Skip to main content

This allows for developing embedded machine learning models using Tensorflow-Lite Micro

Project description

Yizhu Technology ReRAM YZLite (YZLITE)

NOTICE:

This package is considered EXPERIMENTAL - YIZHU TECHNOLOGY DOES NOT OFFER ANY WARRANTIES AND DISCLAIMS ALL IMPLIED WARRANTIES CONCERNING THIS SOFTWARE. This package is made available as a self-serve reference supported only by the on-line documentation, and community support. There are no Yizhu Technology support services for this software at this time.

This is a Python package with command-line utilities and scripts to aid the development of machine learning models for Yizhu-Tech's embedded platforms.

See the YZLITE Overview for an overview of how the various features of the YZLITE are used to create machine learning models for embedded devices.

The features of this Python package include:

Installation

# Windows
pip  install yizhu-yzlite

# Linux
pip3 install yizhu-yzlite

Refer to Installation Guide for more details on how to install the YZLITE.

License

SPDX-License-Identifier: Zlib

The licensor of this software is Yizhu Technology Inc.

This software is provided 'as-is', without any express or implied warranty. In no event will the authors be held liable for any damages arising from the use of this software.

Permission is granted to anyone to use this software for any purpose, including commercial applications, and to alter it and redistribute it freely, subject to the following restrictions:

  1. The origin of this software must not be misrepresented; you must not claim that you wrote the original software. If you use this software in a product, an acknowledgment in the product documentation would be appreciated but is not required.
  2. Altered source versions must be plainly marked as such, and must not be misrepresented as being the original software.
  3. This notice may not be removed or altered from any source distribution.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

yizhu_yzlite-0.2.0.tar.gz (13.9 MB view details)

Uploaded Source

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

yizhu_yzlite-0.2.0-1763807141-cp310-cp310-macosx_11_0_arm64.whl (14.2 MB view details)

Uploaded CPython 3.10macOS 11.0+ ARM64

yizhu_yzlite-0.2.0-1763796016-cp310-cp310-macosx_11_0_arm64.whl (14.2 MB view details)

Uploaded CPython 3.10macOS 11.0+ ARM64

File details

Details for the file yizhu_yzlite-0.2.0.tar.gz.

File metadata

  • Download URL: yizhu_yzlite-0.2.0.tar.gz
  • Upload date:
  • Size: 13.9 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.9

File hashes

Hashes for yizhu_yzlite-0.2.0.tar.gz
Algorithm Hash digest
SHA256 1225e1d7789331f6fefb4b908d61c5aa5099ac6fbea095995f0da3d5e833a116
MD5 f90668eada1674282ad9433a510acdc4
BLAKE2b-256 14c27540bdd222092c1b368dd01a517ac1bcc4075818b15b3665ca216a466c78

See more details on using hashes here.

File details

Details for the file yizhu_yzlite-0.2.0-1763807141-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for yizhu_yzlite-0.2.0-1763807141-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 0f58a33bbd4810b5220f5033814a91b0445a7431c530def0542a1f224a57b602
MD5 4438d6f1840b97a5c07b18804d0e8d5f
BLAKE2b-256 650cae61538d35558b59a931c1bafbae3b6e4ac9ed0e413292c8e64f4a1a5fd8

See more details on using hashes here.

File details

Details for the file yizhu_yzlite-0.2.0-1763796016-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for yizhu_yzlite-0.2.0-1763796016-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 254b9524a9369d081f25dd4c2048d04d6f47aa2b9fbc206b4ed74d0342a3aa02
MD5 5a6eeddb7a7a8fbd902ffd760d407a74
BLAKE2b-256 610149d2f571517f9c22de6289f4a70230a405000fb5e34958310604ae4c7127

See more details on using hashes here.

Supported by

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