gin-config
spock
| gin-config | spock | |
|---|---|---|
| 3 | 12 | |
| 1,994 | 115 | |
| 0.6% | 1.7% | |
| 4.6 | 7.0 | |
| 3 months ago | 6 months ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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gin-config
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hydra VS gin-config - a user suggested alternative
2 projects | 5 Jul 2022
Lightweight configuration framework for Python (created and maintained by Google) - Good combination of "easy to use" and "expressive API" - Directed support for TensorFlow and PyTorch - Maintained by Google
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Equivalent framework as Gin for PyTorch
Hi, does any of you know is there is an equivalent of this framework (https://github.com/google/gin-config) for PyTorch?
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[D] Tools to avoid writing tons of scripts
GinConfig
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
What are some alternatives?
dynaconf - Configuration Management for Python ⚙
dvc - 🦉 ML Experiments and Data Management with Git
fora - A simple infrastructure and configuration management tool
strictyaml - Type-safe YAML parser and validator.
ConfZ - ConfZ is a configuration management library for Python based on pydantic.
reference-finder - Matches PDFs to sentences in text or docx file
python-dotenv - Reads key-value pairs from a .env file and can set them as environment variables. It helps in developing applications following the 12-factor principles.
labml - 🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
SaltStack - Software to automate the management and configuration of any infrastructure or application at scale. Get access to the Salt software package repository here:
traitlets - A lightweight Traits like module
hydra - Hydra is a framework for elegantly configuring complex applications
tune-sklearn - A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.