Search Results for "network"
Sort By:
Showing 580 open source projects for "network"
View related business solutions-
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
-
Cut Data Warehouse Costs by 54%BigQuery delivers 54% lower TCO with exabyte scale and flexible pricing. Free migration tools handle the SQL translation automatically.
-
1
Open Source Social Network
Open Source Social Network (OSSN) is a social networking software
Open Source Social Network (OSSN) is a social networking software written in PHP. It allows you to make a social networking website and helps your members build social relationships, with people who share similar professional or personal interests. It is available in 17 international languages. OSSN Licensed under the Open Source Social Network License (4.0) / Cryptographic Autonomy License version 1.0. -
2
Netron
Visualizer for neural network, deep learning, machine learning models
Netron is a viewer for neural network, deep learning and machine learning models. Netron supports ONNX, Keras, TensorFlow Lite, Caffe, Darknet, Core ML, MNN, MXNet, ncnn, PaddlePaddle, Caffe2, Barracuda, Tengine, TNN, RKNN, MindSpore Lite, and UFF. Netron has experimental support for TensorFlow, PyTorch, TorchScript, OpenVINO, Torch, Arm NN, BigDL, Chainer, CNTK, Deeplearning4j, MediaPipe, ML.NET, scikit-learn, TensorFlow.js. -
3
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. -
4
FreeRDP
FreeRDP is a free remote desktop protocol library and clients
...Enjoy the freedom of using your software wherever you want, the way you want it, in a world where interoperability can finally liberate your computing experience. The nightly builds are installed into /opt/freerdp-nightly and can be installed in parallel with the distributions regular freerdp package. Network tracing of RDP can be quite a challenge due to a number of factors such as encryption, compression, and the fact that these protocol features cannot always be disabled or worked around. One of the easiest way of decrypting RDP traffic is to configure the server with a self-signed certificate for which the private key is known, and then use this certificate with a network tracing tool to automatically decrypt the packets. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
5
RF24
OSI Layer 2 driver for nRF24L01 on Arduino & Raspberry Pi/Linux
...More reliable, responsive, bug-free and feature-rich. Easy for beginners to use, with well-documented examples and features. Consumed with a public interface that's similar to other Arduino standard libraries. OSI Network Layer for multi-device communication. Create a home sensor network. -
6
SponsorBlock
Skip YouTube video sponsors (browser extension)
SponsorBlock is an open-source crowdsourced browser extension and open API for skipping sponsor segments in YouTube videos. Users submit when a sponsor happens from the extension, and the extension automatically skips sponsors it knows about using a privacy-preserving query system. It also supports skipping other categories, such as intros, outros, and reminders to subscribe, and skipping to the point with highlights. The extension also features an upvote/downvote system with a weighted... -
7
spaCy
Industrial-strength Natural Language Processing (NLP)
...Since its inception it was designed to be used for real world applications-- for building real products and gathering real insights. It comes with pretrained statistical models and word vectors, convolutional neural network models, easy deep learning integration and so much more. spaCy is the fastest syntactic parser in the world according to independent benchmarks, with an accuracy within 1% of the best available. It's blazing fast, easy to install and comes with a simple and productive API. -
8
Bumblebee
Pre-trained Neural Network models in Axon
Bumblebee provides pre-trained Neural Network models on top of Axon. It includes integration with Models, allowing anyone to download and perform Machine Learning tasks with few lines of code. The best way to get started with Bumblebee is with Livebook. Our announcement video shows how to use Livebook's Smart Cells to perform different Neural Network tasks with a few clicks. -
9
DeepXDE
A library for scientific machine learning & physics-informed learning
DeepXDE is a library for scientific machine learning and physics-informed learning. DeepXDE includes the following algorithms. Physics-informed neural network (PINN). Solving different problems. Solving forward/inverse ordinary/partial differential equations (ODEs/PDEs) [SIAM Rev.] Solving forward/inverse integro-differential equations (IDEs) [SIAM Rev.] fPINN: solving forward/inverse fractional PDEs (fPDEs) [SIAM J. Sci. Comput.] NN-arbitrary polynomial chaos (NN-aPC): solving forward/inverse stochastic PDEs (sPDEs) [J. ... -
Veeam Data Platform v13.1 - Get Your Free TrialTry Veeam Data Platform today. Experience the unified platform that's secure by design, portable by default, and proven to recover clean, fast, and anywhere.
