Search Results for "network flow"
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Showing 39 open source projects for "network flow"
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Store5
A Kotlin Multiplatform library for building network-resilient apps
...International users expect minimal data downloads as many megabytes of downloaded data can quickly result in astronomical phone bills. Store is a typed repository that returns a flow of Data /Loading /Error from local and network data sources. -
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Node-RED
Low-code programming for event-driven applications
...This makes it ideal to run at the edge of the network on low-cost hardware such as the Raspberry Pi as well as in the cloud. -
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Netcap
A framework for secure and scalable network traffic analysis
The Netcap (NETwork CAPture) framework efficiently converts a stream of network packets into platform-neutral type-safe structured audit records that represent specific protocols or custom abstractions. These audit records can be stored on disk or exchanged over the network, and are well-suited as a data source for machine learning algorithms. Since parsing of untrusted input can be dangerous and network data is potentially malicious, a programming language that provides a garbage-collected... -
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Acl
A powerful server and network library, including coroutine
The Acl (Advanced C/C++ Library) project a is powerful multi-platform network communication library and service framework, supporting LINUX, WIN32, Solaris, FreeBSD, MacOS, AndroidOS, iOS. Many applications written by Acl run on these devices with Linux, Windows, iPhone and Android and serve billions of users. There are some important modules in Acl project, including network communcation, server framework, application protocols, multiple coders, etc. The common protocols such as... -
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CoreNet
CoreNet: A library for training deep neural networks
CoreNet is Apple’s internal deep learning framework for distributed neural network training, designed for high scalability, low-latency communication, and strong hardware efficiency. It focuses on enabling large-scale model training across clusters of GPUs and accelerators by optimizing data flow and parallelism strategies. CoreNet provides abstractions for data, tensor, and pipeline parallelism, allowing models to scale without code duplication or heavy manual configuration. ... -
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FlowLens MCP
Open-source MCP server that gives your coding agent
...It works together with a companion browser extension: when a user reproduces a bug or a complicated UI interaction, the extension captures a rich session log, including screen/video recording, network traffic, console logs, DOM events, storage changes, and more, and exports it. The MCP server then loads this captured “flow” and exposes it to the AI agent via the Model Context Protocol (MCP), letting the agent examine, search, filter, and reason about the session just as a human developer would, without needing the agent to re-run the flow or rely on minimal reproduction data (logs, screenshots). -
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Semiotic
A data visualization framework combining React & D3
...It provides three types of frames XYFrame, OrdinalFrame, NetworkFrame, to deploy a wide variety of charts. XY data i.e. line charts and scatterplots. Categorical data i.e. bar charts, violin plots, parallel coordinates. Topological and network data i.e. flow diagrams, network visualization, and hierarchical views. A guide for creating a line chart, timeseries, difference line, and line percents using XYFrame along with hover behavior, responsive dimensions, and styling. XYFrame takes lines as an object or an array of objects. Each object represents a line. Every object needs a coordinates property with the array of points for that line. ... -
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RSocket
Java implementation of RSocket
Application protocol providing Reactive Streams semantics. RSocket provides a protocol for Reactive Streams semantics between client-server, and server-server communication. RSocket is a binary protocol for use on byte stream transports such as TCP, WebSockets, and Aeron. RSocket is intended to be consumed via one of the various implementation libraries which implement the RSocket Protocol. By default to make RSocket easier to use it copies the incoming Payload. Copying the payload comes at... -
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RxDart
The Reactive Extensions for Dart
...Subjects provide multicast behaviors so multiple listeners can share a single data source while maintaining semantics like replaying the latest value. By emphasizing immutability and one-way data flow, RxDart helps isolate side effects and makes complex state transitions easier to reason about. It’s widely used to coordinate UI events, network requests, and caching layers, especially when timing and concurrency are non-trivial. The library aims to stay idiomatic with Dart Streams while giving developers the ergonomic power long associated with the ReactiveX family. ... -
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Aleph
Asynchronous streaming communication for Clojure
Aleph is an asynchronous I/O framework for Clojure built atop Netty, offering efficient, non-blocking network programming with support for HTTP, raw TCP/UDP, and streaming through Manifold streams. Aleph follows the Ring spec fully and can be a drop-in replacement for any existing Ring-compliant server. However, it also allows for the handler function to return a Manifold deferred to represent an eventual response. This feature may not play nicely with synchronous Ring middleware, which modifies the response, but this can be easily fixed by reimplementing the middleware using Manifold's let-flow operator. ... -
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DocArray
The data structure for multimodal data
...Door to multimodal world: super-expressive data structure for representing complicated/mixed/nested text, image, video, audio, 3D mesh data. The foundation data structure of Jina, CLIP-as-service, DALL·E Flow, DiscoArt etc. Data science powerhouse: greatly accelerate data scientists’ work on embedding, k-NN matching, querying, visualizing, evaluating via Torch/TensorFlow/ONNX/PaddlePaddle on CPU/GPU. Data in transit: optimized for network communication, ready-to-wire at anytime with fast and compressed serialization in Protobuf, bytes, base64, JSON, CSV, DataFrame. ... -
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ALEPH-w
Data structures and Algorithms library
