BirkhoffG/jax-dataloader
Pytorch-like dataloaders for JAX.
When you're building machine learning models with JAX, this tool helps you efficiently load and prepare your data for training. It takes in various dataset formats like Hugging Face, PyTorch, or TensorFlow datasets and outputs batches of data ready for your JAX model. This is designed for machine learning engineers and researchers who are developing models using the JAX framework.
102 stars. Available on PyPI.
Use this if you are a machine learning practitioner using JAX and need a flexible way to manage and feed data from different sources into your models.
Not ideal if you are not working with JAX or if your primary data loading needs are already fully met by a single framework's native data utilities.
Stars
102
Forks
3
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Dec 16, 2025
Commits (30d)
0
Dependencies
2
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