156 Open source projects that are alternatives of or similar to GraphOfDocs

This project demonstrates how to apply machine learning algorithms to distinguish "good" stocks from the "bad" stocks.

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NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

This is a project based on the FIFA World Cup 2019 and Analyzes the Performance and Efficiency of Teams, Players, Countries and other related things using Data Analysis and Data Visualizations

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Python Driver for ArangoDB with built-in validation

Graph database optimized for fast analysis and real-time data processing. It is provided as an extension to PostgreSQL.

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Python utilities for Machine Learning competitions

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This repository consist of a 50-day program. All the statistics required for the complete understanding of data science will be uploaded in this repository.

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Python library for feature selection for text features. It has filter method, genetic algorithm and TextFeatureSelectionEnsemble for improving text classification models. Helps improve your machine learning models

Docker compose for Nebula Graph

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A framework to benchmark different graph databases, based on generated data from customizable schema, distribution, and size.

Exemplary, annotated machine learning pipeline for any tabular data problem.

Feature engineering package with sklearn like functionality

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skrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.

Statistical Inference and Sure Independence Screening via Ball Statistics

code for "A global pathway selection algorithm for the reduction of detailed chemical kinetic mechanisms" (Gao et al., CNF'16)

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JavaScript tools for graph processing in Node.js and the browser inspired by the Apache TinkerPop API

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All Relevant Feature Selection

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Use advanced feature engineering strategies and select best features from your data set with a single line of code.

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Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales