valeman / Awesome_Math_BooksLinks
☆5,147Updated last week
Alternatives and similar repositories for Awesome_Math_Books
Users that are interested in Awesome_Math_Books are comparing it to the libraries listed below
Sorting:
- It is said that, Ilya Sutskever gave John Carmack this reading list of ~ 30 research papers on deep learning.☆1,001Updated last year
- ☆503Updated last month
- A deep-dive on the entire history of deep-learning☆1,418Updated last year
- ML from scratch☆2,429Updated 4 months ago
- learningggggggg 🐳☆557Updated 8 months ago
- Pen and paper exercises in machine learning☆2,522Updated last year
- Probability and Statistics for Data Science: A self-contained introduction to probability and statistics for data science, including a fr…☆540Updated 3 weeks ago
- The simplest, most straightforward way to learn ML for free.☆1,045Updated 3 months ago
- Python interactive dashboards for learning data science☆2,450Updated last month
- Low-Level Programming Roadmap and Resources☆1,276Updated 4 months ago
- ✨ AI/ML & Bio/Medicine Research☆365Updated last week
- This repository contains everything you need to become proficient in Machine Learning☆586Updated last year
- A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, …☆747Updated 2 weeks ago
- A curriculum for learning about foundation models, from scratch to the frontier☆1,412Updated 3 weeks ago
- Awesome LLM Books: Curated list of books on Large Language Models☆1,488Updated last month
- From the Tensor to Stable Diffusion, a rough outline for a 1 week course.☆1,073Updated 2 months ago
- C projects: algorithms, games, and networking☆1,315Updated 3 weeks ago
- ☆270Updated 5 months ago
- This repository contains everything you need to become proficient in ML/AI Research and Research Papers☆598Updated last year
- An educational machine learning library.☆421Updated 5 months ago
- ☆287Updated last month
- Notebooks for the third edition of Think Stats☆760Updated 2 months ago
- A 120-day CUDA learning plan covering daily concepts, exercises, pitfalls, and references (including “Programming Massively Parallel Proc…☆818Updated 8 months ago
- Compendium of free ML reading resources☆472Updated last month
- A comprehensive, curated collection of resources for learning Machine Learning, Deep Learning, and AI☆101Updated 9 months ago
- All Stanford Cheatsheets: Artificial Intelligence, Transformers, LLMs, Deep Learning, Machine Learning, Probabilities, Statistics, Algebr…☆746Updated 2 months ago
- Build real C projects with 18 beginner-friendly challenges. Learn by doing with guided coding exercises and practical applications.☆1,139Updated last week
- Introduction to PyTorch, covering tensor initialization, operations, indexing, and reshaping.☆768Updated 2 months ago
- A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-sou…☆1,098Updated this week
- Dermatology ddx dataset, Jax implementations of Monte Carlo conformal prediction, plausibility regions and statistical annotation aggrega…☆679Updated last year