Skip to main content

The Zetane Engine

Project description

Zetane Engine is a 3D environment for exploring machine learning algorithms visually. Send your input, model state, and outputs at the same time to a visualization to get context on what is happening. Use breakpoints to visually debug scripts and models, record data and model internals, and share data + model packages with other users.

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 Distributions

zetane_engine-1.7.4-cp39-cp39-win_amd64.whl (3.4 MB view details)

Uploaded CPython 3.9 Windows x86-64

zetane_engine-1.7.4-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (19.9 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.12+ x86-64 manylinux: glibc 2.5+ x86-64

zetane_engine-1.7.4-cp39-cp39-macosx_10_14_x86_64.whl (4.5 MB view details)

Uploaded CPython 3.9 macOS 10.14+ x86-64

zetane_engine-1.7.4-cp38-cp38-win_amd64.whl (3.4 MB view details)

Uploaded CPython 3.8 Windows x86-64

zetane_engine-1.7.4-cp38-cp38-macosx_10_14_x86_64.whl (4.4 MB view details)

Uploaded CPython 3.8 macOS 10.14+ x86-64

File details

Details for the file zetane_engine-1.7.4-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for zetane_engine-1.7.4-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 7d06fbcba52686ea1eb36245603a71994cc0dbfaaa130c1f3f26751debb4f9b0
MD5 c48bd88f2f290790e124272cf3b44861
BLAKE2b-256 be64c8a32662d9d787b98b26e1266322b0520396ae9366f164b92c577d2a09d9

See more details on using hashes here.

File details

Details for the file zetane_engine-1.7.4-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for zetane_engine-1.7.4-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 d959517758792c0b03bf0f7a03652ef344d5a08e0f085202f2045a9079b523bd
MD5 05f2b809237b02af9e0ba6b2f5b1d4cd
BLAKE2b-256 76d033edc96fa3f4132e706c4fd6bc1d6f0391b77de79eaf7902de2e66483b03

See more details on using hashes here.

File details

Details for the file zetane_engine-1.7.4-cp39-cp39-macosx_10_14_x86_64.whl.

File metadata

File hashes

Hashes for zetane_engine-1.7.4-cp39-cp39-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 8a1586a9607f52497f1c9b4332d6c23c705eee7d068c8d62d478b99f60ddf698
MD5 6d688c227e14e698234d40197864535f
BLAKE2b-256 87f923d0e894b3405e69344d94e078057f2339d7b30bc6cec50c8b2ccff7ae6a

See more details on using hashes here.

File details

Details for the file zetane_engine-1.7.4-cp38-cp38-win_amd64.whl.

File metadata

File hashes

Hashes for zetane_engine-1.7.4-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 720a9f3e4948666cfb1b1014c82a5abe9fffc8c393d03da7807ee35cdfa35b3b
MD5 f9fb7baee8a50b92b38f296fa44d77bd
BLAKE2b-256 95c6154b7e36f04fc27a4ce641980417324daf6e77dadcf68ab997159bb33538

See more details on using hashes here.

File details

Details for the file zetane_engine-1.7.4-cp38-cp38-macosx_10_14_x86_64.whl.

File metadata

File hashes

Hashes for zetane_engine-1.7.4-cp38-cp38-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 24f146851b9588baf7d0d4299cf5c1d4cbc35387b8ffbb7df48ccc2eb6363db7
MD5 764e70b1860dee4efd6d4a7d890bee3c
BLAKE2b-256 7d054fe5cf3bd1561a89a32194cdb2fad170cd62c19233d128f47272e89bc028

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