bomberland
iNeural
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| bomberland | iNeural | |
|---|---|---|
| 2 | 4 | |
| 100 | 5 | |
| 2.0% | - | |
| 3.1 | 0.0 | |
| 3 months ago | over 1 year ago | |
| C++ | C++ | |
| MIT License | GNU Affero General Public License v3.0 |
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).
iNeural
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[Hobby] I Need a Friendly Team. Your Experience Doesn't Matter!
iNeural (Creating Artificial Neural Networks) : https://github.com/fkkarakurt/iNeural
- iNeural
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iNeural : Update (8.12.21)
git clone https://github.com/fkkarakurt/iNeural.git
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iNeural : A library for creating Artificial Neural Networks
I have passed the first stage of this artificial neural network library, where I use the Eigen 3 library extensively. I continue to develop the project. You can check it out on my GitHub account.
What are some alternatives?
q-learning-algorithms - This repository will aim to provide implementations of q-learning algorithms (DQN, Double-DQN, ...) using Pytorch.
GPBoost - Combining tree-boosting with Gaussian process and mixed effects models
control-flag - A system to flag anomalous source code expressions by learning typical expressions from training data
fann - Official github repository for Fast Artificial Neural Network Library (FANN)
ultimate-volleyball - 3D RL Volleyball environment built on Unity ML-Agents
command - Command, ::process::Command like syscalls in C++.
solve_the_spire - An AI to play the video game Slay the Spire
Seayon - Open source Neural Network library in C++
loneliless - A Deep-Q Network playing a single player Pong game. Network done in Python (Tensorflow-gpu) with the single player Pong game implemented in C++ (Openframeworks) and both binded with Pybind11.
Nerve - This is a basic implementation of a neural network for use in C and C++ programs. It is intended for use in applications that just happen to need a simple neural network and do not want to use needlessly complex neural network libraries.
PythonMonkey - A Mozilla SpiderMonkey JavaScript engine embedded into the Python VM, using the Python engine to provide the JS host environment.
armnn - Arm NN ML Software. The code here is a read-only mirror of https://review.mlplatform.org/admin/repos/ml/armnn