Alternatives and similar repositories for ml-blogs:

Users that are interested in ml-blogs are comparing it to the libraries listed below

• donlapark / coverforest
  A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.
  ☆42Updated last month
• MatejFrnka / ScalableML-project
  ☆108Updated 2 years ago
• ysraell / forecasting
  Forecasting: Principles and Practice
  ☆59Updated 3 years ago
• mattharrison / sample_nb_code_project
  An example of a project for doing data work in Python using notebooks but also placing code in Python files and testing them
  ☆99Updated last year
• dobriban / stat-ml-edu
  Resources for education in statistics and machine learning: from advanced undergraduate to research level
  ☆90Updated 10 months ago
• probabl-ai / youtube-appendix
  Resources for some of our education content
  ☆39Updated 2 months ago
• mlabonne / linear-programming-course
  Hands-on course about linear programming and mathematical optimization.
  ☆97Updated last year
• Carl-McBride-Ellis / TOBoML
  The Orange Book of Machine Learning
  ☆39Updated 2 weeks ago
• mpalenciaolivar / Awesome-Decision-Science
  Une liste de ressources sur tout ce qui touche à la prise de décision : vidéos, tutoriels, livres, documents, thèses, articles, datasets …
  ☆9Updated 7 months ago
• AllenDowney / ThinkStats
  Notebooks for the third edition of Think Stats
  ☆135Updated this week
• RamiKrispin / pydata-ny-ga-workshop
  Materials for the Deploy and Monitor ML Pipelines with Python, Docker and GitHub Actions workshop at the PyData NYC 2024 conference
  ☆80Updated this week
• mattharrison / effective_polars_book
  Code and materials for Effective Polars book
  ☆76Updated 11 months ago
• mattharrison / effective_xgboost_book
  ☆278Updated last year
• AllenDowney / BayesianDecisionAnalysis
  Repository for a workshop on Bayesian Decision Analysis
  ☆68Updated 2 years ago
• valeman / smote_is_what_you_dont_need
  The best repository showing why SMOTE and resampling methods might not be the answer for imbalanced data problems
  ☆37Updated 3 weeks ago
• santiviquez / ageml
  Study the temporal performance degradation of machine learning models.
  ☆16Updated last year
• modeva-ai / Modeva
  Integrated tool for model development and validation
  ☆22Updated this week
• init27 / Deep-Learning-Book-Supplementary-Materials
  Supplementary Materials for the Deep Learning Book by Ian Goodfellow et al
  ☆53Updated 2 years ago
• fifthist / Introduction-To-Probability-Blitzstein-Solutions
  Unofficial solutions for Introduction to Probability, Second Edition by Joseph Blitzstein and Jessica Hwang.
  ☆104Updated last week
• JUSTSUJAY / ML-Research-Papers
  ☆103Updated 7 months ago
• HHU-MMBS / RepresentationLearning_SS2023
  Representation Learning MSc course Summer Semester 2023
  ☆75Updated last year
• moe18 / DeepMLeet
  ☆58Updated 8 months ago
• joneswack / conformal-predictions-from-scratch
  Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.
  ☆208Updated last year
• BexTuychiev / tricking-data-science
  A book of subtle code tricks and gem resources for all things data, machine learning and deep learning.
  ☆165Updated 6 months ago
• WesleyPasfield / paper-newsletter
  ☆26Updated 2 weeks ago
• Paulescu / real-time-ohlc-with-bytewax
  Fetch, transform and plot real-time OHLC data from Coinbase using Bytewax, Bokeh and Streamlit
  ☆127Updated 11 months ago
• Paulescu / build-and-deploy-real-time-feature-pipeline
  Develop and deploy a real-time feature pipeline in Python, using Bytewax 🐝 and Hopsworks Feature Store.
  ☆134Updated last year
• RamiKrispin / vscode-python-uv-template
  A Python Environment Template for VScode with UV
  ☆56Updated 2 months ago
• RamiKrispin / Introduction-to-Docker
  (WIP) Getting started with Docker - An introduction to Docker with data science and engineering applications
  ☆129Updated last year
• melling / ISLR
  Introduction to Statistical Learning
  ☆59Updated 4 years ago