated 6 years ago
• AllenDowney / ComplexityScience
  Repository for a workshop on Complexity Science
  ☆39Updated 3 years ago
• cfgranda / math-tools-nyu
  DS-GA 1013 Mathematical Tools for Data Science
  ☆52Updated 4 years ago
• pysal / scipy2019-intermediate-gds
  This is the Intermediate Data Science Workshop for the 2019 Scientific Python conference in Austin, TX.
  ☆79Updated 2 years ago
• data-umbrella / data-umbrella-scikit-learn-sprint
  scikit-learn sprint docs
  ☆185Updated last year
• amueller / COMS4995-s20
  COMS W4995 Applied Machine Learning - Spring 20
  ☆247Updated 3 years ago
• jorisvandenbossche / DS-python-data-analysis
  Data manipulation, analysis and visualisation in Python - specialist course Doctoral schools of Ghent University
  ☆108Updated 4 months ago
• amueller / aml
  Applied Machine Learning with Python
  ☆80Updated last year
• jupyter-guide / jupyter-guide
  Guide for Reproducible Research and Data Science in Jupyter Notebooks
  ☆126Updated 5 years ago