rasbt / machine-learning-notes
Collection of useful machine learning codes and snippets (originally intended for my personal use)
β805Updated 10 months ago
Alternatives and similar repositories for machine-learning-notes:
Users that are interested in machine-learning-notes are comparing it to the libraries listed below
- π§ A study guide to learn about Transformersβ1,558Updated last year
- Deep Learning Fundamentals -- Code material and exercisesβ367Updated 11 months ago
- Kaggle Pipeline for tabular data competitionsβ204Updated 7 months ago
- β598Updated last year
- β146Updated 3 years ago
- β278Updated last year
- STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2021)β482Updated 3 years ago
- Lightning Bits: Engineering for Researchers repoβ132Updated 2 years ago
- Lectures for INFO8010 Deep Learning, ULiΓ¨geβ1,229Updated last week
- Machine Learning Q and AI bookβ373Updated 4 months ago
- My small cheatsheets for data science, ML, computer science and more.β1,635Updated 2 years ago
- Probabilistic Machine Learning: Advanced Topicsβ1,432Updated 2 months ago
- Pen and paper exercises in machine learningβ1,959Updated 8 months ago
- 100 exercises to learn JAXβ575Updated 2 years ago
- Applied Machine Learning Explainability Techniques, published by Packtβ239Updated last year
- Software Architecture for ML engineersβ395Updated 2 years ago
- NYU Deep Learning Spring 2021β1,594Updated 5 months ago
- A curated list of awesome fastai projects/blog posts/tutorials/etc.β167Updated 3 years ago
- Errata and code for Effective Pandas bookβ362Updated 2 years ago
- All about the fundamental blocks of TF and JAX!β274Updated 3 years ago
- π€ A PyTorch library of curated Transformer models and their composable componentsβ878Updated 10 months ago
- Interpretable Machine Learning with Python, published by Packtβ451Updated last year
- Python Feature Engineering Cookbook, published by Packtβ472Updated 2 years ago