H5Record
Large dataset storage format for Pytorch (by theblackcat102)
indexed-file
Simple class aimed to provide a simple indexed file scheme. (by freud14)
H5Record | indexed-file | |
---|---|---|
3 | 1 | |
45 | 4 | |
- | - | |
0.0 | 0.0 | |
over 2 years ago | over 2 years ago | |
Python | Python | |
MIT License | GNU Lesser General Public License v3.0 only |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
H5Record
Posts with mentions or reviews of H5Record.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-06-05.
- Show HN: H5records – simple large dataset for pytorch training
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[P] H5Records : Store large datasets in one single files with index access
Maybe you can checkout the video branch where sequence of images is supported. You can checkout the test/test_img_seq.py example to use it.
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[D] H5Records : Store large datasets in one single files with index access
Github link
indexed-file
Posts with mentions or reviews of indexed-file.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-06-05.
-
[P] H5Records : Store large datasets in one single files with index access
Similarly, I've made what I called indexed-file which essentially can act as file-like object and that you can access to entries via their indices. As for the format of the data (JSON, pickle) and the compression, it's left to the user.
What are some alternatives?
When comparing H5Record and indexed-file you can also consider the following projects:
DialoGPT - Large-scale pretraining for dialogue