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lucylow / Deep-Learning-Mahjong---

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Star 85

Reinforcement learning (RL) implementation of imperfect information game Mahjong using markov decision processes to predict future game states

nlp markov-model mahjong reinforcement-learning computer-vision reactjs tensorflow game-development markov-chain supervised-learning game-theory deep-q-network reinforcement softmax supervised-machine-learning npc-generator deep-neural-network deep-learning-mahjong battle-mahjong game-play
  • Updated Aug 24, 2022
  • JavaScript

NASA-DEVELOP / SLaCC

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The Supervised Land Cover Classification (SLaCC) tool is a Google Earth Engine script created by the Summer 2019 Southern Maine Health and Air Quality Team. It uses NASA Earth observations, the National Land Cover Database, land cover classification training data, and a shapefile of Cumberland County, Maine, USA. The goal of the project was to e…

machine-learning gui edge-detection cart google-earth-engine gee supervised-machine-learning landsat-8 landcover-classification nlcd
  • Updated Feb 11, 2022
  • JavaScript

SohaT7 / NYC_Restaurant_Analysis

Star 1

Data visualization of the NYC restaurant data, and data analysis to gauge if a restaurant located in a high-income area receives a higher health inspection grade. Uses Python (Pandas, Scikit-learn, Imbalanced-learn), PostgreSQL, SQLAlchemy, Tableau, JavaScript (Plotly.js library), HTML, CSS, and Bootstrap.

javascript css python html bootstrap machine-learning sqlalchemy scikit-learn postgresql plotly pandas data-visualization data-analysis tableau supervised-machine-learning imbalanced-learn
  • Updated Oct 19, 2022
  • JavaScript

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