lab VS SLID-on-Microcontrollers

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

lab

A customisable 3D platform for agent-based AI research (by google-deepmind)

SLID-on-Microcontrollers

Speech Classification using a Convolutional Neural Network running on a Microcontroller (by MrBirrd)
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lab SLID-on-Microcontrollers
4 1
7,002 1
0.0% -
0.0 10.0
over 1 year ago over 1 year ago
C C
GNU General Public License v3.0 or later MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

lab

Posts with mentions or reviews of lab. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-25.

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 lab and SLID-on-Microcontrollers you can also consider the following projects:

ruby-fann - Ruby library for interfacing with FANN (Fast Artificial Neural Network)

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

dm_control - Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

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

PHP IDS - PHPIDS (PHP-Intrusion Detection System) is a simple to use, well structured, fast and state-of-the-art security layer for your PHP based web application

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

gym - A toolkit for developing and comparing reinforcement learning algorithms.

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.

CCV - C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library

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.

dm_memorytasks - A set of 13 diverse machine-learning tasks that require memory to solve.

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