oscar-47's Stars
karthik-codex/Autogen_GraphRAG_Ollama
Microsoft's GraphRAG + AutoGen + Ollama + Chainlit = Fully Local & Free Multi-Agent RAG Superbot
win4r/GraphRAG4OpenWebUI
GraphRAG4OpenWebUI integrates Microsoft's GraphRAG technology into Open WebUI, providing a versatile information retrieval API. It combines local, global, and web searches for advanced Q&A systems and search engines. This tool simplifies graph-based retrieval integration in open web environments.
severian42/GraphRAG-Local-UI
GraphRAG using Local LLMs - Features robust API and multiple apps for Indexing/Prompt Tuning/Query/Chat/Visualizing/Etc. This is meant to be the ultimate GraphRAG/KG local LLM app.
remorses/docker-phobia
Analyze Docker images size
3DTopia/LGM
[ECCV 2024 Oral] LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation.
developersdigest/llm-answer-engine
Build a Perplexity-Inspired Answer Engine Using Next.js, Groq, Llama-3, Langchain, OpenAI, Upstash, Brave & Serper
liuhuanyong/CrimeKgAssitant
Crime assistant including crime type prediction and crime consult service based on nlp methods and crime kg,罪名法务智能项目,内容包括856项罪名知识图谱, 基于280万罪名训练库的罪名预测,基于20W法务问答对的13类问题分类与法律资讯问答功能.
LiuHC0428/LAW-GPT
中文法律对话语言模型
sugarforever/chat-ollama
ChatOllama is an open source chatbot based on LLMs. It supports a wide range of language models, and knowledge base management.
lobehub/lobe-chat
🤯 Lobe Chat - an open-source, modern-design AI chat framework. Supports Multi AI Providers( OpenAI / Claude 3 / Gemini / Ollama / Qwen / DeepSeek), Knowledge Base (file upload / knowledge management / RAG ), Multi-Modals (Vision/TTS/Plugins/Artifacts). One-click FREE deployment of your private ChatGPT/ Claude application.
IntelLabs/fastRAG
Efficient Retrieval Augmentation and Generation Framework
Azure/GPT-RAG
Sharing the learning along the way we been gathering to enable Azure OpenAI at enterprise scale in a secure manner. GPT-RAG core is a Retrieval-Augmented Generation pattern running in Azure, using Azure Cognitive Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.
NVIDIA/ChatRTX
A developer reference project for creating Retrieval Augmented Generation (RAG) chatbots on Windows using TensorRT-LLM
AkariAsai/self-rag
This includes the original implementation of SELF-RAG: Learning to Retrieve, Generate and Critique through self-reflection by Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, and Hannaneh Hajishirzi.
AnswerDotAI/RAGatouille
Easily use and train state of the art late-interaction retrieval methods (ColBERT) in any RAG pipeline. Designed for modularity and ease-of-use, backed by research.
finic-ai/rag-stack
🤖 Deploy a private ChatGPT alternative hosted within your VPC. 🔮 Connect it to your organization's knowledge base and use it as a corporate oracle. Supports open-source LLMs like Llama 2, Falcon, and GPT4All.
weaviate/Verba
Retrieval Augmented Generation (RAG) chatbot powered by Weaviate
IDEA-Research/DWPose
"Effective Whole-body Pose Estimation with Two-stages Distillation" (ICCV 2023, CV4Metaverse Workshop)
Mphasis-ML-Marketplace/Plain-Fabric-Surface-Defects-Classifier
Image analytics-based solution to classify salient surface defects in fabric.
PrimeshShamilka/FabricDefectBinaryClassifier
Binary classifier for Fabric Defect Detection in Tensorflow and keras
JJHu1993/fabric
We use attention based LSTM to classify 60 kinds of fabrics based on the tactile data.
harry-xqb/rent-house
租房系统,前后端分离,高仿自如。 结合elasticsearch与百度api实现地图找房,距离找房等实用功能. 后端java技术栈,前端采用 react + typescript
MasonEast/react-blog
技术栈: react + dva + node + koa 完成一个前后端分离的博客网站
react-redux-antd-es6/react
基于react的企业后台管理开发框架
bobangajicsm/react-portfolio-website
Maginaaa/Sentiment-Analysis
情感分析系统,用于分析用户评论是积极还是消极。其中使用了逻辑回归函数、决策树、支持向量机、神经网络等不同的模型进行训练
greyireland/algorithm-pattern
算法模板,最科学的刷题方式,最快速的刷题路径,你值得拥有~
rileycai/FontEndInterview
前端面试宝典-2020 届硕士- web前端 - 春招&秋招前端面试复习资料
google-research-datasets/Objectron
Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes
Somnibyte/Sohi-Poster-Project
ARKit Image Recognition Sample