OpenManus
OpenManus is an open-source project that allows users to achieve Manus-like functionality without an invite code. It provides a simple implementation for creating and customizing AI agents.
Részletes Bevezetés
OpenManus is an open-source implementation of Manus, built by the MetaGPT contributors. It allows you to create and customize your own AI agents without needing an invite code. The project was developed within 3 hours by the team members @mannaandpoem, @XiangJinyu, @MoshiQAQ, and @didiforgithub. OpenManus supports various LLM APIs and provides configuration options for different models.
TöbbLLM
Psy-Insight: Mental Health Counseling Dataset
Psy-Insight is a bilingual, interpretable multi-turn dataset for mental health counseling dialogues. It includes 6,208 rounds of multi-turn counseling dialogues in English and 5,776 rounds in Chinese, annotated with step-by-step reasoning labels and multi-task labels. This dataset is designed to support the application of large language models in mental health and is suitable for tasks such as emotion classification and psychological treatment interpretation.
Depression: Twitter Dataset + Feature Extraction
This dataset contains 20,000 labelled English tweets of depressed and non-depressed users. The data is collected using the Twitter API and includes feature extraction techniques such as topic modelling and emoji sentiment analysis. It is designed for mental health classification at the tweet level.
Question-Level Feature Extraction on DAIC-WOZ Dataset
The DAIC-WOZ dataset contains clinical interviews designed to support the diagnosis of psychological distress conditions such as anxiety, depression, and post-traumatic stress disorder. This repository provides code for extracting question-level features from the DAIC-WOZ dataset, which can be used for multimodal analysis of depression levels.