Alternatives and similar repositories for notes

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

• dmarx / anthology-of-modern-ml
  Collection of important articles to be treated as a textbook
  ☆849Updated 5 months ago
• Gclabbe / ut-msaio
  Publicly shareable content about the University of Texas MSAIO program
  ☆20Updated 7 months ago
• jacobhilton / deep_learning_curriculum
  Language model alignment-focused deep learning curriculum
  ☆1,531Updated last year
• gmberton / awesome-machine-learning-startups
  List of startups doing AI & ML
  ☆407Updated this week
• dair-ai / Transformers-Recipe
  🧠 A study guide to learn about Transformers
  ☆1,628Updated 2 years ago
• michaelgutmann / ml-pen-and-paper-exercises
  Pen and paper exercises in machine learning
  ☆2,577Updated last year
• huggingface / computer-vision-course
  This repo is the homebase of a community driven course on Computer Vision with Neural Networks. Feel free to join us on the Hugging Face …
  ☆778Updated 3 weeks ago
• TidorP / MLJobSearch2025
  ML Companies Tier List and Interview Questions
  ☆268Updated 6 months ago
• callummcdougall / ARENA_3.0
  ☆916Updated 2 weeks ago
• RoundtableML / ML-Fundamentals-Reading-Lists
  ☆132Updated 2 years ago
• JUSTSUJAY / ML-Research-Papers
  ☆107Updated last year
• Arunprakash-A / Modern-NLP-with-Hugging-Face
  Notebooks for the DLP course by Prof.Mitesh Khapra and me, offered to IITM BS Students.
  ☆19Updated 8 months ago
• tanishqkumar / beyond-nanogpt
  Minimal and annotated implementations of key ideas from modern deep learning research.
  ☆1,228Updated last week
• SkalskiP / vlms-zero-to-hero
  This series will take you on a journey from the fundamentals of NLP and Computer Vision to the cutting edge of Vision-Language Models.
  ☆1,154Updated last year
• chiphuyen / dmls-book
  Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)
  ☆4,333Updated 3 months ago
• dzyim / ilya-sutskever-recommended-reading
  It is said that, Ilya Sutskever gave John Carmack this reading list of ~ 30 research papers on deep learning.
  ☆1,350Updated last year
• Infatoshi / cuda-course
  ☆3,019Updated this week
• kuleshov / cornell-cs5785-2025-applied-ml
  Lecture materials for Cornell CS5785 Applied Machine Learning (Fall 2024)
  ☆525Updated 2 months ago
• iacopomasi / AI-ML-Unit-2
  Course Material for Artificial Intelligence and Machine Learning - Unit 2 @ Computer Science Dept, Sapienza
  ☆41Updated 8 months ago
• OlimpiadaAI / I-OlimpiadaAI
  ☆139Updated last year
• Paulescu / hands-on-rl
  Free course that takes you from zero to Reinforcement Learning PRO 🦸🏻‍🦸🏽
  ☆1,473Updated last year
• hazratali / awesome-ai-summerschool
  A list of summer schools on Artificial Intelligence, Machine Learning, and Healthcare
  ☆469Updated this week
• afshinea / stanford-cme-295-transformers-large-language-models
  VIP cheatsheet for Stanford's CME 295 Transformers and Large Language Models
  ☆3,981Updated 6 months ago
• Open-Deep-ML / DML-OpenProblem
  ☆598Updated 2 months ago
• shaily99 / advice
  A repository of links with advice related to grad school applications, research, phd etc
  ☆2,413Updated 2 years ago
• daturkel / learning-papers
  Landmark Papers in Machine Learning
  ☆702Updated 5 months ago
• graviraja / MLOps-Basics
  ☆8,561Updated last year
• x-jeff / DeepLearning_Code_Demo
  📝the assignment of Andrew Ng's deep learning courses in Coursera
  ☆30Updated last year
• AssemblyAI-Community / Machine-Learning-From-Scratch
  Implementation of popular ML algorithms from scratch
  ☆945Updated 2 years ago
• kuleshov / cornell-cs5785-2020-applied-ml
  Teaching materials for the applied machine learning course at Cornell Tech (online edition)
  ☆1,172Updated 3 years ago