Search Results for "detection" - Page 30
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Showing 1991 open source projects for "detection"
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grab-site
Web crawler for archiving and backing up sites into WARC archives
...Users can dynamically apply ignore patterns during an active crawl, allowing them to skip problematic or unnecessary URLs that could slow down or block the archiving process. grab-site also provides predefined ignore sets for common site structures such as forums and other complex web platforms. Additional mechanisms like duplicate page detection help avoid re-crawling identical content. -
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Discord Mass DM GO
The most popular Discord selfbot written in GO
...Compatible with all major OS and Architectures. Proxyless. Supports HTTP(s), SOCKS5 and SOCKS4 proxies. Free & Open source. Emulates Discord's requests to a very high accuracy to prevent detection. Highly Documented. Multi-threaded using Light-weight Goroutines supporting thousands of concurrent accounts. Can Receieve messages during mass DM. Can ping user. Can send embeds using 3rd Party APIs. Supports multiple messages. -
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Hello AI World
Guide to deploying deep-learning inference networks
Hello AI World is a great way to start using Jetson and experiencing the power of AI. In just a couple of hours, you can have a set of deep learning inference demos up and running for realtime image classification and object detection on your Jetson Developer Kit with JetPack SDK and NVIDIA TensorRT. The tutorial focuses on networks related to computer vision, and includes the use of live cameras. You’ll also get to code your own easy-to-follow recognition program in Python or C++, and train your own DNN models onboard Jetson with PyTorch. Ready to dive into deep learning? ... -
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Resize Observer
Polyfills the ResizeObserver API
A minimal library which polyfills the ResizeObserver API and is entirely based on the latest Specification. It immediately detects when an element resizes and provides accurate sizing information back to the handler. Check out the Example Playground for more information on usage and performance. The latest Resize Observer specification is not yet finalised and is subject to change. Any drastic changes to the specification will bump the major version of this library, as there will likely be... -
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Angular Performance Checklist
Cheatsheet for developing lightning fast progressive Angular apps
...It outlines actionable recommendations — from bundling and minification, tree-shaking, lazy loading, ahead-of-time (AoT) compilation, resource prefetching, caching and compression, to runtime strategies like change-detection optimization (OnPush, detaching change detectors), minimizing DOM operations, optimizing templates, using pure pipes, minimizing watchers, and more. The checklist is designed to be framework-agnostic in many parts, but especially valuable for Angular developers wanting to build responsive, fast-loading, efficient single-page applications. -
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Darknet
Convolutional Neural Networks
Darknet is an open source neural network framework written in C and CUDA, developed by Joseph Redmon. It is best known as the original implementation of the YOLO (You Only Look Once) real-time object detection system. Darknet is lightweight, fast, and easy to compile, making it suitable for research and production use. The repository provides pre-trained models, configuration files, and tools for training custom object detection models. With GPU acceleration via CUDA and OpenCV integration, it achieves high performance in image recognition tasks. ... -
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nussknacker
Real-time actions on data. A building block for low-code applications
...Nussknacker is a low-code visual tool for domain experts to define and run real-time decisioning algorithms instead of implementing them in the code. It serves where real-time actions on data have to be made: real-time marketing, fraud detection, Internet of Things, Customer 360, and Machine Learning inferring. An essential part of Nussknacker is a visual design tool for decision algorithms. It allows not-so-technical users – analysts or business people – to define decision logic in an imperative, easy-to-follow, and understandable way. Once authored, with a click of a button, scenarios are deployed for execution. ... -
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Official YOLOv7
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art
...It supports multiple model sizes and related tasks such as object detection and instance segmentation through associated branches or weights. It is useful for researchers, engineers, and developers building detection systems for video, edge devices, robotics, analytics, and industrial vision. -
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YOLOV4 Pytorch
This is a source code for YoloV4-pytorch that can be used to train you
YOLOV4 Pytorch is a PyTorch implementation of the YOLOv4 object detection model for training and running custom detection systems. The repository is structured around practical workflows, including training, prediction, evaluation, anchor generation, model configuration, and dataset annotation utilities. It supports VOC-style datasets and includes scripts for prediction, mAP evaluation, FPS testing, video prediction, batch prediction, and heatmap generation. -
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dupeGuru
Find duplicate files
dupeGuru is a cross-platform GUI application written in Python (with Qt/Cocoa UI) that quickly detects duplicate files on your computer using flexible scanning modes—including filename fuzzy matching, content comparison, and specialized Music/Picture modes. On some linux systems pyrcc5 is not put on the path when installing python3-pyqt5, this will cause some issues with the resource files (and icons). These systems should have a respective pyqt5-dev-tools package, which should also be... -
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OneForAll
OneForAll is a powerful subdomain collection tool
...The tool is particularly notable for incorporating many Chinese data sources that are often missed by Western-focused recon tools, increasing discovery coverage. It supports brute-force subdomain discovery, recursive scanning, and takeover detection to help identify potential attack surfaces. OneForAll also performs validation and enrichment of discovered domains, producing structured outputs for further analysis. Overall, it is a powerful asset discovery platform designed to maximize subdomain visibility during security assessments. -
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Hidden miner builder
Hidden miner builder
A Monero mining tool focused on running mining processes in the background without user detection. -
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Fusion Detection Pipeline
Fusion gene detection pipeline bundled into a Singularity container.
