Predictive Analytics
Showing 9 of 9 projects
An open-source forecasting tool for time series data with multiple seasonality and linear or non-linear growth.
An open source machine learning server for developers and data scientists, supporting event collection, algorithm deployment, and REST API queries.
A Python library for time series forecasting using scikit-learn compatible machine learning models.
A cloud-native supply chain management solution demonstrating hybrid cloud, microservices, and predictive analytics for real-world ERP enhancement.
A PMML evaluator library for Apache Spark that provides ML-compatible transformers for deploying predictive models.
A Ruby gem for scoring predictive models using PMML, supporting decision trees, naive Bayes, logistic regression, random forests, and gradient boosted trees.
Go binding for the MXNet C Predict API to perform inference with pre-trained deep learning models.
A Node.js interface for running XGBoost models and making predictions.
A Swift library for building predictions using linear regression with simple API and statistical insights.
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