pyTsetlinMachine VS SLID-on-Microcontrollers

Compare pyTsetlinMachine vs SLID-on-Microcontrollers and see what are their differences.

pyTsetlinMachine

Implements the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, Weighted Tsetlin Machine, and Embedding Tsetlin Machine, with support for continuous features, multigranularity, clause indexing, and literal budget (by cair)

SLID-on-Microcontrollers

Speech Classification using a Convolutional Neural Network running on a Microcontroller (by MrBirrd)
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pyTsetlinMachine SLID-on-Microcontrollers
1 1
122 1
1.6% -
5.8 10.0
2 months ago over 1 year ago
C C
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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pyTsetlinMachine

Posts with mentions or reviews of pyTsetlinMachine. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-01.

SLID-on-Microcontrollers

Posts with mentions or reviews of SLID-on-Microcontrollers. We have used some of these posts to build our list of alternatives and similar projects.
  • Train and run a neural network on an STM32 using Tensorflow-Lite
    1 project | /r/microcontrollers | 19 Nov 2022
    For a university project we had to come up with a simple project idea that uses machine learning on microcontrollers. We decided to go on spoken language identification, which means our board records your voice and classifies the spoken language after recording 10 seconds of audio with the onboard microphone. You can find the project on my github.

What are some alternatives?

When comparing pyTsetlinMachine and SLID-on-Microcontrollers you can also consider the following projects:

MLJ.jl - A Julia machine learning framework

adorad - Fast, Expressive, & High-Performance Programming Language for those who dare

TsetlinMachine - Code and datasets for the Tsetlin Machine

tinyengine - [NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning; [NeurIPS 2022] MCUNetV3: On-Device Training Under 256KB Memory

Tribuo - Tribuo - A Java machine learning library

lab - A customisable 3D platform for agent-based AI research

rpart - Recursive Partitioning and Regression Trees

Nerve - This is a basic implementation of a neural network for use in C and C++ programs. It is intended for use in applications that just happen to need a simple neural network and do not want to use needlessly complex neural network libraries.

pycaret - An open-source, low-code machine learning library in Python

tevr-asr-tool - State-of-the-art (ranked #1 Aug 2022) German Speech Recognition in 284 lines of C++. This is a 100% private 100% offline 100% free CLI tool.

willow - Open source, local, and self-hosted Amazon Echo/Google Home competitive Voice Assistant alternative