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pyproject.toml 1.5 kB

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  1. [build-system]
  2. requires = ["setuptools"]
  3. build-backend = "setuptools.build_meta"
  4. [project]
  5. name = "ablkit"
  6. version = "0.2.2"
  7. authors = [
  8. { name="LAMDA 2024", email = "abductivelearning@gmail.com" },
  9. ]
  10. description = "Abductive Learning (ABL) toolkit"
  11. readme = "README.md"
  12. requires-python = ">=3.7.0"
  13. license = {text = "MIT LICENSE"}
  14. keywords = ["machine-learning", "framework", "abductive-learning", "neuro-symbolic"]
  15. classifiers = [
  16. "Development Status :: 5 - Production/Stable",
  17. "Intended Audience :: Science/Research",
  18. "Intended Audience :: Developers",
  19. "License :: OSI Approved :: MIT License",
  20. "Programming Language :: Python",
  21. "Topic :: Scientific/Engineering :: Artificial Intelligence",
  22. "Topic :: Software Development",
  23. "Operating System :: POSIX :: Linux",
  24. "Operating System :: Microsoft :: Windows",
  25. "Operating System :: MacOS :: MacOS X",
  26. "Programming Language :: Python :: 3.7",
  27. "Programming Language :: Python :: 3.8",
  28. "Programming Language :: Python :: 3.9",
  29. "Programming Language :: Python :: 3.10",
  30. "Programming Language :: Python :: 3.11",
  31. ]
  32. dependencies = [
  33. "numpy>=1.15.0",
  34. "pyswip==0.2.9",
  35. "torch>=1.11.0",
  36. "torchvision>=0.12.0",
  37. "zoopt>=0.3.0",
  38. "termcolor>=2.3.0"
  39. ]
  40. [project.urls]
  41. Homepage = "https://github.com/AbductiveLearning/ABLkit"
  42. Issues = "https://github.com/AbductiveLearning/ABLkit/issues"
  43. [project.optional-dependencies]
  44. test = [
  45. "pytest-cov",
  46. "black==22.10.0",
  47. ]

An efficient Python toolkit for Abductive Learning (ABL), a novel paradigm that integrates machine learning and logical reasoning in a unified framework.