Search Results for "network performance" - Page 19
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Showing 688 open source projects for "network performance"
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Deeplearning-papernotes
Summaries and notes on Deep Learning research papers
Deeplearning-papernotes is an implementation of Convolutional Neural Networks for sentence and text classification in TensorFlow, based on a well-known research paper that applies CNN architectures to natural language processing tasks with strong performance in sentiment analysis and similar classification problems. The repository provides the complete network definition, including an embedding layer to convert words into dense representations, convolution and max-pooling layers to extract informative features, and a final softmax classifier to distinguish between target classes. ... -
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swarmprom
Docker Swarm instrumentation with Prometheus, Grafana, cAdvisor
...It collects host, container, and Docker daemon metrics through Node Exporter, cAdvisor, and a dedicated daemon exporter. Grafana dashboards display cluster capacity, node health, service tasks, CPU, memory, storage, network traffic, I/O, and Prometheus performance. Alertmanager distributes alerts, Unsee provides an alert dashboard, and optional Slack settings deliver notifications to a channel. Global services and Docker DNS discovery automatically cover exporter instances added with new nodes. The project is intended as a foundation that teams can extend and harden for their own production environments. -
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Lanproxy
Intranet penetration tool that proxies local area network computers
Lanproxy is an intranet penetration tool that proxies local area network personal computers and servers to the public network. It supports tcp traffic forwarding and any tcp upper layer protocol (access to intranet websites, local payment interface debugging, ssh access, remote desktop, http proxy) , https proxy, socks5 proxy...). Penetration basic functions, same as the open source version, high performance, can support tens of thousands of penetration connections at the same time. ... -
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Pulsar framework
Event driven concurrent framework for Python
Event-driven concurrent framework for Python. Pulsar's goal is to provide an easy way to build scalable network programs. In the Hello world! webserver example above, many client connections can be handled concurrently. Pulsar tells the operating system (through epoll or select) that it should be notified when a new connection is made, and then it goes to sleep. Pulsar uses the asyncio module from the standard python library and it can be configured to run in multi-processing mode. The http... -
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PHP Framework - Smart.Framework
The next-generation PHP Framework Middleware + MVC
Smart.Framework - A High Performance PHP / Javascript Framework for Web Projects Clean Code Full Decoupled Libraries Independent Packages (based on plugins) Great Architecture (a hybrid between Multi-Tier and Middleware, combined with clean code separation as MVC). So, it is a very light and fast PHP / Javascript web framework. The paradox is that it have more built-in features than the well-known frameworks like Zend Framework 2 or Symfony 2 but is 2x ... 9x faster in the terms of... -
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Synaptic
Architecture-free neural network library for node.js and the browser
Synaptic is a javascript neural network library for node.js and the browser, its generalized algorithm is architecture-free, so you can build and train basically any type of first order or even second order neural network architectures. This library includes a few built-in architectures like multilayer perceptrons, multilayer long-short term memory networks (LSTM), liquid state machines or Hopfield networks, and a trainer capable of training any given network, which includes built-in training tasks/tests like solving an XOR, completing a Distracted Sequence Recall task or an Embedded Reber Grammar test, so you can easily test and compare the performance of different architectures. ... -
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cnn-benchmarks
Benchmarks for popular CNN models
The cnn-benchmarks project is a collection of benchmarking scripts designed to evaluate the performance of convolutional neural networks across different hardware and configurations. It provides standardized implementations of popular CNN architectures, enabling developers to measure training speed, memory usage, and computational efficiency. The project focuses on reproducibility, allowing consistent comparisons between models and environments. It is particularly useful for testing GPUs and... -
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RPi-Monitor
Real time monitoring for embedded devices
RPi-Monitor is a software designed to monitor the metrics from GNU/Linux systems and connected peripherals. It stores statistics in the local Round Robin Database and embeds a web server allowing it to display current status and statistics. -
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EDCC-CNG
Exploration and categorization of CREs and CRMs
...We developed two programs that serve as exploratory tools in the analysis of CRM-mediated control of gene expression: “Exploration of Distinctive CREs and CRMs” (EDCC) and “CRM Network Generator” (CNG). EDCC correlates the presence and positions of CREs/CRMs with gene expression data and identifies candidate regulatory elements for further functional analysis. CNG provides an unbiased neural network approach to assess the importance of positional features that were determined by EDCC. To sustain a high computational performance even for large datasets, the mostly in Python 3 written programs use k-mer based indexing, parallelization and a neural network approach for categorization. ... -
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FastEasyMapping
A tool for fast serializing & deserializing of JSON
FastEasyMapping is a lightweight and high-performance framework designed for mapping JSON or other data formats into native Objective-C objects on iOS. It simplifies the process of converting raw data into models and is built with a focus on speed and efficiency, making it suitable for apps dealing with large datasets or frequent network responses. -
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Apache mod_statistics
Apache module for SNMP monitoring
This Apache module, with the netsnmp plugin enables you to live monitoring your Webserver allowing to monitor the entire server, and if you want each of your VHosts or (Wild)Aliases. Is able to monitor and signalate via TRAP reconfiguration or entire server shutdown/crash. Using Atomical operations and MMAP server overhead is minimal. Contrib from Alf Høgemark for integrating it in OpenNMS:... -
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Swift AI
The Swift machine learning library
