Search Results for "network performance" - Page 14
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Showing 688 open source projects for "network performance"
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Nano JSON
Lightweight, facility, high performance golang based game server
Nano is an easy-to-use, fast, lightweight game server networking library for Go. It provides a core network architecture and a series of tools and libraries that can help developers eliminate boring duplicate work for common underlying logic. The goal of nano is to improve development efficiency by eliminating the need to spend time on repetitious network-related programming. Nano was designed for server-side applications like real-time games, social games, mobile games, etc of all sizes. In... -
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helpdesk ticketing system, knowledgebase
The Free & Popular HESK Web Based Software in Complete Virtual Machine
This VM is created for 2 reasons: 1. Very little initial setup work required to make a Help Desk live, within minutes. 2. This system should keep running for Years, without requiring Updates / Breakages. If you are new to Virtual Machines, then please watch the Video below ( taken from my other project. just replace td with hd wherever mentioned ) After starting this VM, please login to its administration panel with: Website Address: https://hd.local/ ( Accept Any Warnings... -
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CYFS
CYFS is the next-generation technology to build real Web3
CYFS (Cyber File System) is a next-generation decentralized application protocol designed to redefine internet infrastructure by replacing traditional HTTP and DNS with a content-addressed, owner-controlled system. It allows apps to run entirely peer-to-peer, where users fully own their data and devices participate in the network without central servers. CYFS uses innovative technologies such as object-capability security and named data networking to offer performance, security, and offline operability. It is especially geared towards building Web3 applications and digital sovereignty ecosystems. -
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picoGPT
An unnecessarily tiny implementation of GPT-2 in NumPy
picoGPT is a minimal implementation of the GPT-2 language model designed to demonstrate how transformer-based language models work at a conceptual level. The repository focuses on educational clarity rather than production performance, implementing the core components of the GPT architecture in a concise and readable way. It allows users to understand how tokenization, transformer layers, attention mechanisms, and autoregressive text generation operate in modern large language models. The project uses a small amount of code to illustrate the essential mathematical operations involved in training and running a transformer-based neural network. -
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T81 558
Applications of Deep Neural Networks
Deep learning is a group of exciting new technologies for neural networks. Through a combination of advanced training techniques and neural network architectural components, it is now possible to create neural networks that can handle tabular data, images, text, and audio as both input and output. Deep learning allows a neural network to learn hierarchies of information in a way that is like the function of the human brain. This course will introduce the student to classic neural network structures, Convolution Neural Networks (CNN), Long Short-Term Memory (LSTM), Gated Recurrent Neural Networks (GRU), General Adversarial Networks (GAN) and reinforcement learning. ... -
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Alpa
Training and serving large-scale neural networks
Alpa is a system for training and serving large-scale neural networks. Scaling neural networks to hundreds of billions of parameters has enabled dramatic breakthroughs such as GPT-3, but training and serving these large-scale neural networks require complicated distributed system techniques. Alpa aims to automate large-scale distributed training and serving with just a few lines of code. -
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WireGuard for iOS and macOS
An application for iOS and for macOs
