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- A package that makes it trivial to create and evaluate machine learning pipeline architectures.
- A Python toolkit for fine-tuning Geospatial Foundation Models (GFMs).
- Empower developers with application development accelerators to simplify and automate key tasks associated with modernization, development and operations. Install and use these developer tools in your Java IDE of choice: Eclipse IDE or Visual Studio Code.
- Lunchpail compiles your job code into an all-in-one executable. Others download that binary, and "up" it to run your code locally, in a Kubernetes cluster, or on run-and-done virtual machines in the Cloud.
- A Model Context Protocol (MCP) Gateway & Registry. Serves as a central management point for tools, resources, and prompts that can be accessed by MCP-compatible LLM applications. Converts REST API endpoints to MCP, composes virtual MCP servers with added security and observability, and converts between protocols (stdio, SSE, Streamable HTTP).
- 🦄 Unitxt is a Python library for enterprise-grade evaluation of AI performance, offering the world's largest catalog of tools and data for end-to-end AI benchmarking
- A collection of Universal connector plug-ins for IBM Guardium Data Protection and IBM Guardium Insights. A universal connector allows Guardium customers to digest data activity events from various data sources and to quickly develop such a plug-in, if required.
- Official Aspera Connect SDK for Javascript
- A collection of Model Context Protocol (MCP) servers, clients and developer tools by IBM.
- Span Queries: What if we had a way to plan and optimize GenAI like we do for SQL?
- EvalAssist is an open-source project that simplifies using large language models as evaluators (LLM-as-a-Judge) of the output of other large language models by supporting users in iteratively refining evaluation criteria in a web-based user experience.