Simplifying working with PyTorch
Project description
TorchEase is a Python package that simplifies working with PyTorch, a popular deep learning framework. It provides a set of easy-to-use tools for training, testing, and deploying machine learning models. TorchEase includes features like early stopping, model fusing, and model evaluation, among others, which help streamline the model development process. Additionally, TorchEase is designed to be highly modular, making it easy to integrate into existing PyTorch projects.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
TorchEase-0.0.26.tar.gz
(9.6 kB
view hashes)
Built Distribution
TorchEase-0.0.26-py3-none-any.whl
(12.0 kB
view hashes)
Close
Hashes for TorchEase-0.0.26-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9e30005379733b3e45329ff8b24a1cde872ee8d94bbb3b3419af4c0b6515e7f5 |
|
MD5 | 109a4b3fe3329d8fc68af843b11bf770 |
|
BLAKE2b-256 | fd0019636a3e05222c78c7a8cc65b5c81070fa97bf0380ed596d63791287929a |