WireGuard for iOS and macOS is the official WireGuard client implementation for Apple platforms, including iOS, iPadOS, and macOS. The project delivers a native Swift-based application that integrates with Apple’s Network Extension framework to provide secure VPN tunneling with strong performance and reliability. It offers a polished graphical interface that allows users to create, import, and manage WireGuard configurations while maintaining the protocol’s emphasis on simplicity and modern cryptography. The software is designed to work seamlessly within Apple’s ecosystem, supporting keychain storage, system networking controls, and platform security features. ... -
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UDPspeeder
A Tunnel which Improves your Network Quality
...Used by itself, it improves UDP-based connections, but it can also be paired with UDP-based VPN tools to support broader traffic types through the VPN layer. The project is especially relevant for gaming, remote access, VPN transport, and other latency-sensitive use cases where packet loss creates visible performance problems. It gives users adjustable parameters so they can balance bandwidth overhead, latency, and resilience. UDPspeeder is not a general VPN by itself, but a network-quality enhancement layer for UDP tunnels. -
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Brynet
A Header-Only cross-platform C++ TCP network library
Header Only Cross-platform high-performance TCP network library using C++ 11. The server uses two network threads and one logic thread, the client uses one network (also process logic) thread. Every packet size is 46 bytes. Every packet contains the client's id. Server broadcast packets to all clients when recv one packet from any client. The client sends one packet when recv packet from the server and the packet's id is equal self. -
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gev
Gev is a lightweight, fast non-blocking TCP network library
Gev is a lightweight, fast non-blocking TCP network library / websocket server based on Reactor mode. Support custom protocols to quickly and easily build high-performance servers. Support custom protocols to quickly and easily build high-performance servers. High-performance event loop based on epoll and kqueue. Support multi-core and multi-threading. Dynamic expansion of read and write buffers implemented by Ring Buffer. -
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ixy-languages
A high-speed network driver written in C, Rust, C++, Go, C#, Java
ixy-languages is a repository exploring the implementation of the ixy network driver (originally written in C) in multiple programming languages, showing how the same core logic can be expressed across language boundaries. The ixy driver is a minimal DPDK-based user-space NIC driver intended for education, demonstration, and controlled experimentation. This project reimplements the ixy driver architecture in Rust, Go, C++, Zig, and possibly other languages, maintaining the same driver semantics and API so users can compare performance, expressivity, safety, and expressiveness trade-offs. ... -
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Angular Performance Checklist
Cheatsheet for developing lightning fast progressive Angular apps
Angular Performance Checklist is a practical resource and “cheatsheet” aimed at helping Angular (or AngularJS/Angular-related) developers optimize web application performance, covering both network/load-time optimizations and runtime performance improvements. It outlines actionable recommendations — from bundling and minification, tree-shaking, lazy loading, ahead-of-time (AoT) compilation, resource prefetching, caching and compression, to runtime strategies like change-detection optimization (OnPush, detaching change detectors), minimizing DOM operations, optimizing templates, using pure pipes, minimizing watchers, and more. ... -
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LSTMs for Human Activity Recognition
Human Activity Recognition example using TensorFlow on smartphone
LSTM-Human-Activity-Recognition is a machine learning project that demonstrates how recurrent neural networks can be used to recognize human activities from sensor data. The repository implements a deep learning model based on Long Short-Term Memory (LSTM) networks to classify physical activities using time-series data collected from wearable sensors. The project uses the well-known Human Activity Recognition dataset derived from smartphone accelerometer and gyroscope signals. Through the... -
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Automatic Website Forms Creator & Hoster
Create Forms, Surveys, Quizzes, Polls, Questionnaires etc. Locally.
