h2o-framework

There are 13 repositories under h2o-framework topic.

  • pH-7/H2OTpl

    🐘 The simplest and best way to separate your HTML (template) code from your PHP code while coding in PHP. H2OTpl is an easy, fast and secure PHP template engine including a cache system

    Language:PHP5203

  • bnriiitb/applied_machine_learning_course

    Applied Machine Learning Course

    Language:Jupyter Notebook4204

  • IDzUp/H2OAffiliatePlatform

    :money_with_wings: Simple, Secure and Fast Dating Affiliate Platform using H2O Framework (like H2OGame https://github.com/pH-7/H2OGame) coded with best practices on the MVC pattern and with 100% code language separation (PHP code only in PHP files, SQL code only in SQL files, HTML code only in HTML files, CSS only in CSS files, JS code only in JS files)

    Language:PHP2102

  • pH-7/Spooky

    :lion: Spooky is exclusive and quite weird Web app. To be brief, this is the only "spooky CMS" currently findable on the Internet... :astonished:

    Language:PHP2302

  • WilliamRappel98/ce3-h2o

    Files for compiling my presentation about H2O.ai.

    Language:HTML2100

  • AniketP04/Credit-Card-Fraud-Detection

    This project is used to detect a credit card fraud detection in an unsupervised manner. An autoencoder- based. an autoencoder with two hidden layer clustering model is build. an autoencoder with two hidden layer and K-means clustering unsupervised machine learning algorithm is used. The data has been taken from Kaggle

    Language:Jupyter Notebook1200
  • nonparametric-fraud-web-detector

    XinyiXiang/nonparametric-fraud-web-detector

    Fraudulent websites detector built with nonparametric models

    Language:R1100

  • PanosNikolaou/iSERM

    Intelligent Decision Support System for Environmental Risk Management

    Language:Python0201

  • priyal1508/priyal2203

    Code Snippets - Data Science ,Machine Learning,Deep Learning,H2O,Time Series,Spark ,Big data,Azure Databricks

    Language:HTML0100

  • raghavm23/Exoplanet-Detection-Through-Deep-Learning

    The objective of the project is to apply deep learning techniques in finding the existence of exoplanet. This is achieved by reducing the dimension of the data, followed by generating multiple unique models, parameter tuning of models and finally validating the model.

    Language:R0210

  • dhamvi01/Regression-with-H20-AutoML

    Language:Jupyter Notebook20

  • javatarz/h2o-ml-sandbox

    An example of how to provide a CD pipeline enabled h2o Machine Learning project Edit

    Language:Java40

  • mayankskb/H2O-coding

    Inches to H2O Practice. Not water but h2o.ai :)

    Language:Jupyter Notebook20