ImagineAILab/ai-by-hand-excel resource

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6261 stars · 779 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A collection of Excel workbooks that implement deep learning concepts by hand, from softmax and backpropagation to transformers, LSTM, Mamba, and DeepSeek architectures. It is an educational resource for learning neural network mechanics visually through spreadsheet formulas rather than code.

Use cases

• learn how backpropagation works step by step
• understand self-attention and multihead attention in a spreadsheet
• study LSTM and xLSTM cell mechanics visually
• teach a deep learning class with hands-on Excel exercises
• explore how the transformer architecture works without writing code
• work through softmax and temperature scaling by hand

When to choose

• you want to deeply understand neural network math by building it manually in Excel
• you are an instructor looking for visual teaching materials for deep learning
• you prefer spreadsheet-based learning over coding exercises

When to avoid

• you need production-ready machine learning code or libraries
• you want runnable training pipelines or GPU acceleration
• you do not have access to Microsoft Excel or a compatible spreadsheet application

Facets

learning-resource · maturity active

machine-learning deep-learning data-visualization machine-learning deep-learning education tutorials windows cross-platform excel spreadsheets hands-on-learning neural-networks transformers attention lstm backpropagation deepseek mamba education macos

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