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-0.2.7.tar.gz (14.0 MB view details)

Uploaded Source

Built Distribution

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

yizhu_yzlite-0.2.7-1763814686-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-0.2.7.tar.gz.

File metadata

  • Download URL: yizhu_yzlite-0.2.7.tar.gz
  • Upload date:
  • Size: 14.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.9

File hashes

Hashes for yizhu_yzlite-0.2.7.tar.gz
Algorithm Hash digest
SHA256 fbfec93c4232284172039c0069fbae2aaedaab49f580242c929c0d084741ca18
MD5 02dc40599cf52beebbccb3389ec35793
BLAKE2b-256 6322340dc486759f6660c834f19cbbe741c2219bb1f1299752c8b4acc397cc92

See more details on using hashes here.

File details

Details for the file yizhu_yzlite-0.2.7-1763814686-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for yizhu_yzlite-0.2.7-1763814686-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 40338a83c387c63a42d0ae5a2ebfe69164213fbfd3d03601da2a8f4346c8f679
MD5 79d21e7eba6aee975066d683e50813b8
BLAKE2b-256 49d592d9b5524c2914b894591d70036c1d9a7d78f46278e15676ceac51b334cd

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