valeman / Awesome_Math_BooksLinks
☆5,189Updated 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:
- ML from scratch☆2,435Updated 4 months ago
- Low-Level Programming Roadmap and Resources☆1,295Updated 4 months ago
- ☆721Updated 2 months ago
- Probability and Statistics for Data Science: A self-contained introduction to probability and statistics for data science, including a fr…☆546Updated last month
- It is said that, Ilya Sutskever gave John Carmack this reading list of ~ 30 research papers on deep learning.☆1,092Updated last year
- learningggggggg 🐳☆563Updated 9 months ago
- Build real C projects with 18 beginner-friendly challenges. Learn by doing with guided coding exercises and practical applications.☆1,149Updated last month
- From the Tensor to Stable Diffusion, a rough outline for a 1 week course.☆1,074Updated 3 months ago
- C projects: algorithms, games, and networking☆1,344Updated last month
- ☆288Updated 2 months ago
- Pen and paper exercises in machine learning☆2,577Updated last year
- The Art of Problem-Solving in Software Engineering: How to Make MySQL Better☆1,903Updated 5 months ago
- creating a tiny tensor library in raw C☆1,290Updated 10 months ago
- Introduction to PyTorch, covering tensor initialization, operations, indexing, and reshaping.☆773Updated this week
- Machine Learning Journal for Intermediate to Advanced Topics.☆2,261Updated 4 months ago
- The simplest, most straightforward way to learn ML for free.☆1,064Updated 3 months ago
- This repository contains everything you need to become proficient in ML/AI Research and Research Papers☆598Updated last year
- Compendium of free ML reading resources☆477Updated last month
- High performance hybrid classical-quantum computing learning framework written in C☆443Updated 11 months ago
- ✨ AI/ML & Bio/Medicine Research☆379Updated last week
- This repository contains everything you need to become proficient in Machine Learning☆585Updated last year
- Learn AI/ML for beginners with a roadmap and free resources.☆3,964Updated 9 months ago
- An educational machine learning library.☆422Updated 6 months ago
- All Stanford Cheatsheets: Artificial Intelligence, Transformers, LLMs, Deep Learning, Machine Learning, Probabilities, Statistics, Algebr…☆756Updated 3 months ago
- A deep-dive on the entire history of deep-learning☆1,423Updated last year
- ☆270Updated 6 months ago
- Intro to leetcodes. Basic techniques, quicksort and hash structures implementation, space and time complexities.☆97Updated last year
- A curriculum for learning about foundation models, from scratch to the frontier☆1,423Updated last month
- A guide that explains how programs transform from source code to executables. Deep dive into ELF format, linking processes, and binary op…☆348Updated 5 months ago
- Machine Learning in Finance: From Theory to Practice Book☆2,447Updated 5 years ago