zoofs
RocketLander
| zoofs | RocketLander | |
|---|---|---|
| 4 | 1 | |
| 236 | 1 | |
| - | - | |
| 0.0 | 1.7 | |
| 5 months ago | about 1 year ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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zoofs
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[D] Feature engineering automation?
and as u described considering you will end up with a lot of features. https://github.com/jaswinder9051998/zoofs for feature selection. Zoofs is a wrapper based feature selection, so you'll be able select feature-based purely on performance if u have a healthy test set or if u perform cross-validation
- [P] Feature Selection for tabular data (Zoofs, python package)
- Zoofs, a feature selection Library
- Zoofs , nature inspired wrapper algorithms
RocketLander
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[P] Autonomous Landing of a Rocket Booster with Machine Learning
You can find the project here: https://github.com/kaifishr/RocketLander
What are some alternatives?
scikit-opt - Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)
GnomansLand - An open-world reinforcement learning playground for gnomes filled with dangerous peril and bountiful treasure.
biteopt - Derivative-Free Global Optimization Method (C++, Python binding)
SpaceDrones - A simple learning environment with space drones for evolution-inspired optimization.
Sklearn-genetic-opt - ML hyperparameters tuning and features selection, using evolutionary algorithms.
Pendulum - Inverted Pendulum in python with pybox2d. Fuzzy and PID simulation included.
Parameterize.Net - Parameterize.Net is a library that allows developers to represent complex objects using float array.
PyGame-Learning-Environment - PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.
GARI - GARI (Genetic Algorithm for Reproducing Images) reproduces a single image using Genetic Algorithm (GA) by evolving pixel values.
Gradient-Free-Optimizers - Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
deeplearning
GeneticAlgorithmPython - Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).