aimacode / aima-pythonLinks
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
☆8,508Updated 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☆1,004Updated last year
- Pseudocode descriptions of the algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"☆899Updated 5 years ago
- Java implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"☆1,597Updated last year
- Data files to accompany the algorithms from Norvig And Russell's "Artificial Intelligence - A Modern Approach"☆278Updated 5 years ago
- Javascript visualization of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"☆558Updated 6 years ago
- Machine learning glossary☆3,093Updated last year
- Repo for the Deep Learning Nanodegree Foundations program.☆4,052Updated 2 years ago
- Oxford Deep NLP 2017 course☆15,861Updated 2 years ago
- Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101☆5,431Updated 2 years ago
- ☆97Updated 5 years ago
- Efficiently computes derivatives of NumPy code.☆7,358Updated last week
- A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.☆3,115Updated 3 years ago
- Course notes for CS228: Probabilistic Graphical Models.☆1,972Updated 3 months ago
- Exercises for the Deep Learning textbook at www.deeplearningbook.org☆1,388Updated 3 years ago
- VIP cheatsheets for Stanford's CS 230 Deep Learning☆6,745Updated 5 years ago
- Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"☆2,811Updated 5 years ago
- A Course in Machine Learning☆902Updated 2 years ago
- Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.☆3,193Updated 5 years ago
- Tutorial material on the scientific Python ecosystem☆3,161Updated last month
- Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)☆1,782Updated 5 years ago
- A collection of video resources for machine learning☆1,552Updated 4 years ago
- Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course☆10,610Updated last year
- Code companion to the O'Reilly "Fundamentals of Deep Learning" book☆661Updated 2 years ago
- A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dm…☆9,588Updated 2 years ago
- Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lect…☆12,687Updated 11 months ago
- Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris☆1,458Updated last year
- Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"☆5,029Updated 2 years ago
- A living collection of deep learning problems☆1,720Updated last year
- Solutions of the exercises and problems from Michael Nielsen's book Neural Networks and Deep Learning: http://neuralnetworksanddeeplearni…☆170Updated 4 years ago
- This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.☆10,371Updated 4 years ago