Skip to main content

No project description provided

Project description

Artificial Intelligence for Games and Simulations

In this course we use Python 3.11. Running pip install aigs in a clean Python 3.11 virtual environment should install all dependencies. We are assuming that you have a basic understanding of Python and programming.

/labs (under active development)

labs/ contains exercises for the course, which you should do. Being able to do the contents of labs/ is a prerequisite for being able making a successful final project.

I recommend cloning this repository, and making a folder my/ where you can put your own code (I will be updating this repository).

  1. Lab 1: Math
  2. Lab 2: Neural networks
  3. Lab 3: Evolutionary computation
  4. Lab 4: Deep learning
  5. Lab 5: Reinforcement learning

/prjs (under active development)

There are three mandatory projects in this course. They are all under /prjs and are not yet completed. Won't make much sense to look at them until they are completed, as major parts will be changed and added.

read

backprob

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

aigs-0.0.5.tar.gz (1.8 kB view details)

Uploaded Source

Built Distribution

aigs-0.0.5-py3-none-any.whl (1.9 kB view details)

Uploaded Python 3

File details

Details for the file aigs-0.0.5.tar.gz.

File metadata

  • Download URL: aigs-0.0.5.tar.gz
  • Upload date:
  • Size: 1.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.12.5 Darwin/24.0.0

File hashes

Hashes for aigs-0.0.5.tar.gz
Algorithm Hash digest
SHA256 8cd000bb8495bcb1b2472c2d26a1332199795b52c53f655cdc54fd0edf2b5c46
MD5 9ad04a551ba2f241778213e26ce80d38
BLAKE2b-256 3a3dd8db4bfcd866bd93b934b5957ceb402e43147d16c4bb075de8306c38d0e5

See more details on using hashes here.

File details

Details for the file aigs-0.0.5-py3-none-any.whl.

File metadata

  • Download URL: aigs-0.0.5-py3-none-any.whl
  • Upload date:
  • Size: 1.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.12.5 Darwin/24.0.0

File hashes

Hashes for aigs-0.0.5-py3-none-any.whl
Algorithm Hash digest
SHA256 64e065a2c19fb2d21dc7804819e21a448221a01b36f22932be0fff655e498ecb
MD5 ae7fe959191a65e17e3841ac489f3c94
BLAKE2b-256 117a670a51fdc34b4023d56052a78b9d3af8727ad0d0d1726f2983505f67ed4b

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page