📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
- Updated
Jul 18, 2024
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
The Open Context Layer for Data and AI , OpenMetadata is the open platform for building trusted data context and business semantics for humans, AI assistants, and agents.
The Context Platform for your Data and AI Stack
Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.
Collect, aggregate, and visualize a data ecosystem's metadata
SQL Lineage Analysis Tool powered by Python
First open-source data discovery and observability platform. We make a life for data practitioners easy so you can focus on your business.
📙 Awesome Data Catalogs and Observability Platforms.
Earthdata Search is a web application developed by NASA EOSDIS to enable data discovery, search, comparison, visualization, and access across EOSDIS' Earth Science data holdings.
🐳 The stupidly simple CLI workspace for your data warehouse.
Continuously updated paper list on advancements in Data Agents. Companion repo to our paper "A Survey of Data Agents: Emerging Paradigm or Overstated Hype?"
The open-source context layer for your AI. Catalog your tables, topics, queues and APIs then expose real metadata to your AI agents.
AI比赛经验帖子 & 训练和测试技巧帖子 集锦(收集整理各种人工智能比赛经验帖)
Work with your web service, database, and streaming schemas in a single format.
ODD Specification is a universal open standard for collecting metadata.
The GenAI-powered toolkit for automated data intelligence.
Object Oriented Internet - C# deliverables supporting a new Machine To Machine (M2M) communication architecture
DecisionBox connects to your data warehouse, runs autonomous AI agents that write and execute SQL, and surfaces validated insights and actionable recommendations — without you asking a single question.
Metamapper is a data discovery and documentation platform for improving how teams understand and interact with their data.
Registry of data portals, catalogs, data repositories including data catalogs dataset and catalog description standard