LLM-Multilingual-Knowledge-Boundaries

Label Studio is a multi-type data labeling and annotation tool with standardized output format

? The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hosted dashboard and advanced analytics with timeline and execution graph view

? Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more. ?YC W23

pix2code: Generating Code from a Graphical User Interface Screenshot

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.

Open source annotation tool for machine learning practitioners.

Supercharge Your LLM Application Evaluations ?

Techniques for deep learning with satellite & aerial imagery