← all repositories
GURPREETKAURJETHRA/END-TO-END-GENERATIVE-AI-PROJECTS

The LLM Demo Index: 25 Projects and Not a Monorepo in Sight

To save developers from hunting for LLM starter templates, this repo catalogs 25 independent projects—RAG, chatbots, fine-tuning, and more—mostly using LangChain, Gemini, and Streamlit.

END-TO-END-GENERATIVE-AI-PROJECTS
Not currently ranked — collecting fresh signals.
star history

What it does

This repository is essentially a curated syllabus: a single README table linking to 25 separate Generative AI projects. Each entry is a standalone demo or tutorial—PDF chatbots, YouTube summarizers, text-to-SQL converters, medical RAG systems, and fine-tuning recipes—mostly built with Python, LangChain, and Streamlit. It does not contain the code itself; it maps out where to find it.

The interesting bit

The collection has a noticeable medical and paperwork tilt, with multiple entries for medical chatbots, invoice extraction, and resume parsing. It also juxtaposes proprietary APIs like Google Gemini Pro and Groq against fully open-source stacks such as Mistral 7B, BioMistral, and Ollama, letting you compare the same architectural patterns with and without a cloud bill.

Key highlights

  • Covers a wide spread: RAG with LlamaIndex, text-to-SQL, on-device inference via MediaPipe, Stable Diffusion speedups, and even a CrewAI financial-analysis agent.
  • Fine-tuning is represented through LoRA, QLoRA, Unsloth, and DPO training recipes for Llama 2 and Phi-2.
  • Several projects target fully open-source deployment: Haystack + Mistral 7B, Gemma-7B via Ollama, and BioMistral + Qdrant + PubMedBERT.
  • Most demos deploy through Streamlit or Gradio, with a few using FastAPI or Chainlit.
  • The table links directly to each project’s own repository, making this a meta-directory rather than a monorepo.

Caveats

  • This is strictly an index; code and documentation quality will vary across the 25 linked repositories.
  • Several table entries have no description at all beyond a project name, so you may need to click through to understand what a demo actually does.
  • The README offers no filtering, tagging, or difficulty ratings, which makes browsing feel like scrolling through an unsearchable spreadsheet.

Verdict

Worth bookmarking if you are a developer looking for starter templates or comparing how Gemini Pro stacks up against open-source alternatives in real mini-apps. Skip it if you want a single maintained library or framework—this is a directory, not a product.

Frequently asked

What is GURPREETKAURJETHRA/END-TO-END-GENERATIVE-AI-PROJECTS?
To save developers from hunting for LLM starter templates, this repo catalogs 25 independent projects—RAG, chatbots, fine-tuning, and more—mostly using LangChain, Gemini, and Streamlit.
Is END-TO-END-GENERATIVE-AI-PROJECTS open source?
Yes — GURPREETKAURJETHRA/END-TO-END-GENERATIVE-AI-PROJECTS is open source, released under the MIT license.
How popular is END-TO-END-GENERATIVE-AI-PROJECTS?
GURPREETKAURJETHRA/END-TO-END-GENERATIVE-AI-PROJECTS has 610 stars on GitHub.
Where can I find END-TO-END-GENERATIVE-AI-PROJECTS?
GURPREETKAURJETHRA/END-TO-END-GENERATIVE-AI-PROJECTS is on GitHub at https://github.com/GURPREETKAURJETHRA/END-TO-END-GENERATIVE-AI-PROJECTS.

heatdrop uses Google Analytics to see which pages get read — nothing else. Your call. How we handle data.