zfs-backup
oxen-release
| zfs-backup | oxen-release | |
|---|---|---|
| 1 | 22 | |
| 7 | 831 | |
| - | 1.6% | |
| 10.0 | 9.0 | |
| over 3 years ago | about 1 month ago | |
| Haskell | Python | |
| BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
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.
zfs-backup
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A tale of Phobos – how we almost cracked a ransomware using CUDA
Agreed. I'll shill rsync.net (no affiliation, just a happy customer) and their ZFS VM backup service. It's basically just a lightweight freebsd VM with a big ZFS volume attached, so you can `zfs send` incremental backups to it, and they support meta-snapshotting of your backup machine on their end. I wrote https://github.com/wyager/zfs-backup to manage my automatic incremental backups, and there are a number of other tools like this.
oxen-release
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Ask HN: Can we do better than Git for version control?
We've been working on a data version control system called "oxen" optimized for large unstructured datasets that we are seeing more and more with the advent of many of the generative AI techniques.
Many of these datasets have many many images, videos, audio files, text as well as structured tabular datasets that git or git-lfs just falls flat on.
Would love anyone to kick the tires on it and let us know what you think:
https://github.com/Oxen-AI/oxen-release
The commands are mirrored after git so it is easy to learn, but optimized under the hood for larger datasets.
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Snakemake – A framework for reproducible data analysis
Super cool! Would love to see an integration with Oxen and their data version control https://github.com/Oxen-AI/oxen-release
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Ask HN: Data Management for AI Training
We have been working on a data version control tool called Oxen that is tackling many of your needs. Feel free to check it out here:
https://github.com/Oxen-AI/oxen-release#-oxen
Going down your list of requirements, Oxen has:
* Data versioning, similar paradigm to git, but built from the ground up for large ML datasets
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A tale of Phobos – how we almost cracked a ransomware using CUDA
We've been working on some open source tooling called "oxen" that was built for large datasets of images, video, audio, text etc. We wanted to solve the exact problem you're flagging here with git.
Feel free to check it out here https://github.com/Oxen-AI/oxen-release#-oxen would love any feedback!
- Oxen.ai: Fast Unstructured Data Version Control
- A versioning system for ML data sets
- Oxen - Version control for your machine learning datasets
What are some alternatives?
phobos-cuda-decryptor-poc
VFSForGit - Virtual File System for Git: Enable Git at Enterprise Scale
gpt-2-output-dataset - Dataset of GPT-2 outputs for research in detection, biases, and more
dvc - 🦉 ML Experiments and Data Management with Git
dud - A lightweight CLI tool for versioning data alongside source code and building data pipelines.
mandala - A powerful and easy to use Python framework for experiment tracking and incremental computing
dolt - Dolt – Git for Data
extremely-linear - Extremely Linear Git History // git-linearize
Oxen - Oxen.ai's core rust library, server, and CLI
make-booster - Utility routines to simplify using GNU make and Python
Grace - Grace Version Control System