✨ Machine Learning Resources ✨
Machine learning resources. This org exists to clean up the repos I have listed on my public profile.
Pinned Repositories
course-starter-python
👩🏫🐍 Starter repo for building interactive Python courses
d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
ila
Interactive Linear Algebra
interpretable-ml-book
Book about interpretable machine learning
oh-my-git
An interactive Git learning game!
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
pytrends
Pseudo API for Google Trends
starter-workflows
Accelerating new GitHub Actions workflows
tests-as-linear
Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.
✨ Machine Learning Resources ✨'s Repositories
refs-and-resources/interpretable-ml-book
Book about interpretable machine learning
refs-and-resources/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
refs-and-resources/skample
Sample data from sketches
refs-and-resources/bayesian-stats-modelling-tutorial
How to do Bayesian statistical modelling using numpy and PyMC3
refs-and-resources/cml
♾️ CML - Continuous Machine Learning | CI/CD for ML
refs-and-resources/cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
refs-and-resources/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.
refs-and-resources/Data-Science-Resources
Data Science related resources and cheatsheets
refs-and-resources/ila
Interactive Linear Algebra
refs-and-resources/mlops-course
A project-based course on the foundations of MLOps with a focus on intuition and application.
refs-and-resources/mlops-zoomcamp
Free MLOps course from DataTalks.Club
refs-and-resources/oh-my-git
An interactive Git learning game!
refs-and-resources/project-based-learning
Curated list of project-based tutorials
refs-and-resources/python-fire
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
refs-and-resources/python_devops_book
[Book-2020] Python For DevOps: Learn Ruthlessly Effective Automation
refs-and-resources/pytrends
Pseudo API for Google Trends
refs-and-resources/starter-workflows
Accelerating new GitHub Actions workflows
refs-and-resources/tests-as-linear
Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.
refs-and-resources/awesome-interactive-math
A curated list of tools that can be used for creating interactive mathematical explorables.
refs-and-resources/aws-mlu-explain
Visual, Interactive Articles About Machine Learning: https://mlu-explain.github.io/
refs-and-resources/data-engineering-zoomcamp
Free Data Engineering course!
refs-and-resources/ganlab
GAN Lab: An Interactive, Visual Experimentation Tool for Generative Adversarial Networks
refs-and-resources/gradio
Create UIs for your machine learning model in Python in 3 minutes
refs-and-resources/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
refs-and-resources/interactive-machine-learning-list
A collaborative list of interactive Machine Learning, Deep Learning and Statistics websites
refs-and-resources/learnGitBranching
An interactive git visualization and tutorial. Aspiring students of git can use this app to educate and challenge themselves towards mastery of git!
refs-and-resources/lecture-python.notebooks
Notebooks for https://python.quantecon.org
refs-and-resources/sql-masterclass
refs-and-resources/ThinkStats2
Text and supporting code for Think Stats, 2nd Edition
refs-and-resources/wordsandbuttons
A growing collection of interactive tutorials, demos, and quizzes about maths, algorithms, and programming.