Search Results for "network monitoring tools" - Page 4
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Showing 107 open source projects for "network monitoring tools"
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Netty demos
Demos of Netty 4.x User Guide
Netty Demos is a Java example collection that accompanies the Chinese Netty 4.x User Guide and a related practical book. It lets readers compare standard blocking I/O, NIO, AIO, and Netty implementations of similar network programs. The repository includes echo, discard, time, TCP, UDP, HTTP, HTTP/2, and WebSocket examples. Additional samples explain ByteBuffer, ByteBuf usage modes, thread pools, the Reactor pattern, heartbeat handling, and custom codecs. Serialization demonstrations cover Java objects and JSON through Jackson. Security examples include SSL/TLS mutual authentication, while monitoring modules show a lightweight service and interface. ... -
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Collection of tools, mainly those I use for my HBackup and HNet projects. Basically, the functionality is: stackable files/sockets manipulation, modular configuration manager, helper for network share mounting and helper for automatic threads management.
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Forecasting Best Practices
Time Series Forecasting Best Practices & Examples
Time series forecasting is one of the most important topics in data science. Almost every business needs to predict the future in order to make better decisions and allocate resources more effectively. This repository provides examples and best practice guidelines for building forecasting solutions. The goal of this repository is to build a comprehensive set of tools and examples that leverage recent advances in forecasting algorithms to build solutions and operationalize them. Rather than... -
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The Neural Process Family
This repository contains notebook implementations
Neural Processes (NPs) is a collection of interactive Jupyter/Colab notebook implementations developed by Google DeepMind, showcasing three foundational probabilistic machine learning models: Conditional Neural Processes (CNPs), Neural Processes (NPs), and Attentive Neural Processes (ANPs). These models combine the strengths of neural networks and stochastic processes, allowing for flexible function approximation with uncertainty estimation. They can learn distributions over functions from... -
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Graph Nets library
Build Graph Nets in Tensorflow
Graph Nets, developed by Google DeepMind, is a Python library designed for constructing and training graph neural networks (GNNs) using TensorFlow and Sonnet. It provides a high-level, flexible framework for building neural architectures that operate directly on graph-structured data. A graph network takes graphs as inputs, consisting of edges, nodes, and global attributes, and produces updated graphs with modified feature representations at each level. This library implements the foundational ideas from DeepMind’s paper “Relational Inductive Biases, Deep Learning, and Graph Networks”, offering tools to explore relational reasoning and message-passing neural networks. ... -
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NetworkEye
A iOS network debug library, monitor HTTP requests
NetworkEye, an iOS network debug library, monitors HTTP requests. It can be detected HTTP requests including web pages, NSURLConnection, NSURLSession, AFNetworking, 3rd libraries, 3rd SDK, and so on. very convenient and practical. It can be a map local json file. -
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Video Nonlocal Net
Non-local Neural Networks for Video Classification
video-nonlocal-net implements Non-local Neural Networks for video understanding, adding long-range dependency modeling to 2D/3D ConvNet backbones. Non-local blocks compute attention-like responses across all positions in space-time, allowing a feature at one frame and location to aggregate information from distant frames and regions. This formulation improves action recognition and spatiotemporal reasoning, especially for classes requiring context beyond short temporal windows. The repo... -
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Quasar
Fibers, channels and actors for the JVM
Quasar is a library that provides high-performance lightweight threads, Go-like channels, Erlang-like actors, and other asynchronous programming tools for Java and Kotlin. Quasar is developed by Parallel Universe and released as free software, dual-licensed under the Eclipse Public License and the GNU Lesser General Public License. Quasar fibers rely on bytecode instrumentation. This can be done at classloading time via a Java Agent, or at compilation time with an Ant task. Quasar’s... -
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EventMachine
EventMachine, fast, simple event-processing library for Ruby programs
EventMachine is an event-driven I/O and lightweight concurrency library for Ruby. It provides event-driven I/O using the Reactor pattern, much like JBoss Netty, Apache MINA, Python's Twisted, Node.js, libevent and libev. Extremely high scalability, performance and stability for the most demanding production environments. An API that eliminates the complexities of high-performance threaded network programming, allowing engineers to concentrate on their application logic. This unique... -
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10
swarmprom
Docker Swarm instrumentation with Prometheus, Grafana, cAdvisor
Swarmprom is a starter monitoring stack for Docker Swarm clusters built around Prometheus and Grafana. 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. -
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PyTorch Book
PyTorch tutorials and fun projects including neural talk
This is the corresponding code for the book "The Deep Learning Framework PyTorch: Getting Started and Practical", but it can also be used as a standalone PyTorch Getting Started Guide and Tutorial. The current version of the code is based on pytorch 1.0.1, if you want to use an older version please git checkout v0.4or git checkout v0.3. Legacy code has better python2/python3 compatibility, CPU/GPU compatibility test. The new version of the code has not been fully tested, it has been tested... -
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ProgressManager
Listen the progress of downloading and uploading in Okhttp
...ProgressManager is widely used in applications requiring responsive file transfer interfaces and efficient network progress monitoring. -
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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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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. We've created some example projects to demonstrate the usage of Swift AI. Each resides in their own repository and can be built with little or no configuration. ... -
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PrettyTensor
Pretty Tensor: Fluent Networks in TensorFlow
Pretty Tensor is a high-level API built on top of TensorFlow that simplifies the process of creating and managing deep learning models. It wraps TensorFlow tensors in a chainable object syntax, allowing developers to build multi-layer neural networks with concise and readable code. Pretty Tensor preserves full compatibility with TensorFlow’s core functionality while providing syntactic sugar for defining complex architectures such as convolutional and recurrent networks. The library’s design... -
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ffnet is a fast and easy-to-use feed-forward neural network training solution for python. Many nice features are implemented: arbitrary network connectivity, automatic data normalization, very efficient training tools, network export to fortran code. Now ffnet has also a GUI called ffnetui.
