shabooboo86's starred repositories
LLM-Powered-RAG-System
A collection of RAG systems powered by LLM.
llm_aided_ocr
Enhance Tesseract OCR output for scanned PDFs by applying Large Language Model (LLM) corrections.
NotionNext
使用 NextJS + Notion API 实现的,支持多种部署方案的静态博客,无需服务器、零门槛搭建网站,为Notion和所有创作者设计。 (A static blog built with NextJS and Notion API, supporting multiple deployment options. No server required, zero threshold to set up a website. Designed for Notion and all creators.)
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Perplexica
Perplexica is an AI-powered search engine. It is an Open source alternative to Perplexity AI
lm-format-enforcer
Enforce the output format (JSON Schema, Regex etc) of a language model
PDF-Extract-Kit
A Comprehensive Toolkit for High-Quality PDF Content Extraction
MInference
To speed up Long-context LLMs' inference, approximate and dynamic sparse calculate the attention, which reduces inference latency by up to 10x for pre-filling on an A100 while maintaining accuracy.
llm_agents_devtools
A curated list of autonomous agents and developer tools powered by LLM.
awesome-chatgpt-prompts-zh
ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。
awesome-fastapi
A curated list of awesome things related to FastAPI
fastapi-best-practices
FastAPI Best Practices and Conventions we used at our startup
fastapi_best_architecture
基于 FastAPI 构建的前后端分离 RBAC 权限控制系统,采用独特的伪三层架构模型设计,内置 fastapi-admin 基本实现,并作为模板库免费开源
self-correction-llm-papers
This is a collection of research papers for Self-Correcting Large Language Models with Automated Feedback.
ProphetNet
A research project for natural language generation, containing the official implementations by MSRA NLC team.
self-refine
LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.
haystack
:mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.