fastai / numerical-linear-algebraLinks
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
☆10,623Updated last year
Alternatives and similar repositories for numerical-linear-algebra
Users that are interested in numerical-linear-algebra are comparing it to the libraries listed below
Sorting:
- Minimal and clean examples of machine learning algorithms implementations☆10,918Updated 4 months ago
- The fastai deep learning library☆27,526Updated last month
- Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)☆1,782Updated 5 years ago
- VIP cheatsheets for Stanford's CS 229 Machine Learning☆18,633Updated 5 years ago
- The 3rd edition of course.fast.ai☆4,923Updated last year
- VIP cheatsheets for Stanford's CS 230 Deep Learning☆6,766Updated 5 years ago
- Classical equations and diagrams in machine learning☆7,905Updated last year
- aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-firs…☆28,168Updated last year
- The fastai book, published as Jupyter Notebooks☆23,956Updated last year
- Machine learning glossary☆3,094Updated last year
- A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.☆3,121Updated 3 years ago
- A Code-First Introduction to NLP course☆3,470Updated 2 years ago
- ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.☆25,749Updated 2 years ago
- NYU Deep Learning Spring 2020☆6,775Updated 4 months ago
- The "Python Machine Learning (2nd edition)" book code repository and info resource☆7,191Updated 5 years ago
- Plain python implementations of basic machine learning algorithms☆4,405Updated last year
- Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"☆5,030Updated 2 years ago
- An open-access book on numpy vectorization techniques, Nicolas P. Rougier, 2017☆2,103Updated 5 months ago
- A collection of video resources for machine learning☆1,552Updated 4 years ago
- fast.ai Courses☆5,694Updated last year
- The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.☆1,988Updated last year
- A collection of machine learning examples and tutorials.☆8,721Updated last month
- Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce,…☆28,598Updated last year
- A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.☆6,229Updated 5 years ago
- "Probabilistic Machine Learning" - a book series by Kevin Murphy☆5,375Updated 6 months ago
- The "Python Machine Learning (1st edition)" book code repository and info resource☆12,521Updated 11 months ago
- machine learning and deep learning tutorials, articles and other resources☆17,040Updated last year
- Python Data Science Handbook: full text in Jupyter Notebooks☆45,765Updated last year
- A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dm…☆9,598Updated 2 years ago
- VIP cheatsheets for Stanford's CS 221 Artificial Intelligence☆2,826Updated 5 years ago