Implementations behind quantml.org — every model taught on the site, built from scratch in clean Python.
Each directory is a self-contained project with its own requirements.txt, training script, and analysis tools. Clone the repo, pick a topic, and follow its README.
| Topic | What you'll build | Interactive lesson |
|---|---|---|
| Word2Vec | Skip-gram word embeddings in PyTorch | quantml.org/topics/word2vec |
git clone https://github.com/quantml/learn.git
cd learn/word2vec
pip install -r requirements.txt
python train.pyThe QuantML website provides interactive visualizations, guided walkthroughs, and quizzes for each topic. This repo contains the actual training code that generates the data behind those visualizations. You can:
- Read the code to understand the implementation
- Run it yourself to reproduce results
- Modify hyperparameters and experiment
- Analyze the outputs with the included analysis scripts