Search Results for "network architecture" - Page 3
Sort By:
Showing 145 open source projects for "network architecture"
View related business solutions-
$300 Free Credits to Build on Google CloudStart your next project with $300 in free Google Cloud credit. Spin up VMs, run containers, query petabytes in BigQuery, or build agents with Gemini Enterprise Agent Platform. Once your credits are used, keep building with 20+ always-free tier products including Compute Engine, Cloud Storage, GKE, and Cloud Run functions. No commitment required—just sign up and start building.
-
Build Securely on Azure with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
-
1
log4db2
Logging utility for DB2 for LUW written in SQL-PL
Log4db2 is a logging utility for DB2 LUW that uses SQL instructions with SQL PL code. Its purpose is to provide an easy way to write messages from a SQL routine, with the possibility to query these messages directly from the database, allowing to monitor the progression of a process. This utility aims to reduce the time used for developing, testing, debugging and monitoring SQL routines, by centralizing the messages produced by the code. The idea and architecture of this utility... -
2
Differentiable Neural Computer
A TensorFlow implementation of the Differentiable Neural Computer
The Differentiable Neural Computer (DNC), developed by Google DeepMind, is a neural network architecture augmented with dynamic external memory, enabling it to learn algorithms and solve complex reasoning tasks. Published in Nature in 2016 under the paper “Hybrid computing using a neural network with dynamic external memory,” the DNC combines the pattern recognition power of neural networks with a memory module that can be written to and read from in a differentiable way. ... -
3
MarvelHeroes
A sample Marvel heroes application based on MVVM
MarvelHeroes is a demo application based on modern Android application tech-stacks and MVVM architecture. Fetching data from the network and integrating persisted data in the database via repository pattern. -
4
Tabnine
Vim client for TabNine
Tabnine is an AI-powered code completion extension trusted by millions of developers around the world. Whether you’re just getting started as a developer or if you’ve been doing it for decades, Tabnine will help you code twice as fast with half the keystrokes – all in your favorite IDE. Whether you call it IntelliSense, intelliCode, autocomplete, AI-assisted code completion, AI-powered code completion, AI copilot, AI code snippets, code suggestion, code prediction, code hinting, or... -
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.
-
5
heim
Cross-platform async library for system information fetching
Heim is a cross-platform system monitoring library written in Rust, providing real-time metrics for CPU, memory, and other resources. -
6
Twitter Image Pipeline
Twitter Image Pipeline is a robust and performant image loading
The Twitter Image Pipeline is a streamlined framework for fetching and storing images in an application. The high-level concept is that all requests to fetch or store an image go through an image pipeline which encapsulates the work of checking the in-memory caches and an on disk cache before retrieving the image from over the network as well as keeping the caches both up to date and pruned. Twitter Image Pipeline came to fruition as numerous needs rose out of Twitter for iOS use cases. The... -
7
EiffelStudio is an Integrated Development Environment (IDE) that provides comprehensive facilities to programmers. It offers a comprehensive suite of tools that enable programmers to produce correct, reliable, and maintainable software while keeping control of the development process. If you want to create fast, robust, scalable applications, then EiffelStudio™ will offer you a cost-effective solution. Imagine being able to model your system as you think – capturing your requirements and...
