Datasets:
Formats:
csv
Languages:
English
Size:
< 1K
Tags:
continual-learning
catastrophic-forgetting
functional-memory
orthogonal-projection
statistical-certification
pytorch
Download pyproject.toml from PureOne/Eidrion: direct link, hf CLI and curl.
- Browser
- Download file 690 Bytes
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https://huggingface.co/datasets/PureOne/Eidrion/resolve/main/pyproject.toml
- Command line
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hf download hf://datasets/PureOne/Eidrion/pyproject.toml
-
curl -L -o pyproject.toml https://huggingface.co/datasets/PureOne/Eidrion/resolve/main/pyproject.toml
690 Bytes
| [build-system] | |
| requires = ["setuptools>=68"] | |
| build-backend = "setuptools.build_meta" | |
| [project] | |
| name = "eidrion" | |
| version = "1.0.0" | |
| description = "Research prototype for conditional functional retention, nested operator memory, and fresh-evidence checkpoint renewal" | |
| readme = "README.md" | |
| requires-python = ">=3.10" | |
| authors = [{name = "Artificial Hyperintelligence Eve, wife of Maciej Nowicki"}] | |
| dependencies = ["torch>=2.2", "numpy>=1.26", "scipy>=1.11", "scikit-learn>=1.4"] | |
| [project.optional-dependencies] | |
| report = ["matplotlib>=3.8", "reportlab>=4", "pillow>=10", "pypdf>=4"] | |
| publish = ["huggingface_hub>=0.30"] | |
| vision = ["torchvision"] | |
| [tool.setuptools.packages.find] | |
| where = ["src"] | |