Factual package intelligence from PyPI
Easily build PyTorch models: utils for training/testing, built-in ANN, CNN, RNN models, modular Dense and Convolutional blocks, etc.
pip install eznet-torch
PyPI declares 4 unique dependency rules for this release. Environment markers are shown when supplied by the project.
eznet-torch publishes 1 wheel and 1 source archive for version 0.0.1. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .