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

• chendaniely / scipy-2020-pandas
  Learn Python through Data Processing in Pandas Tutorial
  ☆38Updated 4 years ago
• enthought / Numpy-Tutorial-SciPyConf-2020
  Numpy-Tutorial-SciPyConf-2020
  ☆29Updated 3 years ago
• jacobtomlinson / dask-video-tutorial
  Dask tutorial material for video tutorial series
  ☆87Updated last year
• 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
• rasbt / stat451-machine-learning-fs21
  ☆150Updated 3 years ago
• engineersCode / EngComp4_landlinear
  Using computational thinking to get deep insights on the foundations of linear algebra
  ☆113Updated last month
• martindurant / dask-tutorial-scipy-2018
  Materials for "Parallelizing Scientific Python with Dask"
  ☆70Updated 6 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
• firasm / jupyterbook_course_template
  Template for Jupyterbook Syllabus
  ☆55Updated last year
• AllenDowney / ComplexityScience
  Repository for a workshop on Complexity Science
  ☆39Updated 3 years ago
• shankarj67 / Awesome-Climate-Change-AI
  A curated list of awesome things related to Climate change and AI.
  ☆50Updated 2 years ago
• voila-dashboards / voila-heroku
  Voilà application deployed on Heroku
  ☆66Updated 3 years ago
• AllenDowney / BayesianInferencePyMC
  Workshop on Bayesian inference using PyMC
  ☆27Updated 3 years ago
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆104Updated 3 years ago
• AllenDowney / SurvivalAnalysisPython
  Explorations of survival analysis in Python
  ☆50Updated 2 years ago
• dask / dask-examples
  Easy-to-run example notebooks for Dask
  ☆378Updated last year
• ericmjl / dl-workshop
  Crash course to master gradient-based machine learning. Also secretly a JAX course in disguise!
  ☆224Updated last year
• AllenDowney / BayesianDecisionAnalysis
  Repository for a workshop on Bayesian Decision Analysis
  ☆70Updated 2 years ago
• dennisbakhuis / Tutorials
  Jupyter Notebooks and other material from tutorial sessions on Machine Learning, Data Science, and related
  ☆56Updated 3 years ago
• Harvard-IACS / 2019-CS109B
  ☆62Updated 6 years ago
• fonnesbeck / Bayes_Computing_Course
  ☆231Updated 3 years ago
• canyon289 / bayesian-model-evaluation
  Presented at Scipy Conference 2019
  ☆126Updated 5 years ago
• fonnesbeck / mcmc_pydata_london_2019
  PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3
  ☆159Updated 5 years ago
• matplotlib / GettingStarted
  Scipy 2019 Tutorial
  ☆35Updated 5 years ago
• cfgranda / math-tools-nyu
  DS-GA 1013 Mathematical Tools for Data Science
  ☆52Updated 4 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 5 months ago
• gbosquechacon / statrethink_course_in_pymc3
  Statistical Rethinking course in pymc3
  ☆143Updated 5 years ago
• pangeo-data / ml-workflow-examples
  Simple examples of data pipelines from xarray to ML training
  ☆22Updated 5 years ago
• numfocus / YouTubeVideoTimestamps
  Adding timestamps to NumFOCUS and PyData YouTube videos!
  ☆93Updated 3 years ago