...Several types of hash tables are implemented: separated chaining, open adressing with linear probing and double function hash; this last one has a garbage colector mechanism that allows to free deleted entries. Dynamic linear hash tables are implemented too. The main algorithms on graphs are implemented in an easy way and with good performance features. Network Flow (maximum and min cost), cut points, topological sort, spanning trees, min paths. etc. The graphs are generic in the sense that they can contain data independent of the algorithm. Several containers of the C++ STL library are implemented with Aleph-w. Their performance is better than GNU implementation -
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whiteboxgui
An interactive GUI for WhiteboxTools in a Jupyter-based environment
...Remote sensing and image processing tasks include image enhancement (e.g. panchromatic sharpening, contrast adjustments), image mosaicing, numerous filtering operations, simple classification (k-means), and common image transformations. WhiteboxTools also contains advanced tooling for spatial hydrological analysis (e.g. flow-accumulation, watershed delineation, stream network analysis, sink removal), terrain analysis (e.g. common terrain indices such as slope, curvatures, wetness index, hillshading; hypsometric analysis; etc. -
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marble
Functional reactive Node.js framework for building server-side apps
...With the big popularity of RxJS Observable, you can create a referential transparent program specification made up of functions that may produce side effects like network, logging, database access, etc. Using its monadic nature we can map I/O operations over effects and flat them to bring in other sequences of operations. RxJS is used as a hammer for expressing asynchronous flow with monadic manner. Marble.js doesn't operate only over basic HTTP protocol but can be used also for general MDA (Message-Driven Architecture) solutions, including WebSocket, microservices or CQRS, where the multi-event nature fits best. -
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vFlow
Enterprise Network Flow Collector (IPFIX, sFlow, Netflow)
High-performance, scalable and reliable IPFIX, sFlow and Netflow collector (written in pure Golang). -
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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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I3D models trained on Kinetics
Convolutional neural network model for video classification
Kinetics-I3D, developed by Google DeepMind, provides trained models and implementation code for the Inflated 3D ConvNet (I3D) architecture introduced in the paper “Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset” (CVPR 2017). The I3D model extends the 2D convolutional structure of Inception-v1 into 3D, allowing it to capture spatial and temporal information from videos for action recognition. This repository includes pretrained I3D models on the Kinetics dataset, with... -
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TCPCopy
An online request replication tool, also a tcp stream replay tool
TCPCopy is a TCP stream replay tool to support real testing of Internet server applications. Although the real live flow is important for the test of Internet server applications, it is hard to simulate it as online environments are too complex. To support more realistic testing of Internet server applications, we develop a live flow reproduction tool - TCPCopy, which could generate the test workload that is similar to the production workload. Currently, TCPCopy has been widely used by companies in China. ... -
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Data/Document WF
Data/Document Work Flow application
Data/Document Work Flow is a set of .NET C# libraries to build simple cross-platform information system: - DataWF.Common - collections, reflections, io and networks helpers - DataWF.Data - cross RDBMS ORM - DataWF.Gui - Xwt based desktop UI - DataWF.Data.Gui - Database desktop UI - DataWF.Module.Flow - Document work flow module - DataWF.Mudule.FlowGui - Configure, create, edit, send document throw the flow Sources: https://github.com/alexandrvslv/datawf -
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Satsuma .NET Graph Library
a delicious .NET graph library
Satsuma is a graph library for .NET, written in C#. Satsuma is an easy-to-use and flexible library, which implements all the necessary graph structures, and the fastest possible graph algorithms. DOCUMENTATION: http://satsumagraph.sourceforge.net/ Satsuma is not a charting library. 'Graph' is used in the mathematical sense here (e.g. nodes connected with arcs). Satsuma is released under the zlib license. This license is very permissive and allows you to use Satsuma for both personal... -
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Human Flow HRMS
Web Based HRMS
Human Flow is a web based HRMS System. Human Flow is an integrated Human Resource Management Software designed and developed by Gescis Technologies, a leading IT company in India. This dedicated software developed by expert software savvies cater organizations with comprehensive HR management solutions including payrolls, report generation, online coordination Etc. -
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Molecular Dreams
C++ High level framework thinked for javascript
Molecular-Dreams permits to develop applications of all kinds, using C++ and/or simply Javascript code; basically, Md makes a simple abstraction of varoius complex-works-flow around QObjects and associates. Md proposes a HighLevel RDBMS based on QtSQlite driver, adding something to it! It also will make an using-abstraction of various C libraries as RtAudio, Ogg, Vorbis, Speex, Flac and LibAv. Molecular-Dreams was developed on Linux, but it could be easily ported to other platforms, as... -
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Awesome Recurrent Neural Networks
A curated list of resources dedicated to RNN
A curated list of resources dedicated to recurrent neural networks (closely related to deep learning). Provides a wide range of works and resources such as a Recurrent Neural Network Tutorial, a Sequence-to-Sequence Model Tutorial, Tutorials by nlintz, Notebook examples by aymericdamien, Scikit Flow (skflow) - Simplified Scikit-learn like Interface for TensorFlow, Keras (Tensorflow / Theano)-based modular deep learning library similar to Torch, char-rnn-tensorflow by sherjilozair, char-rnn in tensorflow, and much more. ... -
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dpcm-dt
DPCM DT automates the development of WSN applications
...The toolset can be used both by the application domain experts, which may have limited development skills, and power users that can interact with the toolset flow in different ways to leverage their programming and development proficiency. -
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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...
