AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents

A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.

中文 NLP 预处理、解析工具包，准确、高效、易用 A Chinese NLP Preprocessing & Parsing Package www.jionlp.com

🤗 Evaluate: A library for easily evaluating machine learning models and datasets.

[NeurIPS2025] "AI-Researcher: Autonomous Scientific Innovation" -- A production-ready version: https://novix.science/chat

A Multi-Agent Trading System Based on Internal Contest Mechanism

Jina VDR is a multilingual, multi-domain benchmark for visual document retrieval

Industrial-first evaluation benchmark for LLMs in the DevOps/AIOps domain.

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

收集整理开源的数据标注工具

Microsoft.Recognizers.Text provides recognition and resolution of numbers, units, date/time, etc. in multiple languages (ZH, EN, FR, ES, PT, DE, IT, TR, HI, NL. Partial support for JA, KO, AR, SV).…

GraalPy – A high-performance embeddable Python 3 runtime for Java

Ongoing research training transformer models at scale

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

A curated, but incomplete, list of data-centric AI resources.

A powerful tool for creating fine-tuning datasets for LLM

Infisical is the open-source platform for secrets, certificates, and privileged access management.

🔥 MaxKB is an open-source platform for building enterprise-grade agents. 强大易用的开源企业级智能体平台。

Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷

OCR & Document Extraction using vision models

Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.

Model Context Protocol Servers

[ACL 2024 Findings] Code implementation of Paper "Rethinking Negative Instances for Generative Named Entity Recognition"

Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)

This hands-on lab aims to alleviate some of that headache by demonstrating how to create/augment a QnA dataset from complex unstructured data, assuming a real-world scenario. The sample aims to be …

The Open Source Feature Store for AI/ML

Vision Document Retrieval (ViDoRe): Benchmark. Evaluation code for the ColPali paper.