| [tool.poetry] | |
| name = "verida-differential-privacy" | |
| version = "0.1.0" | |
| description = "A demonstration of using the PyTorch differential privacy library and a login DiD" | |
| authors = ["snyata <[email protected]>"] | |
| license = "MIT" | |
| readme = "README.md" | |
| [tool.poetry.dependencies] | |
| python = "^3.10" | |
| pydantic = "^2.8.2" | |
| wandb = "^0.17.7" | |
| python-dotenv = "1.0.0" | |
| ipykernel = "6.29.5" | |
| datasets = "^2.21.0" | |
| didkit = "^0.3.3" | |
| scikit-learn = "^1.5.1" | |
| matplotlib = "^3.9.2" | |
| seaborn = "^0.13.2" | |
| [tool.poetry.group.dev.dependencies] | |
| pytest = "8.3.2" | |
| pip-tools = "^7.4.1" | |
| isort = "^5.13.2" | |
| datasets = "^2.21.0" | |
| jupyter = "^1.0.0" | |
| [build-system] | |
| requires = ["poetry-core"] | |
| build-backend = "poetry.core.masonry.api" | |