spock
PyDGN
spock | PyDGN | |
---|---|---|
12 | 1 | |
115 | 213 | |
1.7% | - | |
7.0 | 7.8 | |
6 months ago | 14 days ago | |
Python | Python | |
Apache License 2.0 | BSD 3-clause "New" or "Revised" License |
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spock
- Managing complex configurations any other way would be highly illogical
- [D] Alternatives to fb Hydra?
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Why you should use Data Classes in Python
(Note: I wrote a library called spock that was originally based on dataclasses and then shifted to attrs. In the end attrs was just the better and more fully fledged library for what I needed so I’ve always preferred attrs over dataclasses since then)
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Is Spock-Config the only tool that integrates object-oriented config files and command-line interfaces?
Spock-Config allows one to create OO configuration files. That's how I roll. I currently use PYdantic settings and it's great. But it does not offer command-line re-configuration of what you have in the OO config file.
- My first Python project: reference finder
- Python 3.11 will now have tomllib - Support for Parsing TOML in the Standard Library
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Spock - Managing complex configurations any other way would be highly illogical...
Check out more in the docs or on GitHub
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[D] I'm new and scrappy. What tips do you have for better logging and documentation when training or hyperparameter training?
We wrote Spock which actually sits in the middle ground between Hydra and OmegaConf (I’m of the same opinion that Hydra does a little too much feature wise). You can do hierarchical composition within the markdown of any JSON, YAML, or TOML files by simply using the config argument. No code needed to merge. Docs are here if you’re interested.
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[D] Tools to avoid writing tons of scripts
Spock
PyDGN
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[D] Tools to avoid writing tons of scripts
If you are interested in Machine Learning for graphs (but I guess it can be easily extended to other kinds of data as well) you could check out https://github.com/diningphil/PyDGN
What are some alternatives?
gin-config - Gin provides a lightweight configuration framework for Python
dvc - 🦉 ML Experiments and Data Management with Git
vectory - Vectory provides a collection of tools to track and compare embedding versions.
strictyaml - Type-safe YAML parser and validator.
reference-finder - Matches PDFs to sentences in text or docx file
labml - 🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
traitlets - A lightweight Traits like module
tune-sklearn - A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
tomli - A lil' TOML parser
argbind - Simple package for binding functions to CLI or config files.
starlark - Starlark Language