Search Results for "web find machine"
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Showing 1279 open source projects for "web find machine"
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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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Web Archives
Browser extension for viewing archived and cached versions of websites
Browser extension for viewing archived and cached versions of web pages, available for Chrome, Edge and Safari. Web Archives is a browser extension that enables you to find archived and cached versions of web pages, and comes with support for more than 10 search engines. Searches can be initiated from the context menu and the browser toolbar. A diverse set of archive and cache sources are supported, which can be toggled and reordered from the extension's options. ... -
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WebLLM
Bringing large-language models and chat to web browsers
WebLLM is a modular, customizable javascript package that directly brings language model chats directly onto web browsers with hardware acceleration. Everything runs inside the browser with no server support and is accelerated with WebGPU. We can bring a lot of fun opportunities to build AI assistants for everyone and enable privacy while enjoying GPU acceleration. WebLLM offers a minimalist and modular interface to access the chatbot in the browser. The WebLLM package itself does not come... -
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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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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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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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Tabby Web
An SSH/Telnet/Serial client in your browser
...This separation enables multi-user deployments with persistent settings, role-based access, and storage backends for artifacts. It’s useful for organizations that need managed remote access from within a web portal, without installing a full desktop client on every machine. With its focus on admin ergonomics and end-user UX, Tabby Web turns terminal access into a managed, auditable, and scalable web application. -
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ml.js
Machine learning tools in JavaScript
This library is a compilation of the tools developed in the mljs organization. It is mainly maintained for use in the browser. If you are working with Node.js, you might prefer to add to your dependencies only the libraries that you need, as they are usually published to npm more often. We prefix all our npm package names with ml- (eg. ml-matrix) so they are easy to find. -
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Interactive Machine Learning Experiments
Interactive Machine Learning experiments
...The models are typically trained in Python using TensorFlow and then exported for interactive demonstrations in a web environment using JavaScript and TensorFlow.js. Because the project focuses on experimentation rather than production systems, it acts as a sandbox where developers can explore machine learning concepts and observe model behavior. The notebooks reveal how each model is trained and provide opportunities to modify parameters or datasets to observe different outcomes. -
Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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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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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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Docspell
Assist in organizing your piles of documents
...It is targeted for home use, i.e. families, households, and also for smaller groups/companies. You can associate tags, set correspondent,s and lots of other predefined and custom metadata. If your documents are associated with such metadata, you can quickly find them later using the search feature. However adding this manually is a tedious task. Docspell can help by suggesting correspondents, guessing tags or finding dates using machine learning. It can learn metadata from existing documents and find things using NLP. This makes adding metadata to your documents a lot easier. For machine learning, it relies on the free (GPL) Stanford Core NLP library. -
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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. -
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buku
Personal mini-web in text
buku is a powerful bookmark manager and a personal textual mini-web. For those who prefer the GUI, bukuserver exposes a browsable front-end on a local web host server. When I started writing it, I couldn't find a flexible command-line solution with a private, portable, merge-able database along with seamless GUI integration. Hence, buku. buku can import bookmarks from the browser(s) or fetch the title, tags and description of a URL from the web. -
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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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DVWA
PHP/MySQL web application
Damn Vulnerable Web App (DVWA) is a PHP/MySQL web application that is damn vulnerable. Its main goals are to be an aid for security professionals to test their skills and tools in a legal environment, help web developers better understand the processes of securing web applications and aid teachers/students to teach/learn web application security in a classroom environment. -
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TPOT
A Python Automated Machine Learning tool that optimizes ML
Consider TPOT your Data Science Assistant. TPOT is a Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming. TPOT stands for Tree-based Pipeline Optimization Tool. Consider TPOT your Data Science Assistant. TPOT is a Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming. -
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Lance
Modern columnar data format for ML and LLMs implemented in Rust
Lance is a columnar data format that is easy and fast to version, query and train on. It’s designed to be used with images, videos, 3D point clouds, audio and of course tabular data. It supports any POSIX file systems, and cloud storage like AWS S3 and Google Cloud Storage. -
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Orion
A machine learning library for detecting anomalies in signals
Orion is a machine-learning library built for unsupervised time series anomaly detection. Such signals are generated by a wide variety of systems, few examples include telemetry data generated by satellites, signals from wind turbines, and even stock market price tickers. We built this to provide one place where users can find the latest and greatest in machine learning and deep learning world including our own innovations. -
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Open Notebook
An Open Source implementation of Notebook LM with more flexibility
Open Notebook is an open-source, privacy-focused alternative to Google’s Notebook LM that gives users full control over their research and AI workflows. Designed to be self-hosted, it ensures complete data sovereignty by keeping your content local or within your own infrastructure. The platform supports 16+ AI providers—including OpenAI, Anthropic, Ollama, Google, and LM Studio—allowing flexible model choice and cost optimization. Open Notebook enables users to organize and analyze... -
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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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HDBSCAN
A high performance implementation of HDBSCAN clustering
HDBSCAN - Hierarchical Density-Based Spatial Clustering of Applications with Noise. Performs DBSCAN over varying epsilon values and integrates the result to find a clustering that gives the best stability over epsilon. This allows HDBSCAN to find clusters of varying densities (unlike DBSCAN), and be more robust to parameter selection. In practice this means that HDBSCAN returns a good clustering straight away with little or no parameter tuning -- and the primary parameter, minimum cluster... -
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Karpathy
An agentic Machine Learning Engineer
karpathy is an experimental agentic machine learning engineer framework designed to automate many aspects of the ML development workflow. The project sets up a sandboxed environment where an AI agent can access datasets, run experiments, and generate machine learning artifacts through a web interface. Its startup script automatically prepares the environment by creating a sandbox directory, installing key ML libraries, and launching the agent interface. -
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Shannon
Fully autonomous AI hacker to find actual exploits in your web apps
Shannon is an autonomous AI penetration testing system built to find and prove real, exploitable vulnerabilities in web applications rather than stopping at static warnings or best-guess alerts. It focuses on “proof by exploitation,” meaning it actively hunts for attack vectors in your code and then attempts to execute end-to-end exploits to demonstrate impact. The project blends source-aware analysis with automated web interaction so it can validate issues like injection flaws, authentication bypasses, and other exploitable paths in a way that resembles an actual attacker’s workflow. ... -
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Python Code Tutorials
The Python Code Tutorials
Python Code Tutorials is a large educational repository that aggregates programming tutorials from the “The Python Code” website into a structured collection of Python projects and learning materials. The repository covers a wide range of programming topics including cybersecurity, networking, web scraping, machine learning, GUI development, and automation scripts. Each tutorial typically includes complete Python code examples and explanations that demonstrate how to build real tools and applications step by step. Many tutorials focus on practical implementations such as building network scanners, web scraping tools, object detection systems, and automation utilities using Python libraries. ...
