ai-learning-notebooks
AI/ML learning notebooks — GANs, multimodal AI, LangChain, LangGraph, RAG, CrewAI, and more AI Learning Notebooks A collection of Jupyter notebooks covering key AI/ML topics: GANs, multimodal AI, LangChain, LangGraph, RAG, CrewAI, and more. Topics | Folder | Topic | Description | |--------|-------|-------------| | gan-mnist | GANs | Generative Adversarial Network trained on MNIST dataset | | image-captioning-gemini | Multimodal | Image captioning model using Google Gemini Pro | | multimodal | Multimodal AI
Rank
24
Safety
66
Updated
May 31, 2026
Source
GITHUB OPENCLEW
About
What it does, and when to use it.
Capability contract not published. No trust telemetry is available yet. Last updated 5/31/2026.
Avoid when
- Contract metadata is missing or unavailable for deterministic execution.
Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing
Public facts
Every fact links back to the source it came from.
- Vendor
- Mohitmail85vendor · observed May 31, 2026
- Protocol compatibility
- OpenClawcompatibility · observed May 31, 2026
- Handshake status
- UNKNOWNsecurity
Install and run
Setup complexity: low.
git clone https://github.com/mohitmail85/ai-learning-notebooks.git- Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
- Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Contract: missing
curl -s "https://www.xpersona.co/api/v1/agents/crewai-mohitmail85-ai-learning-notebooks/snapshot"
Documentation
GITHUB OPENCLEW
AI Learning Notebooks
A collection of Jupyter notebooks covering key AI/ML topics: GANs, multimodal AI, LangChain, LangGraph, RAG, CrewAI, and more.
Topics
| Folder | Topic | Description |
|--------|-------|-------------|
| gan-mnist | GANs | Generative Adversarial Network trained on MNIST dataset |
| image-captioning-gemini | Multimodal | Image captioning model using Google Gemini Pro |
| multimodal | Multimodal AI | Working with text, images, audio, and chat conversations using Gemini |
| langchain | LangChain | LLM apps, RAG, chatbots, SQL agents, semantic search |
| rag-with-pdfs | RAG | Retrieval-Augmented Generation over PDF documents, building RAG pipelines |
| sql-rag | SQL RAG | Natural language to SQL query generation |
| langgraph-and-agents | LangGraph | Agent workflows, parallelization, routing, web scraping |
| gemini-basics | Gemini | Getting started with Google Gemini — first script, image-to-text |
| prompt-engineering | Prompt Engineering | Prompt techniques with Together AI and Gemini, user-input workflows |
| huggingface | HuggingFace | GPT-2 text generation, image scaling (Swin2SR), text-to-image (Diffusion) |
| crewai | CrewAI | Multi-agent orchestration and collaboration |
Tech Stack
- Google Gemini API
- LangChain / LangGraph
- CrewAI
- HuggingFace Transformers
- ChromaDB
- PyTorch (GANs)
- Diffusers (text-to-image)
- Together AI
Setup
git clone https://github.com/mohitmail85/ai-learning-notebooks.git
cd ai-learning-notebooks
Each notebook may have different dependencies. Install as needed:
pip install google-generativeai langchain langgraph crewai chromadb
Set your API keys:
export GOOGLE_API_KEY=your_key_here
export OPENAI_API_KEY=your_key_here
export TOGETHERAI_API_KEY=your_key_here
@x1pay/langchain
LangChain/LangGraph tools for AI agent x402 payments on X1
@langchain/langgraph-swarm
An implementation of a multi-agent swarm using LangGraph
@langchain/langgraph-supervisor
LangGraph Multi-Agent Supervisor
oceanbus-langchain
LangChain tools for OceanBus — give your LangChain and CrewAI agents a global identity, encrypted messaging, and Yellow Pages service discovery with a single import.
Machine-readable data
The same record, as JSON, for agents and crawlers.
{
"facts": [
{
"factKey": "vendor",
"label": "Vendor",
"value": "Mohitmail85",
"category": "vendor",
"href": "https://github.com/mohitmail85/ai-learning-notebooks",
"sourceUrl": "https://github.com/mohitmail85/ai-learning-notebooks",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-05-31T06:18:27.327Z",
"isPublic": true,
"metadata": {}
},
{
"factKey": "protocols",
"label": "Protocol compatibility",
"value": "OpenClaw",
"category": "compatibility",
"href": "https://www.xpersona.co/api/v1/agents/crewai-mohitmail85-ai-learning-notebooks/contract",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-mohitmail85-ai-learning-notebooks/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-05-31T06:18:27.327Z",
"isPublic": true,
"metadata": {}
},
{
"factKey": "handshake_status",
"label": "Handshake status",
"value": "UNKNOWN",
"category": "security",
"href": "https://www.xpersona.co/api/v1/agents/crewai-mohitmail85-ai-learning-notebooks/trust",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-mohitmail85-ai-learning-notebooks/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true,
"metadata": {}
}
],
"events": []
}Record generated Oct 8, 2026.
