Search Results for "community detection algorithm"
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Showing 215 open source projects for "community detection algorithm"
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Secure remote access solution to your private network, in the cloud or on-prem.OpenVPN is here to bring simple, flexible, and cost-effective secure remote access to companies of all sizes, regardless of where their resources are located.
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UNIT3D Community Edition
Private Torrent Tracker Built With Laravel, Livewire and AlpineJS
We have been developing a Private Torrent Tracker Software called UNIT3D. This is a PHP software based on Laravel 10, Livewire and AlpineJS. It is MySQL Strict Mode Compliant, and PHP 8.2 Ready. The code is well-designed and follows the PSR-2 coding style. It uses an MVC Architecture to ensure clarity between logic and presentation. As a hashing algorithm of Bcrypt or Argon2 is used, to ensure a safe and proper way to store the passwords for the users. A lightweight Blade Templating Engine... -
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LZ4
Extremely fast compression algorithm
LZ4 is lossless compression algorithm, providing compression speed > 500 MB/s per core (>0.15 Bytes/cycle). It features an extremely fast decoder, with speed in multiple GB/s per core (~1 Byte/cycle). A high compression derivative, called LZ4_HC, is available, trading customizable CPU time for compression ratio. LZ4 library is provided as open-source software using a BSD license. This benchmark simulates simple "static content transfer" scenario such as OS Kernel compression or video game's... -
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AimAhead
The fastest AI powered Aimbot
AimAhead is an AI-powered aim assist tool designed for high-speed target acquisition. It captures the screen, processes the image through a selected AI model to detect enemies, and then aims towards them. Optimized for NVIDIA graphics cards, AimAhead converts ONNX models to TensorRT engine files for enhanced performance, achieving between 100 to 200 cycles per second depending on the model used. -
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Klick'r
An open-source auto clicker on images for Android
Klick'r is an open-source Android application designed to automate repetitive tasks effortlessly. Formerly known as Smart AutoClicker, Klick'r offers unique image detection capabilities alongside traditional auto-clicking functionalities, providing a versatile solution for all your automation needs. Whether you’re a gamer automating in-game actions, a tester simulating user interactions, or anyone performing repetitive clicking tasks, Klick'r offers both image detection for sophisticated... -
MongoDB Atlas | Run databases anywhereMongoDB Atlas allows you to build and run modern applications across 125+ cloud regions, spanning AWS, Azure, and Google Cloud. Its multi-cloud clusters enable seamless data distribution and automated failover between cloud providers, ensuring high availability and flexibility without added complexity.
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xxHash
Extremely fast non-cryptographic hash algorithm
xxHash is an extremely fast non-cryptographic hash algorithm, working at RAM speed limit. It is proposed in four flavors (XXH32, XXH64, XXH3_64bits and XXH3_128bits). The latest variant, XXH3, offers improved performance across the board, especially on small data. It successfully completes the SMHasher test suite which evaluates collision, dispersion and randomness qualities of hash functions. Code is highly portable, and hashes are identical across all platforms (little / big endian... -
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Flame
A Flutter based game engine
Flame is a modular Flutter game engine that provides a complete set of out-of-the-way solutions for games. It takes advantage of the powerful infrastructure provided by Flutter but simplifies the code you need to build your projects. It provides you with a simple yet effective game loop implementation, and the necessary functionalities that you might need in a game. For instance; input, images, sprites, sprite sheets, animations, collision detection, and a component system that we call Flame... -
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ncnn
High-performance neural network inference framework for mobile
ncnn is a high-performance neural network inference computing framework designed specifically for mobile platforms. It brings artificial intelligence right at your fingertips with no third-party dependencies, and speeds faster than all other known open source frameworks for mobile phone cpu. ncnn allows developers to easily deploy deep learning algorithm models to the mobile platform and create intelligent APPs. It is cross-platform and supports most commonly used CNN networks, including... -
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BiglyBT
Feature-filled Bittorrent client based on the Azureus open source
BiglyBT is a fully-featured, open-source BitTorrent client based on the former Vuze/Azureus codebase. It offers extensive functionality without ads, spyware, or paid features, making it a favorite for advanced users. BiglyBT includes detailed torrent management tools, built-in swarm merging, VPN detection, I2P support, and streaming capabilities. It’s highly customizable and supports a wide range of plugins, automation tools, and scheduling options. The client runs on Java and is available... -
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CrowdSec
Firewall able to analyze visitor behavior & provide adapted response
... behavior detection system, written in Go. It stacks on Fail2ban's philosophy, but uses Grok patterns & YAML grammar to analyse logs, a modern decoupled approach (detect here, remedy there) for Cloud/Containers/VM based infrastructures. Once detected you can remedy threats with various bouncers (block, 403, Captchas, etc.) and blocked IPs are shared among all users to further improve their security. Crowdsec is an open-source, lightweight software, detecting peers with aggressive behaviors. -
Picsart Enterprise Background Removal API for Stunning eCommerce VisualsWith our Remove Background API tool, you can access the transformative capabilities of automation , which will allow you to turn any photo asset into compelling product imagery. With elevated visuals quality on your digital platforms, you can captivate your audience, and therefore achieve higher engagement and sales.
