warner-benjamin/fastxtend
Train fastai models faster (and other useful tools)
This project helps machine learning practitioners accelerate the training of their deep learning models using the fastai framework. It takes existing fastai training setups as input and outputs significantly faster training times, often with reduced memory usage, for tasks like image classification, natural language processing, and other machine learning applications. Data scientists and ML engineers working with fastai will find this valuable.
No commits in the last 6 months. Available on PyPI.
Use this if you are a data scientist or ML engineer using fastai and want to dramatically speed up your model training and potentially save GPU memory.
Not ideal if you are not using the fastai deep learning framework or if your primary goal is to build models from scratch without pre-existing fastai components.
Stars
74
Forks
7
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jun 04, 2025
Commits (30d)
0
Dependencies
4
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