Machine Learning

Teach systems to learn without them being explicitly programmed.

Machine learning is giving systems the ability to learn and improve without them being explicitly programmed.

Open Projects

27 August 2024

Open Project

AI Explainability 360

The AI Explainability 360 toolkit (AIX360) is an open source software toolkit that can help consumers comprehend how machine learning models predict labels.

26 August 2024

Open Project

AI Fairness 360

The AI Fairness 360 toolkit (AIF360) is an open source software toolkit that can help detect and remove bias in machine learning models.

04 August 2024

Open Project

CodeFlare

Open source CodeFlare drastically reduces time to set up, run, and scale machine-learning tests. Learn more and contribute.

19 December 2024

Open Project

JVector

JVector is a high-performance vector search engine written in Java, designed for efficient similarity search and nearest neighbor queries on high-dimensional vectors.

16 June 2024

Open Project

KServe

A standard cloud-agnostic model inference platform that provides pluggable production serving.

15 June 2024

Open Project

KServe ModelMesh

A mature, general-purpose model serving management and routing layer. Optimized for high volume, high density, and frequently changing model use cases, ModelMesh intelligently loads and unloads models to and from memory to strike a balance between responsiveness and compute.

13 June 2024

Open Project

Kubeflow

A machine learning toolkit that makes deployments of machine learning workflows on Kubernetes simple, portable, and scalable.

12 June 2024

Open Project

Kubeflow pipelines

An open-source platform that allows users to create, deploy, and manage machine learning workflows on Kubernetes. Kubeflow Pipelines provides a way to define and execute complex pipelines consisting of interconnected steps, enabling users to easily orchestrate the entire machine learning process from data preparation to model training, evaluation, and deployment.

08 June 2024

Open Project

Label Sleuth

Label Sleuth helps domain experts label data and build NLP models tailored to their specific needs. As they label examples within the system, machine learning models are automatically trained in the background, make predictions on new examples, and provide suggestions for the users on the examples they should label next.

19 December 2024

Open Project

LangFlow

LangFlow is a visual framework for building LLM applications with a drag-and-drop interface, making it easy to create complex AI workflows and applications.

30 May 2024

Open Project