Fusion gene detection by RNA-seq requires prior setup of several software modules and dependencies which might be troublesome. Furthermore, fusion detection tools tend to report many false positives. Therefore, we developed a detection and filtering workflow bundled into a Singularity container for a streamlined and easy-to-use application. Arriba and FusionCatcher are utilized for fusion calling. -
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YOLOV3 Pytorch
This is a source code for yolo3-pytorch
YOLOV3 Pytorch is a PyTorch implementation of the YOLOv3 object detection model built for training, prediction, and evaluation. The repository provides a complete workflow for users who want to train their own object detector with VOC-style data or use pretrained weights. It includes utilities for annotation conversion, anchor generation, image prediction, video prediction, batch prediction, FPS measurement, heatmap output, and mAP evaluation. -
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PoreMeth
PoreMeth is a tool for the identification of DMRs from Nanopore data.
PoreMeth is a tool for the detection of differentially methylated regions (DMRs) from nanopore sequencing data of two samples. PoreMeth tool is based on a heterogeneous form of the shifting level model, which integrates distances between consecutive CpGs in the segmentation algorithm. PoreMeth is fed with ∆β values and generates genomic segments with increased (hyper-) or decreased (hypo-) methylation levels between two samples, which are then evaluated for statistical significance using the Wilcoxon-rank sum test. -
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Manjaro Development
development packages & testbuilds for manjaro linux
Manjaro Linux is a Linux Distribution based on Arch Linux. It is still under development, but an initial testing release is already available. Our aim is to create a light linux distribution, which is simple, up-to-date, fast and user friendly and which follows the K.I.S.S principle. We are using the Desktop Environment Xfce, which is light but powerfull. Arch Linux is a great GNU/Linux distribution, but installing and configuring it, needs some time and experience. So we improved Arch... -
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avio
Python version of ffplay with built-in AI
See the Files tab above for installation instructions -
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reCsvEditor
Editor for simple (only one record type) Csv Files.
Editor for both Csv files and Fixed width files. There is automatic attribute detection for single record Csv Files. You can edit Fixed Width file and Multi-Record Csv / Fixed width files using a Xml Schema. There is also limited editing available for Xml and PO files. -
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R-package to perform analysis of landmark based geometric morphometrics. Installation instructions: https://github.com/zarquon42b/Morpho/blob/master/README.md
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SecretAgent
The web scraper that's nearly impossible to block
SecretAgent is a headless browser that’s nearly impossible to detect. It achieves this by emulating real users. And it has powerful auto-replay functionality that lets you create and debug scripts in record setting time. -
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CAT
CAT is the basic component of the server project
...In addition to metrics, it enables tracing—propagating context across RPC boundaries so problems like latency spikes or failed calls can be traced end-to-end. Alert rules and anomaly detection can be defined to notify teams proactively. The system supports multiple data backends and ingestion pipelines to collect data from JVM, C/C++, Python, and other ecosystems. With the collected data, Cat supports analysis of hotspots, trending anomalies, and capacity planning to drive continuous reliability improvements. -
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Periph
Peripherals I/O in Go
periph is a Go library that unifies hardware I/O on single-board computers and embedded Linux devices, exposing clean interfaces for GPIO, I²C, SPI, UART, PWM, and more. Its philosophy is “no daemon, no codegen”—you link a Go package and speak directly to the hardware via stable abstractions, keeping deployments simple and auditable. The project auto-detects host capabilities at runtime and selects the best driver backend, smoothing over kernel and board differences across Raspberry Pi,... -
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ml5.js
Friendly machine learning for the web
A neighborly approach to creating and exploring artificial intelligence in the browser. ml5.js aims to make machine learning approachable for a broad audience of artists, creative coders, and students. The library provides access to machine learning algorithms and models in the browser, building on top of TensorFlow.js with no other external dependencies. -
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Flashlight library
A C++ standalone library for machine learning
Flashlight is a fast, flexible machine learning library written entirely in C++ by Facebook AI Research and the creators of Torch, TensorFlow, Eigen, and Deep Speech. Native support in C++ and simple extensibility make Flashlight a powerful research framework that's hackable to its core and enables fast iteration on new experimental setups and algorithms with little unopinionated and without sacrificing performance. In a single repository, Flashlight provides apps for research across... -
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Google Cloud Vision API examples
Sample code for Google Cloud Vision
...It contains examples organized by language and environment, including Go, Java, Node.js, PHP, Python, Ruby, .NET, Android, iOS, and even a Chrome extension, which makes it especially valuable as a cross-platform learning resource. The repository demonstrates concrete image understanding use cases, such as landmark detection and mobile photo analysis with label and face detection, so developers can see how Vision API outputs are consumed in real interfaces and workflows. Although the repository has been marked as deprecated in favor of language-specific repositories for new work, it still serves as a broad reference hub for legacy examples and multi-language implementation patterns.
