Search Results for "anpr using python"
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Showing 13 open source projects for "anpr using python"
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Stlite
n-browser Streamlit
Stlite is a WebAssembly-powered framework that enables Streamlit applications to run entirely in the browser without requiring a Python backend server. It achieves this by using Pyodide, a WebAssembly-based Python runtime, to execute Python code directly within the browser environment. This allows developers to build interactive data applications using familiar Streamlit APIs while eliminating the need for server-side infrastructure. Stlite supports a wide range of Python libraries and enables real-time interactivity, making it suitable for dashboards, data visualization tools, and educational applications. ... -
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JupyterLite
Wasm powered Jupyter running in the browser
JupyterLite is a browser-based distribution of the Jupyter ecosystem that enables interactive computing entirely within a web browser without requiring a backend server. Built using JupyterLab components and powered by WebAssembly technologies, it allows users to run Python and other language kernels directly in the browser through tools like Pyodide or Xeus. This architecture eliminates the need for installation or server infrastructure, making it highly accessible for education, demonstrations, and lightweight data science workflows. ... -
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Render Farm Deployment Kit on AWS (RFDK)
Library for use with the AWS Cloud Development Kit
The Render Farm Deployment Kit on AWS (RFDK) is an open-source software development kit (SDK) that can be used to deploy, configure, and manage your render farm infrastructure in the cloud. It offers high-level object-oriented abstractions to define render farm infrastructure using the power of Python and Typescript. The Render Farm Deployment Kit (RFDK) on AWS is an open-source software development kit that can be used to deploy, configure, and manage your render farm infrastructure in the cloud. The RFDK is built to operate with the AWS Cloud Development Kit (CDK) and provides a library of classes, called constructs, that each deploy and configure a component of your cloud-based render farm. ... -
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aws-prototyping-sdk
Contains useful CDK and Projen constructs vended in multiple languages
AWS Prototyping SDK (PDK) is a package that contains useful CDK and Projen constructs. This package is built using projen and nx. Any change to projects/* or .projenrc.ts requires a synth to be executed. The PDK contains a set of useful CDK and Projen constructs, vended in multiple languages. For packages marked experimental, please refer to the usage instruction contained within the respective package documentation. -
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5
jsii
jsii allows code in any language to naturally interact with JavaScript
...A class library written in TypeScript can be used in projects authored in TypeScript or Javascript (as usual), but also in C# (and other languages from the .NET family), Go, Java, Python, etc. More languages will be added in the future! Due to JSON marshaling costs and the absence of a distributed garbage collector feature, jsii modules are best suited for development and build tools, as opposed to performance-sensitive or resource-constrained applications. By compiling our source module using jsii, we can now package it as modules in one of the supported target languages. ... -
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AWS Toolkit for Visual Studio Code
Local Lambda debug, CodeWhisperer, SAM/CFN syntax, etc.
...It shows a top-level view of your CDK applications that have been synthesized in your workspace. Amazon CodeWhisperer provides inline code suggestions using machine learning and natural language processing on the contents of your current file. Supported languages include Java, Python and Javascript. -
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TensorFlow.js
TensorFlow.js is a library for machine learning in JavaScript
TensorFlow.js is a library for machine learning in JavaScript. Develop ML models in JavaScript, and use ML directly in the browser or in Node.js. Use off-the-shelf JavaScript models or convert Python TensorFlow models to run in the browser or under Node.js. Retrain pre-existing ML models using your own data. Build and train models directly in JavaScript using flexible and intuitive APIs. Tensors are the core datastructure of TensorFlow.js They are a generalization of vectors and matrices to potentially higher dimensions. Built on top of TensorFlow.js, the ml5.js library provides access to machine learning algorithms and models in the browser with a concise, approachable API. ... -
8
SST
Build serverless apps. Set breakpoints and test your functions locally
SST is an open-source serverless application platform that deploys to your AWS account, helping you go from idea to IPO. Work on your local Lambda functions lives, without mocking or redeploying your app. Higher-level CDK constructs are made specifically for building serverless apps. Manage the resources in your application with the SST Console. Traditionally, we’ve built and deployed web applications where we have some degree of control over the HTTP requests that are made to our server.... -
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tracecat
The open source Tines / Splunk SOAR alternative for security engineers
Tracecat is an open-source Tines / Splunk SOAR alternative for security engineers. We're building the features of Tines using enterprise-grade open-source tools. -
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10
TraceRoot
Find the Root Cause in Your Code's Trace
...AI agents operate over this structured view to summarize issues, pinpoint likely root causes, and even suggest actionable fixes or draft GitHub issues and pull requests. It offers interactive trace exploration with zoomable log clusters, span and latency views, and code-linked insights. Lightweight SDKs for Python and TypeScript enable seamless instrumentation using OpenTelemetry, with support for both self-hosted and cloud deployment. Human-in-the-loop interaction is central: developers can guide reasoning by selecting relevant spans or logs, then verify agent reasoning through traceable context. -
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TensorFlow.js models
Pretrained models for TensorFlow.js
...New models should have a test NPM script. You can run the unit tests for any of the models by running "yarn test" inside a directory. Use off-the-shelf JavaScript models or convert Python TensorFlow models to run in the browser or under Node.js. Build and train models directly in JavaScript using flexible and intuitive APIs. Develop ML models in JavaScript, and use ML directly in the browser or in Node.js. -
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Windows-Build-Tools
Install C++ Build Tools for Windows using npm
Windows-Build-Tools is a Node.js installer that provides a straightforward way to set up the necessary build tools on Windows, including the Visual C++ Build Tools and Python, facilitating the compilation of native Node.js modules. -
13
Oyente
An Analysis Tool for Smart Contracts
A container with the required dependencies configured can be found here. The image is however outdated. We are working on pushing the latest image to dockerhub for your convenience. If you experience any issues with this image, please try to build a new docker image by pulling this codebase before open an issue. A collection of the utilities that were developed for the paper are in misc_utils. Use them at your own risk - they have mostly been disposable. This is an improved version of the...
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