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Transformers
State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX
... classification, object detection, and segmentation. Audio, for tasks like speech recognition and audio classification. Transformers provides APIs to quickly download and use those pretrained models on a given text, fine-tune them on your own datasets and then share them with the community on our model hub. At the same time, each python module defining an architecture is fully standalone and can be modified to enable quick research experiments. -
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FFsubsync
Automagically synchronize subtitles with video
... language. In this case, you can use the correctly synchronized srt file directly as a reference for synchronization, instead of using the video as the reference. ffsubsync uses the file extension to decide whether to perform voice activity detection on the audio or to directly extract speech from an srt file. ffsubsync usually finishes in 20 to 30 seconds, depending on the length of the video. -
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Android KeePassDX
Lightweight vault and password manager for Android
Lightweight vault and password manager for Android, KeePassDX allows editing encrypted data in a single file in KeePass format and filling in the forms in a secure way. Keep your password safe in a secure place, KeePassDX stores your database in a single encrypted file and can be copied and moved wherever you want. KeePassDX is compatible with other KeePass products, the format is standardized and allows for increased interoperability. KeePassDX is created by the community and the code... -
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GmSSL
Password toolbox that supports national secret
... interfaces. GmSSL 3.0 greatly reduces memory requirements and binary code volume, does not rely on dynamic memory, and can be used in low-power embedded environments (MCU, SOC, etc.) National secret algorithm and SSL protocol are embedded in existing projects. The default CMake build system can be easily used with default compilation tools such as Visual Studio and Android NDK. Developers can also manually write Makefiles to compile in special environments, tailoring. -
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OBS Linux Vulkan/OpenGL game capture
OBS Linux Vulkan/OpenGL game capture
..., and actively maintained by the community. -
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A QUIC implementation in pure Go
A QUIC implementation in pure go
... measures that ensure confidentiality, integrity, and availability in a range of deployment circumstances. Accompanying documents describe the integration of TLS for key negotiation, loss detection, and an exemplary congestion control algorithm. -
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TIGRE
TIGRE: Tomographic Iterative GPU-based Reconstruction Toolbox
... aim is to provide a wide range of easy-to-use algorithms for the tomographic community "off the shelf". We would like to build a stronger bridge between algorithm developers and imaging researchers/clinicians by encouraging and supporting contributions from both sides to TIGRE. -
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nkn
Official Go implementation of NKN full node
NKN (New Kind of Network) is a blockchain-based network infrastructure that utilizes a novel consensus mechanism to facilitate decentralized data transmission. By incentivizing network participants with tokens, NKN aims to create a more open, efficient, and secure internet. Its architecture supports a wide range of applications, from messaging to content delivery. -
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HDBSCAN
A high performance implementation of HDBSCAN clustering
..., is intuitive and easy to select. HDBSCAN is ideal for exploratory data analysis; it's a fast and robust algorithm that you can trust to return meaningful clusters (if there are any). -
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awesome-single-cell
Community-curated list of software packages and data resources
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc. List of software packages (and the people developing these methods) for single-cell data analysis, including RNA-seq, ATAC-seq, etc. Rapid, accurate and memory-frugal preprocessing of single-cell and single-nucleus RNA-seq data. Find bimodal, unimodal, and multimodal features in your data. Ascend is an R package comprised of fast, streamlined analysis functions optimized to address... -
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HugeGraph
A graph database that supports more than 100+ billion data
HugeGraph is a convenient, efficient, and adaptable graph database compatible with the Apache TinkerPop3 framework and the Gremlin query language. HugeGraph supports fast import performance in the case of more than 10 billion Vertices and Edges Graph, millisecond-level OLTP query capability, and can be integrated into big data platforms like Hadoop or Spark for OLAP analysis. The main scenarios of HugeGraph include correlation search, fraud detection, and knowledge graph. Not only supports... -
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Kornia
Open Source Differentiable Computer Vision Library
... neural networks to train models to perform image transformations, epipolar geometry, depth estimation, and low-level image processing such as filtering and edge detection that operate directly on tensors. With Kornia we fill the gap between classical and deep computer vision that implements standard and advanced vision algorithms for AI. Our libraries and initiatives are always according to the community needs. -
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Arduino FOC
Arduino FOC for BLDC and Stepper motors
We live in very exciting times 😃! BLDC motors are entering the hobby community more and more and many great projects have already emerged leveraging their far superior dynamics and power capabilities. BLDC motors have numerous advantages over regular DC motors but they have one big disadvantage, the complexity of control. Even though it has become relatively easy to design and manufacture PCBs and create our own hardware solutions for driving BLDC motors the proper low-cost solutions are yet... -
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Random Cut Forest by AWS
An implementation of the Random Cut Forest data structure
This repository contains implementations of the Random Cut Forest (RCF) probabilistic data structure. RCFs were originally developed at Amazon to use in a nonparametric anomaly detection algorithm for streaming data. Later new algorithms based on RCFs were developed for density estimation, imputation, and forecasting. The different directories correspond to equivalent implementations in different languages, and bindings to to those base implementations, using language-specific features... -
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firo
The privacy-focused cryptocurrency
... advocates. Firo’s commitment to privacy extends beyond transactions into governance and community funding. -
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MiniSom
MiniSom is a minimalistic implementation of the Self Organizing Maps
... of the Self-Organizing Map (SOM) algorithm, focusing on simplicity in features, dependencies, and code style. Although it has expanded in terms of features, it remains minimalistic by relying only on the numpy library and emphasizing vectorization in coding style.
