paxml
Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimentation and parallelization, and has demonstrated industry leading model flop utilization rates.
Run machine learning experiments and train large models using Jax on cloud computing resources.
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Free · no card · unsubscribe anytimePax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimentation and parallelization, and has demonstrated industry leading model flop utilization rates.
paxml has 558 stars on GitHub. It has been forked 72 times. paxml is written mainly in Python. It has been in active development since 2022. paxml is available under the Apache-2.0 license. Its main topics are c4, gpt, jax, large-language-models.
What is paxml?
Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimentation and parallelization, and has demonstrated industry leading model flop utilization rates.
Is paxml open source?
paxml is an open-source project. It is released under the Apache-2.0 license.
Is paxml free?
Yes. paxml is free and open source — you can use, modify and self-host it.
What license does paxml use?
paxml is available under the Apache-2.0 license.
What language is paxml written in?
paxml is written mainly in Python.
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