-
10
Stanza
Stanford NLP Python library for many human languages
...It contains tools, which can be used in a pipeline, to convert a string containing human language text into lists of sentences and words, to generate base forms of those words, their parts of speech and morphological features, to give a syntactic structure dependency parse, and to recognize named entities. The toolkit is designed to be parallel among more than 70 languages, using the Universal Dependencies formalism. Stanza is built with highly accurate neural network components that also enable efficient training and evaluation with your own annotated data. -
11
Penzai
A JAX research toolkit to build, edit, & visualize neural networks
Penzai, developed by Google DeepMind, is a JAX-based library for representing, visualizing, and manipulating neural network models as functional pytree data structures. It is designed to make machine learning research more interpretable and interactive, particularly for tasks like model surgery, ablation studies, architecture debugging, and interpretability research. Unlike conventional neural network libraries, Penzai exposes the full internal structure of models, enabling fine-grained inspection and modification after training. ... -
12
oneDNN
oneAPI Deep Neural Network Library (oneDNN)
This software was previously known as Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN) and Deep Neural Network Library (DNNL). oneAPI Deep Neural Network Library (oneDNN) is an open-source cross-platform performance library of basic building blocks for deep learning applications. oneDNN is part of oneAPI. The library is optimized for Intel(R) Architecture Processors, Intel Processor Graphics and Xe Architecture graphics. oneDNN has experimental support for the following architectures: Arm* 64-bit Architecture (AArch64), NVIDIA* GPU, OpenPOWER* Power ISA (PPC64), IBMz* (s390x), and RISC-V. oneDNN is intended for deep learning applications and framework developers interested in improving application performance on Intel CPUs and GPUs. ... -
13
TensorRT
C++ library for high performance inference on NVIDIA GPUs
...It includes a deep learning inference optimizer and runtime that delivers low latency and high throughput for deep learning inference applications. TensorRT-based applications perform up to 40X faster than CPU-only platforms during inference. With TensorRT, you can optimize neural network models trained in all major frameworks, calibrate for lower precision with high accuracy, and deploy to hyperscale data centers, embedded, or automotive product platforms. TensorRT is built on CUDA®, NVIDIA’s parallel programming model, and enables you to optimize inference leveraging libraries, development tools, and technologies in CUDA-X™ for artificial intelligence, autonomous machines, high-performance computing, and graphics. ... -
14
IPNetwork
IPNetwork command line and C# library take care of complex network
IPNetwork is a command-line tool and C# library for IP network calculations. It helps .NET developers work with IPv4, IPv6, CIDR, netmasks, subnets, and supernets. The library can parse networks and calculate values such as network address, CIDR, netmask, broadcast, first usable address, last usable address, and total address count. It also supports containment and overlap checks, which are useful for validation, routing tools, firewall rules, and network planning. ... -
15
SFML
Simple and Fast Multimedia Library
SFML provides a simple interface to the various components of your PC, to ease the development of games and multimedia applications. It is composed of five modules: system, window, graphics, audio and network. Discover their features more in detail in the tutorials and the API documentation. With SFML, your application can compile and run out of the box on the most common operating systems: Windows, Linux, macOS and soon Android & iOS. Pre-compiled SDKs for your favorite OS are available on the download page. SFML has official bindings for the C and .Net languages. ... -
16
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. -
17
AlphaZero.jl
A generic, simple and fast implementation of Deepmind's AlphaZero
Beyond its much publicized success in attaining superhuman level at games such as Chess and Go, DeepMind's AlphaZero algorithm illustrates a more general methodology of combining learning and search to explore large combinatorial spaces effectively. We believe that this methodology can have exciting applications in many different research areas. Because AlphaZero is resource-hungry, successful open-source implementations (such as Leela Zero) are written in low-level languages (such as C++)... -
18
TensorFlow.js
TensorFlow.js is a library for machine learning in JavaScript
...Comfortable with concepts like Tensors, Layers, Optimizers and Loss Functions (or willing to get comfortable with them)? TensorFlow.js provides flexible building blocks for neural network programming in JavaScript. -
19
PcapPlusPlus
Multiplatform C++ library for parsing and crafting of network packets
A multi-platform C++ library for capturing, parsing, and crafting of network packets. It is designed to be efficient, powerful, and easy to use. PcapPlusPlus enables capturing and sending network packets through easy-to-use C++ wrappers for the most popular packet processing engines such as libpcap, WinPcap, NPcap, DPDK and PF_RING. PcapPlusPlus enables decoding and forging capabilities for a large variety of network protocols. -
20
PiliPlus
PiliPlus
...Account-centric features such as history, favorites, and following creators are commonly integrated to keep the experience personal and portable across sessions. The project structure favors modularity so that network requests, parsing, and presentation layers remain separable and testable. Its community-driven approach encourages rapid iteration on UI details and playback features while maintaining a familiar, mobile-native feel. -
21
v2ray-rules-dat
V2Ray routing rules file enhanced version, which can replace V2Ray
...For privacy-conscious users, network administrators, or users needing fine-tuned proxy configuration, having such maintained data simplifies setup and ensures more accurate routing behavior. -
22
Flax
Flax is a neural network library for JAX
Flax is a flexible neural-network library for JAX that embraces functional programming while offering ergonomic module abstractions. Its design separates pure computation from state by threading parameter collections and RNGs explicitly, enabling reproducibility, transformation, and easy experimentation with JAX transforms like jit, pmap, and vmap. Modules define parameterized computations, but initialization and application remain side-effect free, which pairs naturally with JAX’s staging and compilation model. ... -
23
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. -
24
Swoole
Coroutine-based concurrency library for PHP
...Compared with other async programming frameworks or softwares such as Nginx, Tornado, Node.js, Swoole has the built-in PHP coroutine, fiber and async support, multiple threads I/O modules. You can use sync or async, coroutine, fiber API to write the applications or create thousands of light weight fibers within one Linux process. Swoole PHP network framework enhances the efficiency of development team. The network layer in Swoole is event-based and takes full advantage of the underlying epoll/kqueue implementation, making it really easy to serve millions of requests. Swoole 4.x uses a brand new engine kernel and now it has a full-time developer team, so we are entering an unprecedented period in PHP history which offers a unique possibility for rapid evolution. -
25
XNNPACK
High-efficiency floating-point neural network inference operators
XNNPACK is a highly optimized, low-level neural network inference library developed by Google for accelerating deep learning workloads across a variety of hardware architectures, including ARM, x86, WebAssembly, and RISC-V. Rather than serving as a standalone ML framework, XNNPACK provides high-performance computational primitives—such as convolutions, pooling, activation functions, and arithmetic operations—that are integrated into higher-level frameworks like TensorFlow Lite, PyTorch Mobile, ONNX Runtime, TensorFlow.js, and MediaPipe. ...