└── README.md /README.md: -------------------------------------------------------------------------------- 1 | # GSoC Ideas List: `aimacode` 2 | 3 | # (Note: `aimacode` is not participating in GSOC for 2020) 4 | 5 | In the past, the aimacode project has enjoyed the support of the Google 6 | Summer of Code. We may do so again in 2021. We had a few student interns help write code. Here are some of the requirements and project ideas from past years: 7 | 8 | 18 | 19 | 20 |

Project Ideas

21 | 22 |

(1) Exercises Website

23 | 24 | Unlike the previous editions, the upcoming 4th edition of Artificial Intelligence: A Modern Approach will not have 26 | exercises in the book; they will be online only. We need help in launching a website for the 27 | exercises, and in developing some new exercises and answers. Last year we got a good start on the 28 | project; this year we need to finish the interface, refine the mechanism for showing answers and 29 | hints, test it, and do performance load measurements to make sure it will hold up under load. 30 | Skills: testing, user interface design. 31 | Possible mentors: Nalin Chhibber 32 | 33 |

(2) Java Algorithms

34 | 35 | Finish implementing all the pseudocode algorithms in the book in Java. A majority of the algorithms 36 | from the 3rd edition are done, but there are some new ones in the upcoming 4th edition, as 37 | described in the aima-pseudocode 38 | project. Make sure the code follows the pseudocode well, and also shows good style. Also, provide 39 | examples of usage, documentation, and thorough test cases. 40 | Skills: Java programming, documentation. 41 | Possible mentors: Peter Norvig 42 | 43 |

(3) Python Algorithms

44 | 45 | Finish implementing all the pseudocode algorithms in the book in Python. Almost all of the 46 | algorithms from the 3rd edition are done, but there are some new ones in the upcoming 4th edition, 47 | as described in the aima-pseudocode project. Make sure 49 | the code follows the pseudocode well, and also shows good style. Also, provide examples of usage, 50 | documentation, and thorough test cases. 51 | Skills: Python programming, documentation. 52 | Possible mentors: Pierre de Lacaze 53 | 54 |

(4) Example Notebooks

55 | 56 | Using Jupyter/IPython or similar mechanisms, develop example worked projects that demonstrate the use of the algorithms from (2) and (3) above to solve interesting problems. Examples could include game playing, natural language processing, machine learning, and other topics, depending on your interest. 57 | Skills: Python programming, writing clearly. 58 | Possible mentors: Pierre de Lacaze 59 | 60 |

(5) Container Notebooks

61 | 62 | Continuing the theme from (4) above, but demonstrating how to load an existing third-party open 63 | source framework, such as TensorFlow, Theano, Caffe, Keras, Torch, Stanford CoreNLP, NLTK, Sci-kit Learn, or Spark. Create a container (Docker or Kubernetes) that has all the dependencies, and a notebook and documentation that shows how to use it to solve an interesting real-world problem or set of problems. 64 | Skills: familiarity with containers, attention to detail, good at explanations. 65 | Possible mentors: Peter Norvig 66 | 67 |

(6) Javascript Gridworld

68 | 69 | We have code for agents learning, searching, and acting in a grid layout. We need better visualizations of that it Javascript. Make it possible for students to examine existing problems and see what is going on through a simulation of the world, and visualization of various key metrics. Make it easy to define a new world, or to define a new agent function and run it within the world. 70 | Skills: User interface design, Javascript programming. 71 | Possible mentors: Sam Goto 72 | 73 |

GSoC Application Process

74 | 75 | If you'd like to help, you can apply to GSoC. 76 |

77 | See: 78 |

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