ruby-fann
lab
| ruby-fann | lab | |
|---|---|---|
| 1 | 4 | |
| 489 | 7,002 | |
| 2.9% | 0.0% | |
| 6.0 | 0.0 | |
| about 1 month ago | over 1 year ago | |
| C | C | |
| MIT License | GNU General Public License v3.0 or later |
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.
ruby-fann
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Monitor Ruby Application Performance with Magic Dashboards
The above example application uses a simple neural network implemented using the Ruby FANN gem to predict the next day's Bitcoin price. Percentage price changes from the last ten days are used as inputs to the model.
lab
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Shimmy 1.0: Gymnasium & PettingZoo bindings for popular external RL environments
This includes single-agent Gymnasium wrappers for DM Control, DM Lab, Behavior Suite, Arcade Learning Environment, OpenAI Gym V21 & V26. Multi-agent PettingZoo wrappers support DM Control Soccer, OpenSpiel and Melting Pot. For more information, read the release notes here:
- Environments that require long-term memory and reasoning
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Keys doors puzzle in dmlab30
dmlab30 is a test suite of 30 environments for Deep RL research, maintained by DeepMind. https://github.com/deepmind/lab/tree/master/game_scripts/levels/contributed/dmlab30#readme
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[R] Would DeepMind Control Suite be enough for a publication?
DeepMind Lab is also interesting: https://deepmind.com/blog/article/open-sourcing-deepmind-lab https://github.com/deepmind/lab
What are some alternatives?
AI4R - Artificial Intelligence for Ruby - A Ruby playground for AI researchers
dm_control - Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
Ruby Units - A unit handling library for ruby
PHP IDS - PHPIDS (PHP-Intrusion Detection System) is a simple to use, well structured, fast and state-of-the-art security layer for your PHP based web application
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.
gym - A toolkit for developing and comparing reinforcement learning algorithms.
bhook - :fire: ByteHook is an Android PLT hook library which supports armeabi-v7a, arm64-v8a, x86 and x86_64.
CCV - C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library
XNNPACK - High-efficiency floating-point neural network inference operators for mobile, server, and Web
dm_memorytasks - A set of 13 diverse machine-learning tasks that require memory to solve.
TrainInvaders - 👾 Jupyter Notebook + Space Invaders!?
PettingZoo - An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities