Search Results for "web find machine"
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Showing 470 open source projects for "web find machine"
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Slack Machine
A simple, yet powerful and extendable Slack bot
Slack Machine is a simple, yet powerful and extendable Slack bot framework. More than just a bot, Slack Machine is a framework that helps you develop your Slack workspace into a ChatOps powerhouse. Slack Machine is built with an intuitive plugin system that lets you build bots quickly but also allows for easy code organization. A plugin can look as simple as this: -
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OWASP Find Security Bugs
The SpotBugs plugin for security audits of Java web applications
The SpotBugs plugin for security audits of Java web applications. Find Security Bugs is the SpotBugs plugin for security audits of Java web applications. It can detect 141 different vulnerability types with over 823 unique API signatures. Cover popular frameworks including Spring-MVC, Struts, Tapestry and many more. Plugins are available for Eclipse, IntelliJ / Android Studio and NetBeans. -
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Synapse Machine Learning
Simple and distributed Machine Learning
SynapseML (previously MMLSpark) is an open source library to simplify the creation of scalable machine learning pipelines. SynapseML builds on Apache Spark and SparkML to enable new kinds of machine learning, analytics, and model deployment workflows. SynapseML adds many deep learning and data science tools to the Spark ecosystem, including seamless integration of Spark Machine Learning pipelines with the Open Neural Network Exchange (ONNX), LightGBM, The Cognitive Services, Vowpal Wabbit, and OpenCV. ... -
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Spotlight web application
Find random, interesting content from Reddit and Hacker News
Spotlight is a web application designed to help users discover interesting content from across the internet. It provides a simple interface to fetch random, curated links from Reddit's r/InternetIsBeautiful and Hacker News. -
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Iris Web Framework
The fastest community-driven web framework for Go
Iris is a fast, full-featured and futuristic web framework written in Go. It is by far the fastest HTTP/2 web framework ever crafted, is highly efficient yet simple. Iris provides a beautifully expressive and easy-to-use foundation for your next website, API or distributed app. Iris comes packed with Webassembly, Automatic HTTPS with Public Domain, MVC, Sessions, Caching, Versioning API, Problem API, Websocket, Dependency Injection and more. -
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Fluent UI Web
Collection of utilities andcomponents for building web applications
...Build your own apps using the same open source components we do, with accessibility, internationalization, and performance included. From tutorials to a fun collection of API references, find what you need to design and develop your own Fluent experience. From Word and Excel to PowerBI and Teams, many Microsoft apps utilize Fluent UI functionality. Fluent UI's robust, up-to-date web controls are built with the React framework. Look through the control list to see the building blocks that are available using Fluent UI React. ... -
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Opacus
Training PyTorch models with differential privacy
Opacus is a library that enables training PyTorch models with differential privacy. It supports training with minimal code changes required on the client, has little impact on training performance, and allows the client to online track the privacy budget expended at any given moment. Vectorized per-sample gradient computation that is 10x faster than micro batching. Supports most types of PyTorch models and can be used with minimal modification to the original neural network. Open source,... -
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The Apache Struts web framework
Mirror of Apache Struts
The Apache Struts web framework is a free open-source solution for creating Java web applications. Web applications differ from conventional websites in that web applications can create a dynamic response. Many websites deliver only static pages. A web application can interact with databases and business logic engines to customize a response. Web applications based on JavaServer Pages sometimes commingle database code, page design code, and control flow code. ... -
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ZAP
The OWASP ZAP core project
...ZAP provides automated scanners as well as a set of tools that allow you to find security vulnerabilities manually. It stands between the tester’s browser and the web application so that it can intercept and inspect messages sent between browser and web application. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Shynet
Modern, privacy-friendly, and detailed web analytics
Modern, privacy-friendly, and detailed web analytics that works without cookies or JS. There are a lot of web analytics tools. Unfortunately, most of them come with the following caveats. They require handing all of your visitors' info to a third-party company They use cookies to track visitors across sessions, so you need to have those annoying cookie notices. They collect so much personal data that even the NSA is jealous. -
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Fengari
The Lua VM written in JS ES6 for Node and the browser
The Lua VM written in JS ES6 for Node and the browser. This repository contains the core Fengari code (which is a port of the Lua C library) which includes parser, virtual machine, and base libraries. However, it is rare to use this repository directly. -
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ML.NET
Open source and cross-platform machine learning framework for .NET
With ML.NET, you can create custom ML models using C# or F# without having to leave the .NET ecosystem. ML.NET lets you re-use all the knowledge, skills, code, and libraries you already have as a .NET developer so that you can easily integrate machine learning into your web, mobile, desktop, games, and IoT apps. ML.NET offers Model Builder (a simple UI tool) and ML.NET CLI to make it super easy to build custom ML Models. These tools use Automated ML (AutoML), a cutting edge technology that automates the process of building best performing models for your Machine Learning scenario. ... -
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HFS (HTTP File Server)
HFS is a web file server to run on your computer
HFS is a lightweight HTTP file server for Windows that allows users to share files over the web easily, turning their local machine into a file server. -
