vahidk/tfrecord
A Python library providing standalone TFRecord file reading and writing with native PyTorch dataset integration.
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The tfrecord library enables efficient reading and writing of TensorFlow TFRecord format files in Python. It provides TFRecordDataset and MultiTFRecordDataset classes that implement PyTorch’s IterableDataset interface, allowing seamless integration with PyTorch DataLoader for batching and multi-worker training. The library supports both compressed and uncompressed TFRecords and includes utilities for creating index files to ensure proper multi-worker data loading.
Frequently asked
- What is vahidk/tfrecord?
- A Python library providing standalone TFRecord file reading and writing with native PyTorch dataset integration.
- Is tfrecord open source?
- Yes — vahidk/tfrecord is open source, released under the MIT license.
- What language is tfrecord written in?
- vahidk/tfrecord is primarily written in Python.
- How popular is tfrecord?
- vahidk/tfrecord has 902 stars on GitHub.
- Where can I find tfrecord?
- vahidk/tfrecord is on GitHub at https://github.com/vahidk/tfrecord.