joeldg / Deep-learning-books
Books for machine learning, deep learning, math, NLP, CV, RL, etc
☆254Updated 3 years ago
Alternatives and similar repositories for Deep-learning-books:
Users that are interested in Deep-learning-books are comparing it to the libraries listed below
- Data Science, Machine Learning, Deep Learning, NLP, Python & Library's cheat Sheet - Interview Questions & Notes☆62Updated 4 years ago
- Books for machine learning, deep learning, math, NLP, CV, RL, etc. 一些机器学习、深度学习等相关话题的书籍。☆248Updated 5 years ago
- 涉及机器学习中深度学习、强化学习、监督学习、集成学习相关的pdf书籍及其个人的阅读笔记☆155Updated 6 years ago
- My solutions to DLFC - Deep Learning: Foundations and Concepts☆70Updated this week
- Machine learning and deep learning resources☆525Updated last week
- Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques t…☆919Updated 11 months ago
- Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning☆1,393Updated last year
- A collection of take home data science challenges practice☆16Updated 6 years ago
- Gathered multiple pdfs regarding interview questions on machine learning and deep learning☆55Updated 5 years ago
- ☆802Updated 6 years ago
- .pdf Format Books for Machine and Deep Learning☆227Updated 6 years ago
- The "LLM Projects Archive" is a centralized GitHub repository, offering a diverse collection of Language Model Models projects. A valuabl…☆54Updated last month
- "If your experiment needs a statistician, you need a better experiment." ― Ernest Rutherford☆140Updated 5 years ago
- Projects and useful articles / links☆405Updated 4 months ago
- Notes & Code to go over "Grokking Deep Learning" Book by Andrew Trask☆39Updated last year
- These are Some useful ebook☆187Updated 2 years ago
- Greetings! 👋 I'm Loga Aswin, diving into a 100-day data science immersion from Python fundamentals to real-world applications. This spac…☆204Updated 9 months ago
- Python Data Analysis, Third Edition, Published by Packt☆205Updated 2 years ago
- A comprehensive exploration of Statistics and Probability Theory concepts, with practical implementations in Python☆139Updated 2 weeks ago
- My solutions to Stanford CS221 (Artificial Intelligence) homework code problems☆27Updated 4 years ago
- All lecture notes, slides and assignments for CS230 course by Stanford University.☆58Updated 4 years ago
- ☆72Updated 6 years ago
- Deep Learning with TensorFlow and Keras – 3rd edition, Published by Packt☆196Updated last year
- The offical notes of Andrew Ng Machine Learning in Stanford University☆287Updated 3 years ago
- A curated collection of free Machine Learning related eBooks☆104Updated 6 years ago
- Notes for the course Generative AI With Large Language Models, offered by DeepLearning.AI on Coursera☆57Updated last year
- Python Machine Learning By Example Third Edition, published by Packt☆184Updated 2 years ago
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆269Updated 4 years ago
- Projects and awesome list for all Data Science fields☆383Updated 4 months ago
- This is a repository for notes and codes of reading the book --- Jason Brownlee Master Machine Learning Algorithms☆60Updated 5 years ago