-
8
AdaNet
Fast and flexible AutoML with learning guarantees
...AdaNet builds on recent AutoML efforts to be fast and flexible while providing learning guarantees. Importantly, AdaNet provides a general framework for not only learning a neural network architecture but also for learning to the ensemble to obtain even better models. At each iteration, it measures the ensemble loss for each candidate, and selects the best one to move onto the next iteration. Adaptive neural architecture search and ensemble learning in a single train call. Regression, binary and multi-class classification, and multi-head task support. ... -
9
Imixs Workflow
Imixs Workflow - the open source business process management
Manage Complexity of Your Business Process... Imixs-Workflow is the open source solution for human-centric business process management. This means supporting human skills, activities and collaboration in a model driven architecture. The Imixs-Workflow engine protects and securely distributes your business data based on the BPMN 2.0 standard. http://www.imixs.org -
Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
-
10
Clay Golem
Golem is creating a global market for computing power
...With Golem Network, users can connect with ease and pay each other for sharing their unused resources. Golem’s democratized access combined with a unique peer-to-peer exchange creates an unstoppable ecosystem for a myriad of use-cases to be born, allowing software developers to leverage their creativity more than ever before. The Golem Network, through its cutting-edge architecture, lets developers create ambitious projects without constraints, enabling users to process them at top speeds. -
11
ResNeXt
Implementation of a classification framework
ResNeXt is a deep neural network architecture for image classification built on the idea of aggregated residual transformations. Instead of simply increasing depth or width, ResNeXt introduces a new dimension called cardinality, which refers to the number of parallel transformation paths (i.e. the number of “branches”) that are aggregated together. Each branch is a small transformation (e.g. bottleneck block) and their outputs are summed—this enables richer representation without excessive parameter blowup. ... -
12
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... -
13
VivaGraph
Graph drawing library for JavaScript
VivaGraphJS is a powerful, high-performance graph drawing library for JavaScript that enables developers to visualize complex networks directly in the browser or in Node.js environments. It is designed for speed and scalability, handling large graph datasets with smooth rendering and interactive capabilities such as dragging nodes and zooming. The library supports multiple rendering backends including SVG, WebGL, and Canvas, allowing developers to choose the best balance of performance and... -
14
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... -
15
NN-SVG
Publication-ready NN-architecture schematics
Illustrations of Neural Network architectures are often time-consuming to produce, and machine learning researchers all too often find themselves constructing these diagrams from scratch by hand. NN-SVG is a tool for creating Neural Network (NN) architecture drawings parametrically rather than manually. It also provides the ability to export those drawings to Scalable Vector Graphics (SVG) files, suitable for inclusion in academic papers or web pages. -
16
ReadyForBAT
Chinese-language repository oriented to iOS interview preparation
ReadyForBAT is a Chinese-language repository oriented to iOS interview preparation: it collects a large number of interview topics in iOS development, UI views, language features (Objective-C), runtime mechanics, memory management, blocks, threads, run loops, network, design patterns, architecture, algorithms, third-party libraries and more, and presents them in mind-map or outline form with accompanying answers or explanations. It is aimed at developers preparing for job interviews focusing on iOS roles. The collection is organized by topic and emphasizes conceptual understanding rather than just rote memorization; the diagrams/visuals help structural memory of how subsystems map together. ... -
17
SFD
S³FD: Single Shot Scale-invariant Face Detector, ICCV, 2017
S³FD (Single Shot Scale-invariant Face Detector) is a real-time face detection framework designed to handle faces of various sizes with high accuracy using a single deep neural network. Developed by Shifeng Zhang, S³FD introduces a scale-compensation anchor matching strategy and enhanced detection architecture that makes it especially effective for detecting small faces—a long-standing challenge in face detection research. The project builds upon the SSD framework in Caffe, with modifications tailored for face detection tasks. ... -
18
Mocha.jl
Deep Learning framework for Julia
...Reworking Mocha with new technologies requires some non-trivial efforts, and new exciting solutions already exist nowadays, it is a good time for the retirement of Mocha.jl. Mocha has a clean architecture with isolated components like network layers, activation functions, solvers, regularizers, initializers, etc. -
19
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... -
20
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. ... -
21
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... -
22
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. -
23
K-iwi
K-iwi Is not a data Warehouse Infrastructure
The framework is based on MVC software architecture in order to help the developer to create web 2.0 applications in a fast and quick way. The idea behind the project, for which it differs from all the other existing frameworks, is to allow the developer to implement, install and run modular applications into a single large digital environment. K-iwi is written in PHP and is compatible with Apache 2.x . Inside you can find: a lot of libraries ready to use, a responsive interface based on... -
24
nunn
This is an implementation of a machine learning library in C++17
nunn is a collection of ML algorithms and related examples written in modern C++17. -
25
JarwiseDataAdapter
DataAdapter - Java library to work with Oracle and PostgreSQL database
DataAdapter - Java library to work with Oracle and PostgreSQL database. This library simplifies the work of loading, creating or editing database data, as opposed to working directly with JDBC. In a few lines of code, you get objects relay database table with fields. Object Types fields correspond to types of database table fields. Here you will find similarities with familiar to you ActiveRecord.