bomberland
control-flag
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| bomberland | control-flag | |
|---|---|---|
| 2 | 6 | |
| 100 | 1,238 | |
| 2.0% | 0.3% | |
| 3.1 | 4.4 | |
| 3 months ago | about 2 months ago | |
| C++ | C++ | |
| MIT License | MIT License |
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.
bomberland
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Show HN: Bomberland – An AI competition to build the best Bomberman bot
Thanks for the feedback! We're working on improving the onboarding flow. Sorry about the Docker link issue - it should link you to a copy of the environment binary so that you can play around without Docker (no docs for this workflow just yet unfortunately).
It's essentially a Bomberman-inspired game, where you program the agents to play in it and can play against other users' agents. You can try it out without an account by cloning one of the starter kits here: https://github.com/CoderOneHQ/bomberland and following the usage instructions (but you'll need to create an account to use the visualizer and to submit agents).
We recommend the Docker flow, but if you get stuck feel free to reach out to me (Joy) or @thegalah (Matt) on our Discord: https://discord.gg/NkfgvRN
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Bomberland: a new artificial intelligence competition
We have starter kits in Python and TypeScript to help you get started (and encourage any community contributions to the starter kit repo).
control-flag
- Intel ControlFlag full support for PHP language
- Control flag, AI-Driven Detection Of Bugs, v1.0 Full support for C released
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🔥 Trending Repositories This Week 🔥
Repo Link
- IntelLabs/control-flag: A system to flag anomalous source code expressions by learning typical expressions from training data
- Intel Makes ControlFlag Open-Source for Helping to Detect Bugs in Code
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Intel Open-Sources ‘ControlFlag’, A Machine Learning Based Tool That Can Autonomously Detect Errors In Code
Intel’s principal AI researcher, recently published an article on LinkedIn with the news of the public release of ControlFlag, their machine learning-based software that can detect problems in computer code. The researchers assert it has found hundreds of defects and vulnerabilities throughout production quality apps with no human assistance required.
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