parse_it
omegaconf
Our great sponsors
parse_it | omegaconf | |
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- | 3 | |
107 | 1,788 | |
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7.2 | 6.8 | |
8 days ago | 29 days ago | |
Python | Python | |
GNU Lesser General Public License v3.0 only | BSD 3-clause "New" or "Revised" License |
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parse_it
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Tracking mentions began in Dec 2020.
omegaconf
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OmegaConf module not found: Deforum_Stable_Diffusion.ipynb
!pip install -e git+https://github.com/omry/omegaconf.git#egg=omegaconf
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What's the point of config files in another format?
OmegaConf is really easy to work with.
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Nicest and cleanest Deep Learning codebases out there
Thanks for sharing this, this is probably the best thing here. What makes Hydra really cool is the config system, which is done using OmegaConf (https://github.com/omry/omegaconf), and I especially enjoy the option of defining the configs using Python Data Classes.
What are some alternatives?
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.
pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]
ConfigParser
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
python-benedict - :blue_book: dict subclass with keylist/keypath support, built-in I/O operations (base64, csv, html, ini, json, pickle, plist, query-string, toml, xls, xml, yaml), s3 support and many utilities.
gybe - A simple YAML transpiler for rendering Kubernetes manifests using python type-hints.
dynaconf - Configuration Management for Python ⚙
jinsi - JSON/YAML homoiconic templating language
profig - A straightforward configuration library for Python.
xdgconfig - Easy access to ~/.config from python
ConfigObj - Python 3+ compatible port of the configobj library
pytorch_tempest - My repo for training neural nets using pytorch-lightning and hydra