aimacode / aima-pythonLinks
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
☆8,463Updated last year
Alternatives and similar repositories for aima-python
Users that are interested in aima-python are comparing it to the libraries listed below
Sorting:
- Exercises for the book Artificial Intelligence: A Modern Approach☆998Updated last year
- Pseudocode descriptions of the algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"☆898Updated 5 years ago
- Data files to accompany the algorithms from Norvig And Russell's "Artificial Intelligence - A Modern Approach"☆279Updated 5 years ago
- Java implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"☆1,596Updated last year
- Javascript visualization of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"☆555Updated 6 years ago
- ☆99Updated 4 years ago
- Play with neural networks!☆12,531Updated 3 weeks ago
- Python Implementation of Reinforcement Learning: An Introduction☆14,279Updated last year
- Repo for the Deep Learning Nanodegree Foundations program.☆4,050Updated last year
- ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.☆25,620Updated last year
- A flexible framework of neural networks for deep learning☆5,911Updated 2 years ago
- Course notes for CS228: Probabilistic Graphical Models.☆1,969Updated 2 months ago
- Web interface for browsing, search and filtering recent arxiv submissions☆5,385Updated 3 years ago
- Exercises for the Deep Learning textbook at www.deeplearningbook.org☆1,381Updated 3 years ago
- Reinforcement learning resources curated☆9,284Updated 2 years ago
- Efficiently computes derivatives of NumPy code.☆7,347Updated last week
- ☆465Updated last year
- Tutorials, assignments, and competitions for MIT Deep Learning related courses.☆10,358Updated last year
- Topic Modelling for Humans☆16,175Updated last month
- Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"☆2,805Updated 4 years ago
- Python code for "Probabilistic Machine learning" book by Kevin Murphy☆6,883Updated 9 months ago
- VIP cheatsheets for Stanford's CS 229 Machine Learning☆18,509Updated 5 years ago
- Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning☆4,363Updated 5 years ago
- Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course☆10,587Updated last year
- Learn to make machines learn so that you don't have to struggle to program them; The ultimate list☆1,103Updated last year
- Jupyter notebooks from the scikit-learn video series☆3,738Updated last year
- Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning☆1,544Updated 2 years ago
- A Course in Machine Learning☆901Updated 2 years ago
- Lab Materials for MIT 6.S191: Introduction to Deep Learning☆8,121Updated 8 months ago
- The "Python Machine Learning (1st edition)" book code repository and info resource☆12,496Updated 9 months ago