rasbt / python-machine-learning-book-2nd-editionLinks
The "Python Machine Learning (2nd edition)" book code repository and info resource
☆7,178Updated 4 years ago
Alternatives and similar repositories for python-machine-learning-book-2nd-edition
Users that are interested in python-machine-learning-book-2nd-edition are comparing it to the libraries listed below
Sorting:
- Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"☆2,799Updated 4 years ago
- The "Python Machine Learning (3rd edition)" book code repository☆4,845Updated 2 years ago
- Jupyter notebooks for the code samples of the book "Deep Learning with Python"☆19,321Updated last month
- The "Python Machine Learning (1st edition)" book code repository and info resource☆12,453Updated 7 months ago
- Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)☆1,785Updated 5 years ago
- ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.☆25,497Updated last year
- The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.☆1,955Updated last year
- Plain python implementations of basic machine learning algorithms☆4,385Updated last year
- this repository accompanies the book "Grokking Deep Learning"☆7,602Updated last year
- Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course☆1,921Updated 2 years ago
- Materials for my scikit-learn tutorial☆1,794Updated 2 years ago
- Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveragi…☆2,337Updated last year
- A collection of various deep learning architectures, models, and tips☆17,111Updated last year
- VIP cheatsheets for Stanford's CS 229 Machine Learning☆18,318Updated 5 years ago
- Code for Tensorflow Machine Learning Cookbook☆6,264Updated last year
- Notebooks and code for the book "Introduction to Machine Learning with Python"☆7,771Updated last year
- The 3rd edition of course.fast.ai☆4,918Updated last year
- Jupyter notebooks from the scikit-learn video series☆3,727Updated last year
- Machine learning glossary☆3,077Updated 11 months ago
- A collection of IPython notebooks covering various topics.☆2,612Updated 4 years ago
- A 5-pages only Machine Learning cheatsheet focusing on the most popular algorithms under the hood☆1,437Updated 7 years ago
- Tutorials, assignments, and competitions for MIT Deep Learning related courses.☆10,324Updated last year
- Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lect…☆12,608Updated 8 months ago
- Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. …☆26,527Updated last year
- Introduction to Deep Neural Networks with Keras and Tensorflow☆2,962Updated last year
- Top 200 deep learning Github repositories sorted by the number of stars.☆1,716Updated last year
- Tutorial material on the scientific Python ecosystem☆3,151Updated last week
- Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library☆3,257Updated last year
- Book about interpretable machine learning☆5,016Updated 3 months ago
- A collection of various notebook extensions for Jupyter☆5,272Updated last year