ADLENGINE

ADLENGINE: Open-Source Machine Learning Framework

ADLENGINE is an open-source machine learning framework for building intelligent applications. It provides tools for data processing, model training, evaluation, and deployment.

What is ADLENGINE?

ADLENGINE is an open-source machine learning framework developed by IBM for building intelligent applications. It provides a comprehensive set of tools and capabilities for the full machine learning lifecycle including:

• Data ingestion and pre-processing - Tools for connecting to data sources, cleaning, transforming and normalizing data.
• Model building - APIs and algorithms for training machine learning models such as neural networks, random forests, logistic regression etc.
• Model evaluation - Mechanisms for analyzing model accuracy, precision, recall, F1 score etc.
• Model deployment - Serving models via REST APIs and integration with application platforms.
• Monitoring - Tracking model performance and drift over time in production.
• Experiment tracking - Logging model experiments with parameters and results for comparison.
• Visualization - Creating charts, graphs and dashboards for exploring data and models.

Some key highlights of ADLENGINE:

• Supports all popular machine learning approaches including deep learning.
• Can scale out training and deployment on clusters.
• Simplifies the model building process.
• Interoperability with other platforms via REST APIs.
• Available on both cloud and on-premise environments.

ADLENGINE enables faster development and deployment of machine learning powered applications across various industries and use cases.

ADLENGINE Features

Official Links