|over 6 years ago||4 months ago|
|BSD 3-clause "New" or "Revised" License||GNU General Public License v3.0 only|
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
We haven't tracked posts mentioning simple-text-format yet.
Tracking mentions began in Dec 2020.
Looking for help migrating an old example project to stable-baselines3
2 projects | /r/reinforcementlearning | 4 Jul 2023
I've been looking for a good code example that I could dig my teeth into to help me get a better handle on machine learning in python. I eventually ran across this: https://github.com/davidADSP/SIMPLE which is pretty much everything I wanted. The catch is, the project is not being actively maintained and is based around some obsolete libraries. Rather than go back to scouring the web, I decided to be stubborn and migrate the dependencies myself. I forked the repo and started working on the migration here: https://github.com/pbtura/SIMPLE
Show HN: Trickster's Table card game app
3 projects | news.ycombinator.com | 23 Jun 2023
I've been working on the Trickster's Table app for the past six months or so. It's an app written in Dart/Flutter that lets you can play modern trick taking games against AIs trained using reinforcement learning.
The app currently contains implementations of Boast or Nothing, Yokai Septet (2-player), Potato Man, and (on beta channels) Magic Trick. Here's a Geeklist showing other games I'm planning to add: https://boardgamegeek.com/geeklist/226363/tricksters-table-a...
Certain parts of it are open source, including the most recently added game engine for the game Magic Trick by Chris Wray: https://github.com/dbravender/magictrick and the Monte Carlo Tree Search / Neural Network library it uses: https://github.com/dbravender/dartmcts
Currently, for training the AIs I use this PR against SIMPLE so I don't have to write each game in both Dart and Python: https://github.com/davidADSP/SIMPLE/pull/34
I've got a long list of things to fix and try when it comes to training the AIs (including trying integrating with other frameworks to see how well they perform). Is anyone interested in helping to train AIs or implementing new games? I can check with the designers of some of the existing games or future games to see if they are okay with me sharing the source code for their games.
iOS: https://apps.apple.com/us/app/tricksters-table/id1668506875 TestFlight to get the latest games (including Magic Trick): https://testflight.apple.com/join/uuFXY9mw
What are some alternatives?
simple-src-utils - source code utilities, for editor integration
simple-log - Simple logging in Haskell
simple - A minimal Haskell web-framework based on the WAI web server interface.
simple-genetic-algorithm - Simple parallel genetic algorithm implementation in pure Haskell
simple-enumeration - Simple Haskell package for efficiently indexable finite and infinite enumerations.