https://github.com/ipitio/m4l

Evaluating models, from regressors to autoregressive transformers
https://github.com/ipitio/m4l

deep-learning ml nlp

Last synced: over 1 year ago
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Evaluating models, from regressors to autoregressive transformers

• Host: GitHub
• URL: https://github.com/ipitio/m4l
• Owner: ipitio
• License: gpl-3.0
• Created: 2023-12-14T08:37:50.000Z (over 2 years ago)
• Default Branch: master
• Last Pushed: 2023-12-14T10:44:20.000Z (over 2 years ago)
• Last Synced: 2025-02-13T08:52:22.290Z (over 1 year ago)
• Topics: deep-learning, ml, nlp
• Language: Jupyter Notebook
• Homepage:
• Size: 35.1 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Models4Learning

![artwork](evaluation.png)

M4L is a collection of analyses about various machine learning models. The goal is to provide a comprehensive overview of the models, their applications, and their implementations. The analyses are written in Jupyter notebooks.

## Models

The following models are currently included:

### Regressors

- [Linear](linear-tree-forest)

- [Decision Tree](linear-tree-forest)

- [Random Forest](linear-tree-forest)

- [XGBoost](xgboost)

### NLP

- [Skip-Gram](skip-gram)

- [Deep Averaging Network](dan-gru)

- [Gated Recurrent Unit](dan-gru)

- [DistilBERT](distilbert)

- [GPT-3](gpt)