Genesis

A repository of learning materials. From a simple neuron to Artificial Intelligence.

This is the companion code repository for Neurogenesis — an interactive AI education platform by NeuralRhythms.

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What's Inside

Each folder contains runnable Python code that accompanies a chapter or case study on the website. The code is heavily commented so you can read it like a tutorial — even without deep coding experience.

genesis/
├── chapters/
│   └── chapter-01/          # The First Neuron
│       ├── simple_neuron.py
│       ├── neuron_training.py
│       └── neuron_training_batch.py
├── case-studies/
│   └── car-prices/          # Case Study 01: Car Price Prediction
│       ├── 01_explore_data.py
│       ├── 02_first_neuron.py
│       ├── 03_training_raw.py
│       ├── 04_normalised.py
│       ├── 05_visualise_loss.py
│       ├── 06_save_model.py
│       ├── 07_load_model.py
│       ├── 08_exercise_solution.py
│       └── data/
│           └── used_cars.csv
├── requirements.txt
└── LICENSE

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Getting Started

For detailed setup instructions covering Windows, macOS, and Linux, see:

👉 SETUP.md — complete environment setup guide

Quick start (if you already have Python 3.10+):

1. Clone the repository

git clone https://github.com/neuralrhythms/genesis.git
cd genesis

2. Create a virtual environment

python -m venv venv

# Activate it:
# Windows
venv\Scripts\activate
# macOS / Linux
source venv/bin/activate

3. Install dependencies

pip install -r requirements.txt

4. Run any script

cd case-studies/car-prices
python 04_normalised.py

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Recommended Editor

Visual Studio Code with the Python extension.

Quick setup in VS Code:

1. Open the genesis folder
2. Ctrl+Shift+P → "Python: Create Environment" → Venv → select interpreter → select requirements.txt
3. Open any .py file and press F5 to run

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Index of Chapters

#	Title	Website	Code
01	The First Neuron	Read →	chapters/chapter-01/

Index of Case Studies

#	Title	Website	Code
01	Car Price Prediction	Read →	case-studies/car-prices/
02	Stroke Risk Prediction	Read →	case-studies/stroke-risk/

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Dependencies

All code uses:

• Python 3.10+
• PyTorch — neural network framework
• Pandas — data loading and cleaning
• Matplotlib — loss curve visualisation

See requirements.txt for exact versions.

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License

This repository is licensed under the MIT License.

The used car dataset (case-studies/car-prices/data/used_cars.csv) is by Taeef Najib and is licensed under CC BY 4.0.

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Links

• Website: ai.neuralrhythms.in
• Portfolio: neuralrhythms.in
• Website repo: github.com/neuralrhythms/neurogenesis