GH Repository · Ramakm
ai-hands-on
A group of notebooks and other files which can help you learn AI from scratch.
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pythonJupyter Notebookaichatbotmlbooksmachine-learningmathneural-networkocrartificial-intelligencepytorchmlmodelragtransformer
ai-hands-on is a collection of Jupyter notebooks and supporting files for learning AI from scratch, covering topics such as math, machine learning, neural networks, transformers, PyTorch, chatbots, OCR and RAG. The exact contents of each notebook are not documented beyond the topic list, so scope within each area is unknown.
Reach for it if you want a single MIT-licensed set of notebooks to work through AI fundamentals and RAG topics in Python.
Use it to
- Work through AI fundamentals notebooks
- Study neural networks and transformers in PyTorch
- Learn RAG concepts hands-on
- Explore OCR and chatbot examples
For Beginners learning AI and machine learning in Python
- Role
- rag
- Language
- Jupyter Notebook
- Licence
- MIT
- Forks
- 306
- Last push
- 2026-09-15
topicsjupytermachine-learningneural-networkspytorchraglearning