rasbt / machine-learning-notesLinks
Collection of useful machine learning codes and snippets (originally intended for my personal use)
β833Updated last year
Alternatives and similar repositories for machine-learning-notes
Users that are interested in machine-learning-notes are comparing it to the libraries listed below
Sorting:
- Deep Learning Fundamentals -- Code material and exercisesβ397Updated last year
- π§ A study guide to learn about Transformersβ1,619Updated 2 years ago
- β602Updated 2 years ago
- β151Updated 3 years ago
- Lab assignments for Introduction to Data-Centric AI, MIT IAP 2024 π©π½βπ»β476Updated 9 months ago
- β292Updated 2 years ago
- Compilation of high-profile real-world examples of failed machine learning projectsβ744Updated last year
- A curated list of awesome fastai projects/blog posts/tutorials/etc.β173Updated 3 years ago
- Course notes for MSDS621 at Univ of San Francisco, introduction to machine learningβ346Updated 4 years ago
- Educational materials on deep learning by Weights & Biasesβ644Updated 10 months ago
- Kaggle Pipeline for tabular data competitionsβ205Updated last year
- STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2021)β526Updated 3 years ago
- Software Architecture for ML engineersβ417Updated 3 years ago
- Set up your local environment to do some real Machine Learning Operations software development, just like pro MLOps practitioners.β241Updated 2 years ago
- Host repository for the "Reproducible Deep Learning" PhD courseβ407Updated 3 years ago
- Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-β¦β483Updated last year
- Machine Learning for Imbalanced Data, published by Packtβ277Updated 3 weeks ago
- Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.β1,188Updated 2 years ago
- Lightning Bits: Engineering for Researchers repoβ132Updated 3 years ago
- Original transformer paper: Implementation of Vaswani, Ashish, et al. "Attention is all you need." Advances in neural information processβ¦β241Updated last year
- A book of subtle code tricks and gem resources for all things data, machine learning and deep learning.β169Updated last year
- Interpretable Machine Learning with Python, published by Packtβ475Updated 3 weeks ago
- GitHub Repo with various ML/AI/DS resources that I find usefulβ465Updated last year
- Tutorial Materials for "The Fundamentals of Modern Deep Learning with PyTorch" workshop at PyCon 2024β248Updated last year
- Free course that takes you from zero to Reinforcement Learning PRO π¦Έπ»βπ¦Έπ½β1,316Updated last year
- Teaching materials for the applied machine learning course at Cornell Tech (online edition)β1,170Updated 3 years ago
- Revisions and implementations of modern Convolutional Neural Networks architectures in TensorFlow and Kerasβ354Updated 3 years ago
- β93Updated 2 years ago
- Serverless Machine Learning Course for building AI-enabled Prediction Services from models and featuresβ676Updated last year
- Official Repo for the Efficient Python for Data Scientists Book. You can buy the book from here:β575Updated 10 months ago