Have a look at the Video below for details. Refer Wiki for more instructions. New Points: When asked "is this a mandatory field" please enter y to it. This will prevent any distortions in the data.html file. If needed, Please change the charset="UTF-8" to charset="Your Charset" to match your language's charset in the $HOME/autoform/headerfile.txt file. Editing can be done easily using the free FileZilla software. Check Google if you need to know your language's charset... -
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Shennina
Automating Host Exploitation with AI
Shennina is an automated host exploitation framework. The mission of the project is to fully automate the scanning, vulnerability scanning/analysis, and exploitation using Artificial Intelligence. Shennina is integrated with Metasploit and Nmap for performing the attacks, as well as being integrated with an in-house Command-and-Control Server for exfiltrating data from compromised machines automatically. Shennina scans a set of input targets for available network services, uses its AI engine... -
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OpenProject Community Ed Virtual Machine
Free & Open Source - Project / Task / Time & Team Management Software
Please click the Files Tab above to get all the related files of this system. ( Right Click Each File, to Open Them in New Tab, one by one, to download them all ) This is a Complete Virtual Machine, with Web Based OpenProject Software, for all sorts of Project Management / Task Management / Time Management & Team Management Activities. This Web Based Software can be operated by all Teams, in parallel, on your local and trusted work network. Have a look at the Video below for details.... -
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Weave Scope
Monitoring, visualization and management for Docker and Kubernetes
Understand your application quickly by seeing it in a real-time interactive display. Pick open-source or cloud-hosted options. Weave Scope automatically detects processes, containers, hosts. No kernel modules, no agents, no special libraries, no coding. Seamless integration with Docker, Kubernetes, DCOS and AWS ECS. See your Docker hosts, containers and services in real-time. Easily identify and correct issues to ensure the stability and performance of your containerized applications. View... -
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Create and Host Web Forms For All
Only Text Editing Skills Required - Convert All Paper Based Forms
Please click the Files Tab above to get all the flavours / related files of this system. ( Right Click Each File, to Open Them in New Tab, one by one, to download them all ) Have a look at the Video below for details. Refer Wiki for more instructions. if you are new to Virtual Machines, then please watch the video below Notes: For Security Reasons, you may change the name of your new ( form ) folder, to a single large word like... -
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Real-ESRGAN
Real-ESRGAN aims at developing Practical Algorithms
Real-ESRGAN is a highly popular open-source project that provides practical algorithms for general image and video restoration using deep learning-based super-resolution techniques. It extends the original Enhanced Super-Resolution Generative Adversarial Network (ESRGAN) approach by training on synthetic degradations to make results more robust on real-world images, effectively enhancing resolution, reducing noise/artifacts, and reconstructing fine detail in low-quality imagery. The... -
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Text Classification
All kinds of text classification models and more with deep learning
Text Classification is a deep learning repository focused on text classification models for NLP. It provides a broad set of baseline architectures that can be used to study, train, compare, and adapt classification approaches. The project supports both single-label and multi-label classification, making it useful for sentence-level and document-level tasks. It includes classic and advanced models such as fastText, TextCNN, BERT, TextRNN, RCNN, hierarchical attention networks, seq2seq... -
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Darknet
Convolutional Neural Networks
...With GPU acceleration via CUDA and OpenCV integration, it achieves high performance in image recognition tasks. Its simplicity, combined with powerful capabilities, has made Darknet one of the most influential projects in the computer vision community. -
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ConvNeXt
Code release for ConvNeXt model
ConvNeXt is a modernized convolutional neural network (CNN) architecture designed to rival Vision Transformers (ViTs) in accuracy and scalability while retaining the simplicity and efficiency of CNNs. It revisits classic ResNet-style backbones through the lens of transformer design trends—large kernel sizes, inverted bottlenecks, layer normalization, and GELU activations—to bridge the performance gap between convolutions and attention-based models. -
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flutter_ume
UME is an in-app debug kits platform for Flutter
flutter_ume is an in-app debug-kit platform for Flutter applications, developed by ByteDance’s Flutter Infra team. It lets developers embed a suite of debugging tools directly into a Flutter app (during development or debug builds), enabling inspection, performance monitoring, UI debugging, network request inspection, widget hierarchy introspection, and more — all from within the running app. UME bundles multiple “plugin kits” (e.g., UI inspector, performance monitor, device info panel, network inspector via Dio, console log viewer, code viewer, touch indicator) so developers can enable only the tools they need. ... -
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nlpaug
Data augmentation for NLP
This Python library helps you with augmenting nlp for your machine learning projects. Visit this introduction to understand Data Augmentation in NLP. Augmenter is the basic element of augmentation while Flow is a pipeline to orchestra multi augmenters together. -
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PacketStreamer
Distributed tcpdump for cloud native environments
Deepfence PacketStreamer is a high-performance remote packet capture and collection tool. It is used by Deepfence's ThreatStryker security observability platform to gather network traffic on demand from cloud workloads for forensic analysis. PacketStreamer sensors are started on the target servers. Sensors capture traffic, apply filters, and then stream the traffic to a central receiver.
