CNNGestureRecognizer
emlearn
| CNNGestureRecognizer | emlearn | |
|---|---|---|
| 1 | 5 | |
| 953 | 378 | |
| - | 4.8% | |
| 0.0 | 9.2 | |
| about 1 year ago | 30 days ago | |
| Python | Python | |
| MIT License | MIT License |
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.
CNNGestureRecognizer
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Computer Science Engineering marks matter avutunda?
i dont wanna discourge but to be honest ave projects anaru tutorials antaru theyre like tutorials codes which beginners does . niku nijanga interest unte python you will get to learn about computer vision , data science etc related stuff where python is mostly used and it has much support for libraries . bro frank ga cheptuna no one cares or give a shit about marks , gpa . niku interest undali thats it ade unte last ki nuve achieve avutav . and python lo denini projects kinda consider chestaru ante https://github.com/asingh33/CNNGestureRecognizer , https://github.com/tomguluson92/StyleGAN_PyTorch elantivi . nenu suggest chesidi enti ante nuvu aa tutorial hell nundi baitiki vochi own ga try cheyu and think of where python is how its used . i will link a few channels which you can find them interesting and useful for your interests https://www.youtube.com/c/K%C3%A1rolyZsolnai , https://www.youtube.com/user/Zan560 , https://www.youtube.com/channel/UC4UJ26WkceqONNF5S26OiVw . best of luck
emlearn
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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
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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
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[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.
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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.
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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?
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sklearn-project-template - Machine learning template for projects based on sklearn library.
experta - Expert Systems for Python
gutenberg - A fast static site generator in a single binary with everything built-in. https://www.getzola.org
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GoJS, a JavaScript Library for HTML Diagrams - JavaScript diagramming library for interactive flowcharts, org charts, design tools, planning tools, visual languages.
Zip Foundation - Effortless ZIP Handling in Swift