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Showing 8 open source projects for "som"
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$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
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$300 Free Credits to Build on Google CloudStart your next project with $300 in free Google Cloud credit. Spin up VMs, run containers, query petabytes in BigQuery, or build agents with Gemini Enterprise Agent Platform. Once your credits are used, keep building with 20+ always-free tier products including Compute Engine, Cloud Storage, GKE, and Cloud Run functions. No commitment required—just sign up and start building.
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MiniSom
MiniSom is a minimalistic implementation of the Self Organizing Maps
MiniSom is a minimalistic and Numpy-based implementation of the Self Organizing Maps (SOM). SOM is a type of Artificial Neural Network able to convert complex, nonlinear statistical relationships between high-dimensional data items into simple geometric relationships on a low-dimensional display. Minisom is designed to allow researchers to easily build on top of it and to give students the ability to quickly grasp its details. -
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Self-Operating Computer
A framework to enable multimodal models to operate a computer
...Notably, it was the first known project to implement a multimodal model capable of viewing and controlling a computer screen. The framework supports features like Optical Character Recognition (OCR) and Set-of-Mark (SoM) prompting to enhance visual grounding capabilities. It is designed to be compatible with macOS, Windows, and Linux (with X server installed), and is released under the MIT license. -
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Neural Networks Collection
Neural Networks Collection
This project implements in C++ a bunch of known Neural Networks. So far the project implements: LVQ in several variants, SOM in several variants, Hopfield network and Perceptron. Other neural network types are planned, but not implemented yet. The project can run in two modes: command line tool and Python 7.2 extension. Currently, Python version appears more functional, as it allows easy interaction with algorithms developed by other people. -
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Ljudmiljö i Stationssamhällen
Simulering av åtgärder mot buller från järnväg
En demonstrator av ett verktyg som simulerar åtgärder mot buller från järnväg. Demonstratorn är utvecklad inom projektet "God ljudmiljö i stationssamhällen - Verktygslåda och exempel till nytta för klimat, hälsa och resurseffektivitet" som bedrevs inom ramen för MISTRA Urban Futures med finansiering från programkontoret inom det strategiska innovationsprogrammet InfraSweden2030 genom Vinnova, samt från Västra Götalands regionen och Trafikverket. -
Error to trace to log to deploy. One click. No SSH.AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
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Stationsnara
Simulering av åtgärder mot buller från järnväg
En demonstratar av ett verktyg som simulerar åtgärder mot buller från järnväg. -
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Py2Bin
compile python script file to standeloune binary file (MacOs 10.6 + )
Py2Bin is an application for MacOs X 10.6 or later, this application compile and bluid a standeloune executable binary file from a .py python script file. The result of the compilation can be execute without the python programe This application is submite under GPL pulic licence If you need som information of if ou have a problem with this application please wrtite to m.houbad@gmail.com Py2Bin use Pyinstaller as compiler -
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Neural Libs
Neural network library for developers
This project includes the implementation of a neural network MLP, RBF, SOM and Hopfield networks in several popular programming languages. The project also includes examples of the use of neural networks as function approximation and time series prediction. Includes a special program makes it easy to test neural network based on training data and the optimization of the network. -
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Detta är ett projekt som arbetar med att utveckla ett inställningsprogram för EeePCn. Idagsläget så är det endast anpassat för 900 modellen.
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