Stars
LLM based autonomous agent that conducts deep local and web research on any topic and generates a long report with citations.
百聆 是一个类似GPT-4o的语音对话机器人,通过ASR+LLM+TTS实现,集成DeepSeek R1等优秀大模型,时延低至800ms,Mac等低配置也可运行,支持打断
Start building LLM-empowered multi-agent applications in an easier way.
This is Microsoft-Phi-3-NvidiaNIMWorkshop
Data-Copilot: Bridging Billions of Data and Humans with Autonomous Workflow
[ICLR'24 Spotlight] The official codes of our work on AIGC detection: "Multiscale Positive-Unlabeled Detection of AI-Generated Texts"
An Open-sourced Knowledgable Large Language Model Framework.
为GPT/GLM等LLM大语言模型提供实用化交互接口,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮&函数插件,支持Python和C++等项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
Automatically literature survey/review with GPT! An intelligent research assistant leveraging GPT-3.5 /GPT-4 to find, analyze, and rank relevant academic papers from Google Scholar based on user-pr…
AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents
Search Scopus and get citations and references from Semantic Scholar. Makes edges and notes for graph visualization
An ideal companion for PhD students! This tool is crafted to streamline academic research by wrapping around Semantic Scholar APIs. 🎓❤️
RamanSPy: An open-source Python package for integrative Raman spectroscopy data analysis
gilderf / chatgpt_academic
Forked from Popsama/chatgpt_academic科研工作专用ChatGPT拓展,特别优化学术Paper润色体验,支持自定义快捷按钮,支持markdown表格显示,Tex公式双显示,代码显示功能完善,新增本地Python工程剖析功能/自我剖析功能
CRIKit2 is a hyperspectral imaging toolkit formerly known as the coherent Raman imaging toolkit.
Please go to CRIkit2: https://github.com/CCampJr/crikit2 . This repository is maintained for archival purposes
baseline correction using adaptive iteratively reweighted Penalized Least Squares
gilderf / Theano
Forked from Theano/TheanoTheano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic …
Experiments on creating an SVM that can perform multi-class classification
Porting Newton SVM from Matlab to Shogun's C++ framework