Sandbox
Sandbox AI is the new, easy way to create, analyze and program machine learning
With ML algorithms like K-Nearest-Neighbours, Linear Regression, tools to create complex functions like genetic algorithms and frequent updates and improvements, what's not to love about py-sandbox!
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Table of Contents
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Features
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โ Models-
โ Linear Regression -
โ Logistic Regression -
โ Decision Trees -
โ Random Forest -
โ Adaboost -
โ K-Nearest Neighbours - โ K-Means Clustering
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โ Neural Networks -
โ Epsilon Greed Q-Learning
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โ Submodules-
โ Genetic Algorithms-
โ Genomes -
โ Optimisers
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โ Neural Networks-
โ Dense Layers -
โ LSTMs -
โ GRUs
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โ Reinforcement Learning- โ Q-Learning
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โ Greedy -
โ Epsilon Greedy -
โ UCB (Upper Confidence Bounds) - โ Q-Tables
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โ Environments
- โ Q-Learning
- โ Auto Analysis
- โ Maths Tools
- โ Distance Functions
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โ Eucledian -
โ Manhattan
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- โ Random Numbers - โ Random range with float step
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โ Logging Tools -
โ Types
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Contributing โ
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Note: Please read the Contributing Guidelines and the appropriate code style document (linked to in
CONTRIBUTING.md
).
Thanks to all who have already contributed...
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Other Notes ๐
History โ
py-sandbox was created in 2021 by @Neuron-AI, aiming to create an easy experience for all ML engineers, with any and all of the newly developed algorithms from Neuron AI.
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Naming Conventions Mostly, the names of modules are universal, but, there was some choice of the maths section of the module. In the end, the maths section is known as py-sandbox.math
rather than py-sandbox.maths
(as we are a British group), since there is such a large population who'll use this knowing American English, and it is quicker to type the American version anyway.