multithread-serial-logger
Simple multi-threaded logger with Qt5 GUI for embedded devices such as Arduino, ESP, STM32, etc, using standard UART. (by yeyee2901)
emlearn
Machine Learning inference engine for Microcontrollers and Embedded devices (by emlearn)
multithread-serial-logger | emlearn | |
---|---|---|
1 | 5 | |
4 | 424 | |
- | 4.8% | |
0.0 | 9.2 | |
over 2 years ago | 5 days ago | |
Python | Python | |
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.
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.
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.
multithread-serial-logger
Posts with mentions or reviews of multithread-serial-logger.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Pi Pico data logging to a PC
github repo
emlearn
Posts with mentions or reviews of emlearn.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-02.
-
EleutherAI announces it has become a non-profit
> My big gripe, and for obvious reasons, is that we need to step away from cloud-based inference, and it doesn't seem like anyone's working on that.
I think there are steps being taken in this direction (check out [1] and [2] for interesting lightweight transpile / ad-hoc training projects) but there is a lack of centralized community for these constrained problems.
[1] https://github.com/emlearn/emlearn
-
Simple and embedded friendly C code for Machine Learning inference algorithms
Examples: Gaussian Mixture Models (GMM) for anomaly detection or clustering Mahalanobis distance (EllipticEnvelope) for anomaly detection Decision trees and tree ensembles (Random Forest, ExtraTrees) Feed-forward Neural Networks (Multilayer Perceptron, MLP) for classification Gaussian Naive Bayes for classification
-
[D] Drop your best open source Deep learning related Project
https://github.com/emlearn/emlearn is a ML inference engine for microcontrollers and embedded systems, allowing to deploy models to any platform with a C99 compiler. Has also been used for network traffic analysis as a Linux kernel module, and embedded in Android apps.
-
Regression with the C64
The C64 has 64 kB of RAM. That is more than many contemporary microcontrollers. Using something like https://github.com/emlearn/emlearn allows to generate portable C code of ML models for such targets. Should be able to classify digits (MNIST) no problem on such hardware. Assuming there is a workable C compiler available.
Disclosure: Maintainer of emlearn project.
-
Ask HN: What are some tools / libraries you built yourself?
I built emlearn, a Machine Learning inference engine for microcontrollers and embedded systems. It allows converting traditional ML models to simple and portable C99, following best practices in embedded software (no dynamic allocations etc). https://github.com/emlearn/emlearn
What are some alternatives?
When comparing multithread-serial-logger and emlearn you can also consider the following projects:
Python-Data-Sampling-App - Data Sampling App from Serial to CSV file
miceforest - Multiple Imputation with LightGBM in Python