Efficient training of deep recommenders on cloud.
Project description
HybridBackend is a training framework for deep recommenders which bridges gap between evolving cloud infrastructure and complex training process.
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 Distributions
No source distribution files available for this release.See tutorial on generating distribution archives.
Built Distribution
Close
Hashes for hybridbackend_cpu_legacy-0.5.1-cp36-cp36m-manylinux_2_24_x86_64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 4e652696d4cddcd39469d1dc437760ba33164cc89255af3174f1e7591e4ee38a |
|
| MD5 | 1714d80d15aa4e5137e5f8b7668f2569 |
|
| BLAKE2b-256 | 99e81977a719df53dc4e0f5a033088c936847a62828d7cf5d0443593bdef2296 |
