Search Results for "network flow"
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Showing 13 open source projects for "network flow"
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Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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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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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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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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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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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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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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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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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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PetriNetExec: Java Embeddable Petri Nets
PetriNetExec a library for embedding Petri Nets into Java applications
...Using PetriNetExec you can define places and transitions, connect them using arcs and inhibitors, define the initial marking and then fire events and see how tokens flow into the network. * PetriNetExec does not provide a GUI for editing the network nor will it provide in the near future. That is not really a feature :-) but to those of you able to cope with this news I suggest to read further; * Petri Nets are created with PetriNetExec by writing Java code and using the provided API; * PetriNetExec provides a simple yet powerful callback mechanism allowing you to actually do something when events are fired and the network status is changing...
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