petastorm
Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.
Train and evaluate deep learning models using datasets stored in Apache Parquet format on your own machine or in a group.
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Free · no card · unsubscribe anytimePetastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.
petastorm has 1.9k stars on GitHub. It has been forked 283 times. petastorm is written mainly in Python. It has been in active development since 2018. petastorm is available under the Apache-2.0 license. Its main topics are deep-learning, machine-learning, parquet, parquet-files.
What is petastorm?
Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.
Is petastorm open source?
petastorm is an open-source project. It is released under the Apache-2.0 license.
Is petastorm free?
Yes. petastorm is free and open source — you can use, modify and self-host it.
What license does petastorm use?
petastorm is available under the Apache-2.0 license.
What language is petastorm written in?
petastorm is written mainly in Python.
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