Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models
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Updated
Oct 13, 2023 - Python
Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models
Model Rocket Simulator oriented to the design and tuning of active control systems, be them in the form of TVC, Active Fin Control or just parachute deployment algorithms on passively stable rockets. It is able to simulate non-linear actuator dynamics and has some limited Software in the Loop capabilities. The program computes all the subsonic a…
A program that allows you to translate neural networks created with Keras to fuzzy logic programs, in order to tune these networks from a given dataset.
MarkMelGen is a Markov Melody Generation program that takes configuration, lyric, and example music files and creates a tune for the supplied words.
Ansible module to tune PostgreSQL configuration by hardware
Bayesian optimization Hyperband tune library template (included example)
Demo for hyperparameter tuning with tune using an DQN example from Udacity for OpenAI gym
A tool for Betaflight or Inav log files to tune PID
Short own implementation of the game snake. In this project I'am using the ray library together with ray tune and a custom PPO model.
The project implements the Snake game as an OpenAI Gym environment. Deep learning is implemented using the RLlib library. A convolutional neural network is used to work with the game frames.
Integration between gin-config and ray tune
Signal processing techniques to find accelerator's tune and test how this tune changes due to some parameters. FFT and NAFF algorithms were used.
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