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Gradio
Create UIs for your machine learning model in Python in 3 minutes
Gradio is the fastest way to demo your machine learning model with a friendly web interface so that anyone can use it, anywhere! Gradio can be installed with pip. Creating a Gradio interface only requires adding a couple lines of code to your project. You can choose from a variety of interface types to interface your function. Gradio can be embedded in Python notebooks or presented as a webpage. -
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WordPress for Android
WordPress for Android
If you're just looking to install WordPress for Android, you can find it on Google Play. If you're a developer wanting to contribute, read on. Inspiration strikes any time, anywhere. WordPress mobile apps put the power of publishing in your hands. And of course, they’re open source, just like WordPress. WordPress for Android lets you take the power to publish to the web with you. It is much more than a website builder. -
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Laravel Terminal
Runs artisan command in web application
Runs artisan command in web application. -
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lightning AI
The most intuitive, flexible, way for researchers to build models
...Lightning Apps are community-built templates that stitch together your favorite ML lifecycle tools into cohesive ML workflows that can run on your laptop or any cluster. Find templates (Lightning Apps), modify them and publish your own. Lightning Apps can even be full standalone ML products! Run on your laptop for free! Download the code and type 'lightning run app'. Feel free to ssh into any machine and run from there as well. In research, we often have multiple separate scripts to train models, finetune them, collect results and more. -
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Windows (Dockur)
Windows inside a Docker container
This project makes it surprisingly easy to run a Windows environment inside a Docker container by using a QEMU-based virtual machine under the hood. It provides a turnkey image and a simple set of environment variables so you can select Windows editions, control disk persistence, and access the VM via a web-based VNC console or similar remote viewers. Because the VM is wrapped in Docker, you can treat Windows as a disposable, repeatable service: create, snapshot with volumes, tear down, and rebuild with consistent results. ... -
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Goxygen
Generate a modern Web project with Go and Angular, React or Vue
Goxygen aims at saving your time while setting up a new project. It creates a skeleton of an application with all configurations done for you. You can start implementing your business logic straight away. Goxygen generates back-end Go code, connects it with front-end components, provides a Dockerfile for the application and creates docker-compose files for convenient run in development and production environments. By default, it will use React and MongoDB. You can select a different... -
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Ray
A unified framework for scalable computing
Modern workloads like deep learning and hyperparameter tuning are compute-intensive and require distributed or parallel execution. Ray makes it effortless to parallelize single machine code — go from a single CPU to multi-core, multi-GPU or multi-node with minimal code changes. Accelerate your PyTorch and Tensorflow workload with a more resource-efficient and flexible distributed execution framework powered by Ray. Accelerate your hyperparameter search workloads with Ray Tune. Find the best model and reduce training costs by using the latest optimization algorithms. ... -
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Deepchecks
Test Suites for validating ML models & data
Deepchecks is the leading tool for testing and for validating your machine learning models and data, and it enables doing so with minimal effort. Deepchecks accompany you through various validation and testing needs such as verifying your data’s integrity, inspecting its distributions, validating data splits, evaluating your model and comparing between different models. While you’re in the research phase, and want to validate your data, find potential methodological problems, and/or validate your model and evaluate it. ... -
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C/C++ for Visual Studio Code
Repository for the Microsoft C/C++ extension for VS Code
The C/C++ extension adds language support for C/C++ to Visual Studio Code, including features such as IntelliSense and debugging. C/C++ support for Visual Studio Code is provided by a Microsoft C/C++ extension to enable cross-platform C and C++ development on Windows, Linux, and macOS. C++ is a compiled language meaning your program's source code must be translated (compiled) before it can be run on your computer. VS Code is first and foremost an editor, and relies on command-line tools to... -
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txtai
Build AI-powered semantic search applications
txtai executes machine-learning workflows to transform data and build AI-powered semantic search applications. Traditional search systems use keywords to find data. Semantic search applications have an understanding of natural language and identify results that have the same meaning, not necessarily the same keywords. Backed by state-of-the-art machine learning models, data is transformed into vector representations for search (also known as embeddings). -
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satellite-image-deep-learning
Resources for deep learning with satellite & aerial imagery
...If you find this work useful please give it a star and consider sponsoring it. You can also follow me on Twitter and LinkedIn where I aim to post frequent updates on my new discoveries, and I have created a dedicated group on LinkedIn. I have also started a blog here and have published a post on the history of this repository called Dissecting the satellite-image-deep-learning repo. -
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Lumen Framework
The Laravel Lumen Framework
Laravel Lumen is a stunningly fast PHP micro-framework for building web applications with expressive, elegant syntax. We believe development must be an enjoyable, creative experience to be truly fulfilling. Lumen attempts to take the pain out of development by easing common tasks used in the majority of web projects, such as routing, database abstraction, queueing, and caching. The Lumen framework has a few system requirements.