Swift AI is a high-performance deep learning library written entirely in Swift. We currently offer support for all Apple platforms, with Linux support coming soon. Swift AI includes a collection of common tools used for artificial intelligence and scientific applications. A flexible, fully-connected neural network with support for deep learning. Optimized specifically for Apple hardware, using advanced parallel processing techniques. -
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asyncoro
Python framework for asynchronous, concurrent, distributed programming
asyncoro is a Python framework for developing concurrent, distributed, network programs with asynchronous completions and coroutines. Asynchronous completions implemented in asyncoro are sockets (non-blocking sockets), database cursors, sleep timers and locking primitives. Programs developed with asyncoro have same logic and structure as Python programs with threads, except for a few syntactic changes. asyncoro supports socket I/O notification mechanisms epoll, kqueue, /dev/poll (and poll and select, where necessary), and Windows I/O Completion Ports (IOCP) for high performance and scalability, and SSL for security -
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Face Verification Experiment
Original Caffe Version for LightCNN-9. Highly recommend to use PyTorch
face_verification_experiment is a research repository focused on experiments in face verification using deep learning. It provides implementations and scripts for testing different neural network architectures and training strategies on face recognition and verification tasks. The project is designed to help researchers and practitioners evaluate the performance of models on standard datasets and explore techniques for improving accuracy. By offering experimental setups, it enables reproducibility and comparative study of face verification approaches. ... -
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NVG348Q
ARRIS NVG34x-Series Voice, Video and Data residential gateway
The ARRIS NVG34x-Series Triple Play (Voice, Video and Data) and Dual-Play (Video and Data) Residential Gateways are designed to deliver robust video, high-speed data and (optionally) primary line telephony, all delivered over the VDSL/VDSL2/ADSL2+ broadband network. This full-featured, high-performance Gateway provides a cost-effective way for Service Providers to migrate seamlessly from legacy ADSL networks to VDSL/VDSL2 networks via a converged services platform, made possible with the ARRIS 9x CPE Software. -
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Sentrifugo Open source HRMS
Sentrifugo is the best HR software for small & medium enterprises.
ADOPT. ADAPT. ADVANCE. FOR FREE! Sentrifugo is a FREE and powerful Human Resource Management System that can be easily configured to meet your organizational needs... Sentrifugo makes your organization’s HR process easier. It is packed with HR essential modules like Appraisal, Time Management, Leave Management, Employee Management, Analytics, Hiring/Recruitment, Background Check, Service Desk and much more. Sentrifugo furnishes a complete HRM solution facilitating a strategic and... -
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Netty Learning
Web application framework for Java
Netty Learning is a Chinese-language learning repository focused on explaining the source code and architecture of the Netty Java networking framework. It is aimed at developers who already use Netty or want to understand how high-performance network applications are built. The material examines Netty's design principles, networking concepts, and major internal structures. Articles cover buffers, Channel pipelines, the Reactor pattern, handlers, and asynchronous behavior. A practical section demonstrates building a SOCKS proxy with Netty. The repository also includes source material related to Netty 3.7 and links to additional learning resources. ... -
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mod_openopc
just plain WORKS
mod_openopc is a full featured implementation of the OpenOPC library for Python. It is cross platform compatible (full Python 2.5 and up). We used to recommend running it on a POSIX platform (Unix / Linux), but thanks to modest efforts since 2014, performance in Windows OS environments is excellent. -
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Kokpit-db is an integrated monitoring, comparison and performance analysis software for Oracle databases. It can compare and monitor versions 8i, 9i, 10g and 11g. Supports standby databases and ASM instances. GUI and command line interfaces available
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Hyperic is application monitoring and performance management for virtual, physical, and cloud infrastructures. Auto-discover resources of 75+ technologies, including vSphere, and collect availability, performance, utilization, and throughput metrics.
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TraceMetrics
TraceMetrics is a trace file analyzer for Network Simulator 3 (ns-3).
TraceMetrics is a trace file analyzer for Network Simulator 3 (ns-3). The main goal is to perform a quick analyzis of the trace file produced by ns-3's simulations and calculate useful metrics for research and performance measurement. Such tool is needed because a research simulation may generate a trace file with thousands of lines, becoming dificult to analyze manually. Due to this, this tool can be handy in case someone needs a metric that the tool already support. ... -
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JSensor
high performance computing, Wireless Sensors Networks Simulators
How can we analyze the water quality of a river? How can we monitor streets, cities, provinces of a country? How can we predict and prevent problems coming from earthquakes, snowstorms, fire spreads and all kinds of natural disasters? How can we test some new drugs without using animals? These and many other problems are initially solved by using simulators. It is extremely expensive, and sometimes dangerous, to test initial ideas in a real environment. We must use simulators to achieve... -
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Behaviour Control Framework
A C++ framework that uses inhibition trees for behaviour control.
The Behaviour Control Framework is a generic platform-independent C++ framework that implements a control architecture consisting of a hierarchical network of behaviour layers. These layers each contain behaviours that can inhibit one another and interact to achieve control. A full discussion of the structure and ideas behind this framework can be found in the Doxygen documentation that comes with the release. This documentation is well worth a read before you decide if the library is for you! ... -
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A complete OpenSource Network Management System Is SNMP-Standard Oriented (tested on Cisco and Linux). It Integrates Syslog, Tacacs, RRDtool (Performance Graphs), Maps, Traps, TFTP, Autodiscovery, Sound Alerts, AAA, Modular and Extensible.
