Skip to main content

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.

Project details


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

hybridbackend_cpu_legacy-0.5.2-cp36-cp36m-manylinux_2_24_x86_64.whl (18.7 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.24+ x86-64

File details

Details for the file hybridbackend_cpu_legacy-0.5.2-cp36-cp36m-manylinux_2_24_x86_64.whl.

File metadata

File hashes

Hashes for hybridbackend_cpu_legacy-0.5.2-cp36-cp36m-manylinux_2_24_x86_64.whl
Algorithm Hash digest
SHA256 61714784f09e0e3fcfac298df111a91b6c083ca548483005c399a50c19409ff0
MD5 d970666080c70308e135eb940d168398
BLAKE2b-256 f545cec8135f7271d3a2f5fb28ac7bf140a9571a0d360168fda2721ef14d6485

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page