Search Results for "network speed"
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Showing 19 open source projects for "network speed"
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1
RF24
OSI Layer 2 driver for nRF24L01 on Arduino & Raspberry Pi/Linux
...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. -
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spaCy
Industrial-strength Natural Language Processing (NLP)
spaCy is a library built on the very latest research for advanced Natural Language Processing (NLP) in Python and Cython. 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... -
3
Impacket
A collection of Python classes for working with network protocols
Impacket is a collection of Python classes designed for working with network protocols. It was primarily created in the hopes of alleviating some of the hindrances associated with the implementation of networking protocols and stacks, and aims to speed up research and educational activities. It provides low-level programmatic access to packets, and the protocol implementation itself for some of the protocols, like SMB1-3 and MSRPC. -
4
warp-yg
Warp multi-function one-click script, supports warp-go and wgcf
...It focuses on simplifying the integration of WireGuard-based WARP connections into proxy environments, allowing users to route traffic through optimized Cloudflare endpoints. The project includes functionality for selecting optimal endpoints and improving connection speed by dynamically identifying efficient routes. It is often used in conjunction with other proxy tools to enhance reliability and bypass network restrictions by leveraging Cloudflare’s global infrastructure. The script supports multiple deployment environments and can be integrated into broader proxy setups for hybrid configurations. ... -
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5
Fetch for Android
The best file downloader library for Android
...For Android SDK version 23(M) and above, you will also need to explicitly request these permissions from the user. Continuous downloading in the background. Concurrent downloading support. Ability to pause and resume downloads. Set the priority of a download. Network-specific downloading support. Ability to retry failed downloads. Ability to group downloads. Easy progress and status tracking. Download remaining time reporting (ETA). Download speed reporting. Save and Retrieve download information anytime. Notification Support. Storage Access Framework, Content Provider and URI support. -
6
Size Limit
Calculate the real cost to run your JS app or lib
Size Limit is a JavaScript performance budget tool that measures the real cost of your JavaScript bundle and prevents regressions by enforcing limits in CI. It calculates not just raw bundle size, but also download and execution time under configurable network conditions, giving a more realistic sense of what users experience. The tool is modular: it offers a CLI and multiple plugins (file, webpack, time) plus presets tailored to different use cases, from big single-page apps to small npm... -
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SWR
React Hooks library for remote data fetching
...With just one single line of code, you can simplify the logic of data fetching in your project, and also have all many amazing features out-of-the-box. SWR has you covered in all aspects of speed, correctness, and stability to help you build better experiences. Fast page navigation, polling on interval, data dependency, revalidation on focus, revalidation on network recovery, local mutation (Optimistic UI), smart error retry, pagination and scroll position recovery, React Suspense, and more. -
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Front-End Performance Checklist
The only Front-End Performance Checklist that runs faster
Front-End-Performance-Checklist is a comprehensive, developer-friendly guide that consolidates the most impactful client-side performance practices into a single, scannable resource. It frames performance as a front-end responsibility and turns broad principles into concrete, verifiable checks you can apply before shipping. The checklist is organized by areas such as HTML, CSS, JavaScript, fonts, images, and network delivery, so teams can tackle bottlenecks systematically. Each section... -
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Neural Tangents
Fast and Easy Infinite Neural Networks in Python
Neural Tangents is a high-level neural network API for specifying complex, hierarchical models at both finite and infinite width, built in Python on top of JAX and XLA. It lets researchers define architectures from familiar building blocks—convolutions, pooling, residual connections, and nonlinearities—and obtain not only the finite network but also the corresponding Gaussian Process (GP) kernel of its infinite-width limit. -
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Neural Network Intelligence
AutoML toolkit for automate machine learning lifecycle
Neural Network Intelligence is an open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning. NNI (Neural Network Intelligence) is a lightweight but powerful toolkit to help users automate feature engineering, neural architecture search, hyperparameter tuning and model compression. The tool manages automated machine learning (AutoML) experiments, dispatches and runs experiments'... -
11
Minkowski Engine
Auto-diff neural network library for high-dimensional sparse tensors
...Compressing a neural network to speed up inference and minimize memory footprint has been studied widely. One of the popular techniques for model compression is pruning the weights in convnets, is also known as sparse convolutional networks. Such parameter-space sparsity used for model compression compresses networks that operate on dense tensors and all intermediate activations of these networks are also dense tensors. -
12
TFLearn
Deep learning library featuring a higher-level API for TensorFlow
TFlearn is a modular and transparent deep learning library built on top of Tensorflow. It was designed to provide a higher-level API to TensorFlow in order to facilitate and speed up experimentations while remaining fully transparent and compatible with it. Easy-to-use and understand high-level API for implementing deep neural networks, with tutorials and examples. Fast prototyping through highly modular built-in neural network layers, regularizers, optimizers, and metrics. Full transparency over Tensorflow. ... -
13
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... -
14
OkReplay
Record and replay OkHttp network interaction in your tests
OkReplay is a tool for recording and replaying HTTP interactions (specifically via OkHttp) in Android tests to improve determinism, test speed, and reliability. During the first run of a test annotated with @OkReplay, the library records outgoing HTTP requests and their responses into tape files. On subsequent runs, it intercepts those requests and serves the recorded responses instead of making real network calls. This allows tests to be executed offline, reduces flakiness due to network variability, and isolates the test environment from external dependencies. ... -
15
VivaGraph
Graph drawing library for JavaScript
...VivaGraphJS is modular, so you can extend or customize layouts, rendering, and interaction logic to fit specialized applications such as social network analysis, dependency mapping, or knowledge graphs. -
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SFD
S³FD: Single Shot Scale-invariant Face Detector, ICCV, 2017
...It includes training scripts, evaluation code, and pre-trained models that achieve strong results on popular benchmarks such as AFW, PASCAL Face, FDDB, and WIDER FACE. The framework is optimized for speed and accuracy, making it suitable for both academic research and practical applications in computer vision. -
17
AirTSP
Simulated Airline Travel Solution Provider Library
AirTSP is also named AirTSP (TSP standing for Travel Service Provider). That project aims at providing a clean API and a simple implementation, as a C++ library, of an Airline Schedule Management System. It is intended to be used in simulated environments only: it is not designed to work in the real-world of Airline IT operations. AirTSP/AirTSP makes an extensive use of existing open-source libraries for increased functionality, speed and accuracy. In particular the Boost (C++... -
18
webiness
Small PHP MVC Framework
Webiness is lightweight PHP framework based on MVC design pattern. Webiness is free and open source project available under MIT licence. and, in some way, It's inspirated by Yii Framework but it has much less features then Yii. It try to keep good balance between number of features, usability, speed, security options and easy of development. -
19
This project is a Neural Network Training Library implemented on CUDA. It's compatible with the most used libraries but allows to exploit the full power of NVIDIA graphic cards. Experimental results show speed ups over 100 times against CPU libraries
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