metadata
title: TransformersDiffusersNDatasets
emoji: 🏢
colorFrom: gray
colorTo: green
sdk: streamlit
sdk_version: 1.43.0
app_file: app.py
pinned: false
license: mit
short_description: 🌳 AI Knowledge Tree Builder 📈🌿
🌳 AI Knowledge Tree Builder 📈🌿
🌟 Overview
The AI Knowledge Tree Builder is a Streamlit app designed to cultivate and visualize hierarchical knowledge structures. It supports growing trees by synthesizing new ideas into root nodes, breeding trees by merging them at common intersects, and visualizing ML model-building processes with Mermaid graphs—all tied to cutting-edge research.
🚀 Features
- 🌱 Tree Growth: Add new nodes to existing trees, extending branches with fresh ideas (e.g., ML pipelines under AI research).
- 🌳 Tree Breeding: Merge two trees at a shared node to create a novel progeny tree, inspired by L-system capabilities.
- 🖼️ Mermaid Visualizations: Render knowledge trees and ML pipelines (Load Data → Preprocess → Train → Evaluate → Deploy) as interactive graphs.
- 🤖 AI Lookups: Query a text generation model (
distilgpt2) for insights, with responses saved as Markdown files. - 📚 Research Links: Root node connects to Hugging Face Profile, TeachingCV, and DeepResearchEvaluator.
- 📁 File Management: Create, view, and manage interaction files in a sidebar interface.
📋 Structure
- Root Node: Research Hub 🌐
- Branch 1: Awacke1 Profile 📚
- Branch 2: TeachingCV App 🖥️
- Branch 3: DeepResearchEvaluator App 🔍
- Knowledge Trees:
- Biology 🌿
- AI Topics 🤖
- Multiplayer Games 🎮
- ML Pipeline: Load Data 📊 → Preprocess 🛠️ → Train 🤖 → Evaluate 📈 → Deploy 🚀
🎉 Announcement Tweet
🚀 Introducing the AI Knowledge Tree Builder! 🌳✨ Grow & breed knowledge trees 🌱, visualize ML pipelines with Mermaid 🖼️, and tap into research via HF links 📚. Ask AI questions 🤖, save insights 📝, and explore a smarter future! Try it now: [link] #AI #MachineLearning #KnowledgeGraph