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miracletiger's Projects

auto-gpt icon auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

awesome-open-gpt icon awesome-open-gpt

Collection of Open Source Projects Related to GPT,GPT相关开源项目合集🚀、精选🔥🔥

bmtools icon bmtools

Tool Learning for Big Models, Open-Source Solutions of ChatGPT-Plugins

chatglm-6b icon chatglm-6b

ChatGLM-6B:开源双语对话语言模型 | An Open Bilingual Dialogue Language Model

chatgpt_academic icon 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,支持自定义函数插件,支持markdown代码块表格显示,Tex公式双显示,新增Python/C++项目剖析/自译解功能,PDF/LaTex论文翻译/总结功能,兼容ChatGLM等本地模型

chemprop icon chemprop

Message Passing Neural Networks for Molecule Property Prediction

cressp icon cressp

a program to find cross-reactive epitopes with structural information from known protein structures.

cube-studio icon cube-studio

云原生一站式机器学习平台,多租户,数据资产,notebook在线开发,拖拉拽任务流编排,多机多卡分布式训练,超参搜索,推理服务,多集群调度,多项目组资源组,边缘计算,大模型实时训练, ai应用商店

document.ai icon document.ai

基于向量数据库与GPT3.5的通用本地知识库方案(A universal local knowledge base solution based on vector database and GPT3.5)

flair icon flair

A very simple framework for state-of-the-art Natural Language Processing (NLP)

gcr.io icon gcr.io

:cyclone: sync the docker images of the gcr.io and quay.io

kubeflow icon kubeflow

Machine Learning Toolkit for Kubernetes

langchain icon langchain

⚡ Building applications with LLMs through composability ⚡

langchain-chatglm icon langchain-chatglm

langchain-ChatGLM, local knowledge based ChatGLM with langchain | 基于本地知识的 ChatGLM 问答

langflow icon langflow

⛓️ LangFlow is a UI for LangChain, designed with react-flow to provide an effortless way to experiment and prototype flows.

lmflow icon lmflow

An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Model for All.

nanogpt icon nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

paper_agent icon paper_agent

Download and analyze papers from sites such as PubMed, arXiv, Sci-Hub, bioRxiv, Google Scholar, medRxiv, and chemRxiv based on thematic keywords to improve research efficiency.

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