Ramakm / AI-Engineering
A group of notebooks and other files which can help you learn AI from scratch.
Why this job: says: learn ai, from scratch
What it does
This repository is designed to help you learn AI from first principles, build real neural networks, and understand modern LLM systems end-to-end. You'll progress through math, PyTorch, deep learning, transformers, RAG, and OCR — with clean, intuitive Jupyter notebooks guiding you at every step.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 38 days ago
- Stars
- 1,466
- +4 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Jupyter Notebook
- 97% of the code
Is it looked after?
- Contributors
- 2
- Last 90 days
- Issues
- None
- No issues filed
- Pull requests
- 8 merged
- 1 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Jupyter Notebook 97%
- Python 2%
- HTML 1%
- JavaScript <1%
Topics
- ai
- artificial-intelligence
- books
- chatbot
- machine-learning
- math
- ml
- mlmodel
- neural-network
- ocr
- pytorch
- rag
Project record
- JobLists and guides
- StatusListed
- Commits81
- Forks310
- Watching16
- Stars in 28 days+10
- CreatedNov 24, 2025
- First seen by usNov 7, 2026
- CheckedNov 7, 2026
