#
Yasser-Cloud
Follow
Starred repositories
KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge ba…
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Collection of awesome LLM apps with RAG using OpenAI, Anthropic, Gemini and opensource models.
An Open Source implementation of Notebook LM with more flexibility and features
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
This repository contains LLM (Large language model) interview question asked in top companies like Google, Nvidia , Meta , Microsoft & fortune 500 companies.
Perplexica is an AI-powered search engine. It is an Open source alternative to Perplexity AI
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
Mastering Applied AI, One Concept at a Time
This repository contains various advanced techniques for Retrieval-Augmented Generation (RAG) systems.
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
From RAG chatbots to code assistants to complex agentic pipelines and beyond, build LLM systems that run better, faster, and cheaper with tracing, evaluations, and dashboards.
A high-quality tool for convert PDF to Markdown and JSON.一站式开源高质量数据提取工具，将PDF转换成Markdown和JSON格式。
OCR, layout analysis, reading order, table recognition in 90+ languages
Master programming by recreating your favorite technologies from scratch.
A playbook for effectively prompting post-trained LLMs
An open-source RAG-based tool for chatting with your documents.
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
😎 Awesome lists about all kinds of interesting topics
List of ngrok/Cloudflare Tunnel alternatives and other tunneling software and services. Focus on self-hosting.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Hands-on tutorials on fine-tuning various LLMs using different fine-tuning techniques
🎓 无需编写任何代码即可轻松创建漂亮的学术网站 Easily create a beautiful academic résumé or educational website using Hugo and GitHub. No code.
Data augmentation for NLP, presented at EMNLP 2019
A Comprehensive Toolkit for High-Quality PDF Content Extraction
Building a qa assistant on Lex Fridman podcasts (ASR -> Indexing -> RAG)