{"package": "mml-core", "summary": "This is the MML toolkit, targeting lifelong/continual/meta learning in Surgical Data Science.", "pypi_url": "https://pypi.org/project/mml-core", "piwheels_url": "https://www.piwheels.org/project/mml-core", "releases": {"1.0.4": {"released": "2025-05-02 22:31:06", "prerelease": false, "yanked": false, "skip_reason": "", "files": {}}, "1.0.3": {"released": "2025-03-25 15:40:57", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"mml_core-1.0.3-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/mml-core/mml_core-1.0.3-py3-none-any.whl", "filehash": "7d12f17ee009736d65ec3f4b987c3e845733f7298f1dd5b22e8ceacd9695cd8c", "filesize": 537890, "builder_abi": "cp311", "file_abi_tag": "none", "platform": "any", "requires_python": ">=3.8", "apt_dependencies": [], "pip_dependencies": ["albumentations", "colorama", "deprecated", "humanize", "hydra-colorlog", "hydra-core", "hydra-optuna-sweeper", "ijson", "jupyter", "kaggle", "kornia", "lightning", "matplotlib", "orjson", "p-tqdm", "pandas", "plotly", "prettytable", "psrcal", "pytest", "python-dotenv", "quapy", "rarfile", "rich", "scikit-image", "scikit-learn", "segmentation-models-pytorch", "setuptools", "statsmodels", "tensorboard", "torch", "torchmetrics", "torchvision"]}}}, "1.0.2": {"released": "2025-01-10 19:58:11", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"mml_core-1.0.2-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/mml-core/mml_core-1.0.2-py3-none-any.whl", "filehash": "f8ad8539f50758ff30932e9cf1d8c0efb3a040a490b6cf0a52c14fd8fcfdd89d", "filesize": 537813, "builder_abi": "cp311", "file_abi_tag": "none", "platform": "any", "requires_python": ">=3.8", "apt_dependencies": [], "pip_dependencies": ["albumentations", "colorama", "deprecated", "humanize", "hydra-colorlog", "hydra-core", "hydra-optuna-sweeper", "ijson", "jupyter", "kaggle", "kornia", "lightning", "matplotlib", "orjson", "p-tqdm", "pandas", "plotly", "prettytable", "psrcal", "pytest", "python-dotenv", "quapy", "rarfile", "rich", "scikit-image", "scikit-learn", "segmentation-models-pytorch", "setuptools", "statsmodels", "tensorboard", "torch", "torchmetrics", "torchvision"]}}}, "1.0.1": {"released": "2024-12-31 21:35:46", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"mml_core-1.0.1-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/mml-core/mml_core-1.0.1-py3-none-any.whl", "filehash": "60d93b4b72f5e8f95ff2e991b7dfc21df3bddcb23cec3756d0c475455e798365", "filesize": 537959, "builder_abi": "cp311", "file_abi_tag": "none", "platform": "any", "requires_python": ">=3.8", "apt_dependencies": [], "pip_dependencies": ["albumentations", "colorama", "deprecated", "humanize", "hydra-colorlog", "hydra-core", "hydra-optuna-sweeper", "ijson", "jupyter", "kaggle", "kornia", "lightning", "matplotlib", "orjson", "p-tqdm", "pandas", "plotly", "prettytable", "psrcal", "pytest", "python-dotenv", "quapy", "rarfile", "rich", "scikit-image", "scikit-learn", "segmentation-models-pytorch", "setuptools", "statsmodels", "tensorboard", "torch", "torchmetrics", "torchvision"]}}}, "1.0.0": {"released": "2024-12-31 20:43:40", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"mml_core-1.0.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/mml-core/mml_core-1.0.0-py3-none-any.whl", "filehash": "a2d950597967d20265428dba81c39b8585b1963c22c3b2da9b4c7b7fe1f68316", "filesize": 537939, "builder_abi": "cp311", "file_abi_tag": "none", "platform": "any", "requires_python": ">=3.8", "apt_dependencies": [], "pip_dependencies": ["albumentations", "colorama", "deprecated", "humanize", "hydra-colorlog", "hydra-core", "hydra-optuna-sweeper", "ijson", "jupyter", "kaggle", "kornia", "lightning", "matplotlib", "orjson", "p-tqdm", "pandas", "plotly", "prettytable", "psrcal", "pytest", "python-dotenv", "quapy", "rarfile", "rich", "scikit-image", "scikit-learn", "segmentation-models-pytorch", "setuptools", "statsmodels", "tensorboard", "torch", "torchmetrics", "torchvision"]}}}}}