Alternatives and similar repositories for MachineLearningTheBasics

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

• uu-sml / course-sml-public
  Course material for 1RT700 Statistical Machine Learning
  ☆63Updated 6 months ago
• ivanlen / pipreqsnb
  pipreqs with jupyter notebook support
  ☆70Updated 2 years ago
• hugobowne / deep-learning-from-scratch-pytorch
  Deep Learning from Scratch with PyTorch
  ☆118Updated 5 years ago
• gwthomas / math4ml
  Notes on mathematical topics that pertain to machine learning
  ☆110Updated 3 years ago
• TomasBeuzen / deep-learning-with-pytorch
  Content from the University of British Columbia's Master of Data Science course DSCI 572.
  ☆40Updated 4 years ago
• AllenDowney / BayesianDecisionAnalysis
  Repository for a workshop on Bayesian Decision Analysis
  ☆71Updated 2 years ago
• alexandrahotti / Solutions-to-A-Students-Guide-to-Bayesian-Statistics-by-Ben-Lambert
  My solutions to the assignments in the book: "A Student’s Guide to Bayesian Statistics" by Ben Lambert.
  ☆69Updated last year
• csc-training / intro-to-dl
  Introduction to deep learning
  ☆53Updated 3 months ago
• rasbt / stat451-machine-learning-fs21
  ☆152Updated 3 years ago
• elzurdo / multi_objective_optimisation
  Material for learning and practicing the technique of multi-objective optimisation
  ☆62Updated 10 months ago
• khuyentran1401 / reproducible-data-science
  Tutorials on creating a reproducible and maintainable data science project
  ☆146Updated 3 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
• cliburn / sta-663-2020
  ☆45Updated 5 years ago
• alan-turing-institute / rse-course
  Materials for The Alan Turing Institute's Research Software Engineering course
  ☆253Updated 3 months ago
• fonnesbeck / probabilistic_python
  PyData London 2022 Tutorial
  ☆66Updated 3 years ago
• engineersCode / EngComp4_landlinear
  Using computational thinking to get deep insights on the foundations of linear algebra
  ☆115Updated 3 months ago
• juanitorduz / btsa
  Berlin Time Series Analysis Repository
  ☆100Updated 2 years ago
• eigenfoo / tests-as-linear
  Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.
  ☆94Updated 11 months ago
• smazzanti / are_you_still_using_elbow_method
  ☆150Updated 2 years ago
• amueller / aml
  Applied Machine Learning with Python
  ☆80Updated last year
• AllenDowney / BayesianInferencePyMC
  Workshop on Bayesian inference using PyMC
  ☆27Updated 4 years ago
• DSML-book / Programs
  Programs
  ☆116Updated 8 months ago
• Hadar933 / Deep-Reinforcement-Learning
  DRL university course lecture notes & exercises
  ☆86Updated 2 years ago
• intro-stat-learning / ISLP
  ISLP package: data and code for labs
  ☆152Updated 7 months ago
• JesperDramsch / ml.recipes
  Increase citations, ease review & collaboration A collection of "easy wins" to make machine learning in research reproducible. This tut…
  ☆74Updated 7 months ago
• Bellman281 / Stat4ML
  Statistics and Mathematics for Machine Learning, Deep Learning , Deep NLP
  ☆82Updated 3 years ago
• outerbounds / full-stack-ML-metaflow-tutorial
  It's all in the name
  ☆80Updated 2 years ago
• rsokl / Learning_Python
  Source material for Python Like You Mean it
  ☆173Updated 9 months ago
• mobook / MO-book
  Hands-On Optimization with Python
  ☆215Updated 3 months ago
• neurospin / pystatsml
  Statistics and Machine Learning in Python
  ☆70Updated 4 years ago