Factual package intelligence from PyPI
Deep reinforcement learning framework for fast prototyping based on PyTorch
pip install actorch
PyPI declares 47 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.3.0>=0.4.3>=1.4.0>=0.26.1>=1.19.5>=5.7.0>=5.3.1<2.*,>=1.13.0>=1.4.1>=2.6.0>=1.12.0The compact report shows 25 of 47 declarations. The interactive dependency graph loads the complete metadata.
actorch publishes 14 wheels and 1 source archive for version 0.0.5. Wheel platform tags: manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686, manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.
Declared Python classifiers: 3.10, 3.6, 3.7, 3.8, 3.9.
PyPI lists 5 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .