Search Results for "community detection algorithm"
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Showing 161 open source projects for "community detection algorithm"
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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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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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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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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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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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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. -
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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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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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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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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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OBS Linux Vulkan/OpenGL game capture
OBS Linux Vulkan/OpenGL game capture
..., and actively maintained by the community. -
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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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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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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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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. -
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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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Yampa
Functional Reactive Programming domain-specific language
Yampa is a Functional Reactive Programming (FRP) library for Haskell, specifically designed for modeling hybrid systems that involve both continuous and discrete time behaviors, such as games, simulations, robotics, and reactive systems. Based on the concept of signal functions, Yampa offers a declarative way to model time-varying values and their transformations, making it easier to manage complex time-based logic without resorting to imperative state management. It is grounded in strong... -
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teler
Real-time HTTP Intrusion Detection
teler is an real-time intrusion detection and threat alert based on web log that runs in a terminal with resources that we collect and provide by the community. kitabisa/teler-waf: teler-waf is a Go HTTP middleware that provide teler IDS functionality to protect against web-based attacks and improve the security of Go-based web applications. It is highly configurable and easy to integrate into existing Go applications. teler provides alerting when a threat is detected, push notifications... -
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EASTL
EASTL, Electronic Arts Standard Template Library
EASTL stands for Electronic Arts Standard Template Library. It is a C++ template library of containers, algorithms, and iterators useful for runtime and tool development across multiple platforms. It is a fairly extensive and robust implementation of such a library and has an emphasis on high performance above all other considerations. If you are familiar with the C++ STL or have worked with other templated container/algorithm libraries, you probably don't need to read this. If you have... -
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Primus
An abstraction layer for real-time to prevent module lock-in
..., the framework gets abandoned or simply breaks down. Built-in reconnect, it just works. The reconnect is controlled by a randomised exponential back-off algorithm to reduce server stress. Offline detection, Primus is smart enough to detect when users drop their internet connection (switching WIFI points/cell towers for example) and reconnects when they are back online.