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SilverTunnel-NG
Java library for easy accessing Tor network.
SilverTunnel-NG is a Java library that implements and encapsulates all the complex network protocol stuff needed for anonymous communication over the Tor anonymity network. SilverTunnel-NG Netlib can be easily integrated in almost every existing and new Java application. The library requires Java 1.6/Java SE 6 or a newer version. This is a fork of silvertunnel (https://silvertunnel.org) Version (0.0.4) is deployed to maven. -
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Bocker
Docker implemented in around 100 lines of bash
Bocker is a minimal, educational reimplementation of core container (Docker-like) functionality, done in about a hundred lines of Bash script. Its purpose is not to replace Docker’s full feature set, but to illustrate container primitives—namespaces, cgroups, layering, filesystem manipulation, network namespaces, etc.—in a transparent, minimal form. With bocker you can perform basic operations such as pulling an image, running a container, exec into a container, listing containers, and... -
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TSAR
Tools Slightly Above the Runtime
Tools Slightly Above the Runtime Moved to: https://github.com/IBM/tsar-mcp QueryTool for IBM i based on TSAR: https://www.ibm.com/support/pages/system/files/inline-files/i-extended-dynamic-sql-pdf_0.pdf -
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libnfdump
Library for reading nfdump files
libnfdump provides simple API for reading files generated by nfdump tools. NOTICE: This is very first, experimental, version of the library. API will probably change in future versions. The library is based on slightly modified source codes of nfdump v1.6.12. It supports reading and filtering of flow records exactly as nfdump does. Aggregation, statistics and writing of new files is not supported yet. In addition to nfdump, the library allows to use several filters at once, in one... -
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SNMPpp
Easy-to-use C++ library for various SNMP tasks
Easy-to-use C++ library for various SNMP tasks. Is meant to be used as a C++ wrapper to net-snmp. Requires netsnmp-dev. -
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snmpAdaptor4j
SNMP adaptor for JMX.
snmpAdaptor4j is an adaptor for Java Management eXtensions (JMX) providing a simple access to MBeans via the SNMP protocol. Thus, this adapter you allow to connect most monitoring tools (like Nagios and Cacti) to your Java applications. For each MBean, an XML mapping file allows to establish the relationships between attributes and the MIB of the SNMP adapter. No additional code is necessary to integrate the MBeans in the SNMP protocol. This adapter can work in a multi-applications environment (such as application servers). -
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silvertunnel.org is a project that provides an end-user browser, a Java library and additional Java security tools to easily access anonymity networks such as the Tor (torproject.org) network. Secure and easy to use. Tor4Java and Tor Browser. Attention: see project status on page https://sourceforge.net/p/silvertunnel/discussion/962278/thread/83dc2d02/#
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Easy CRUD
Easy CRUD is an Application Arquitecture
Easy CRUD is an application arquitecture that can be extended through external modules (plugins) using Qt. This arquitecture is designed to provide the basic tools to create CRUD forms, Configuration forms and Report forms. Also it includes the root module (mod_root), its function is to allow the ROOT user to control the access privileges of the system's user, the ROOT user can limit the normal users privileges, this is useful for systems that requires security levels. -
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pipedump
Proxies data from stdin/stdout/stderr and logs it in pcap files.
...STDIN is recorded as port 19840, STDOUT as port 19841, STDERR as port 19842 and debug information as port 65535. The captured data is recorded in a file which can be read by network analyzing tools capable of parsing PCAP files.
