Machine Learning

Get started with LangChain4j, a Java library designed to simplify the integration of large language models (LLMs), and learn how to leverage its features for vector embeddings, semantic search, and generative AI applications.

Open source project: TensorFlow

ONNX is an open ecosystem for interoperable AI models. It's a community project: we welcome your contributions!

Creating open standards around container technology

Home for technical activities hosted by the Open Mainframe Project.

Repositories related to the scikit-learn Python machine learning library.

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Predictive analytics pipelines empower teams to move from reactive to proactive operations. Developers must architect these systems to be efficient, transparent, and adaptable. By understanding the end-to-end flow of data, from raw data ingestion, through preprocessing and feature engineering, to PCA, to model deployment and prediction, developers can build solutions that provide valuable foresight, such as predicting employee stress before it impacts productivity.

create and customize data visualizations in Data Refinery on the IBM watsonx.ai platform.

Look at two ways to build predictive models, both with and without the help of AutoAI.