#自然语言处理#Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets
🌊 A Human-in-the-Loop workflow for creating HD images from text
#自然语言处理#The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.
#Awesome#Everything you need about Active Learning (AL).
#时序数据库#Power Tools for AI Engineers With Deadlines
翻译 - H1st AI解决了工业AI的关键“冷启动”问题:对人类专业知识进行编码以增加数据的缺乏,同时构建向机器学习未来的平稳过渡。此问题已导致大多数工业AI项目失败。
#大语言模型#HumanLayer enables AI agents to communicate with humans in tool-based and async workflows. Guarantee human oversight of high-stakes function calls with approval workflows across slack, email and more....
Tiledesk Server is the main API component of the Tiledesk platform 🚀 Tiledesk is an open-source alternative to Voiceflow, allowing you to build advanced LLM-powered agents with easy human-in-the-loop...
Free and source-available Apache 2.0 licensed lightweight workflow automation tool.
#大语言模型#🤖 An open-source, AI agent-native research canvas application that performs real-time search with HITL (Human in The Loop) capabilities, powered by CopilotKit, Tavily and LangGraph
VR driving 🚙 + eye tracking 👀 simulator based on CARLA for driving interaction research
#大语言模型#Toolkits to create a human-in-the-loop approval layer to monitor and guide AI agents workflow in real-time.
#计算机科学#Semi-automatic tool for manual segmentation of multi-spectral and geo-spatial imagery.
#自然语言处理#DataCLUE: 数据为中心的NLP基准和工具包
[ICCV 2023] Official implementation of the paper "Neural Interactive Keypoint Detection"
#计算机科学#Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.
#计算机科学#A Universal Deep Reinforcement Learning Framework
#计算机科学#RootPainter: Deep Learning Segmentation of Biological Images with Corrective Annotation
#数据仓库#Give your computer an AI Brain
(Engineering) Toward human-in-the-loop AI: Enhancing deep reinforcement learning via real-time human guidance for autonomous driving