Search Results for "network test"
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Showing 15 open source projects for "network test"
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1
Mock Service Worker
Seamless REST/GraphQL API mocking library for browser and Node.js
Mock by intercepting requests on the network level. Seamlessly reuse the same mock definition for testing, development, and debugging. A dedicated layer of requests interception at your disposal. Keep your application's code and tests unaware of whether something is mocked or not. Request the same production resources and test the actual behavior of your app. Augment an existing API, or design it as you go, when there is none. -
2
Taiko
A node.js library for testing modern web applications
Taiko is an open-source Node.js library designed to automate modern web browsers and simplify the process of end-to-end testing for web applications. It provides a concise JavaScript API that allows developers to control browsers programmatically and create automated test scripts that simulate real user interactions with websites. The tool was developed by the team behind the Gauge testing framework and focuses on reliability and readability in browser automation workflows. Taiko works with... -
3
cocoyaxi
A go-style coroutine library in C++11 and more
...Simple test on Linux shows that 10 millions of coroutines only take 2.8G of memory (for reference only). There is a flat relationship between coroutines, and new coroutines can be created from anywhere (including in coroutines). Support system API hook (Windows/Linux/Mac), you can directly use third-party network library in coroutine. -
4
Lightweight' GAN
Implementation of 'lightweight' GAN, proposed in ICLR 2021
...Quoting the one-line summary "converge on single gpu with few hours' training, on 1024 resolution sub-hundred images". Augmentation is essential for Lightweight GAN to work effectively in a low data setting. You can test and see how your images will be augmented before they pass into a neural network (if you use augmentation). The general recommendation is to use suitable augs for your data and as many as possible, then after some time of training disable the most destructive (for image) augs. You can turn on automatic mixed precision with one flag --amp. ... -
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5
MMDeploy
OpenMMLab Model Deployment Framework
MMDeploy is an open-source deep learning model deployment toolset. It is a part of the OpenMMLab project. Models can be exported and run in several backends, and more will be compatible. All kinds of modules in the SDK can be extended, such as Transform for image processing, Net for Neural Network inference, Module for postprocessing and so on. Install and build your target backend. ONNX Runtime is a cross-platform inference and training accelerator compatible with many popular ML/DNN... -
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Penetration Testing Tools
A collection of more than 170+ tools, scripts, cheatsheets
Penetration-Testing-Tools is a curated collection of tools, scripts, cheatsheets and reference materials assembled to help security researchers, red-teamers, and students perform hands-on penetration testing across multiple domains. The repository groups resources by discipline — reconnaissance, web application testing, network exploitation, privilege escalation, post-exploitation and reporting — so users can quickly find relevant utilities and walkthroughs. Many entries include short usage... -
7
OHHTTPStubs
Stub your network requests easily!
OHHTTPStubs is a library designed to stub your network requests very easily. It can help you test your apps with fake network data (stubbed from file) and simulate slow networks, to check your application behavior in bad network conditions, and write unit tests that use fake network data from your fixtures. OHHTTPStubs headers are fully documented using Appledoc-like / Headerdoc-like comments in the header files. -
8
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. ... -
9
printThis
jQuery printing plugin; print specific elements on a page
...Accepts true, "b", "h", or "bh" to test for "b" and "h" for body and html tags, respectively. -
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10
yaesc
Yet Another Elasticsearch GUI Client
Elasticsearch Desktop GUI client. An IDE to create and test your queries. -
11
PyTorch Book
PyTorch tutorials and fun projects including neural talk
This is the corresponding code for the book "The Deep Learning Framework PyTorch: Getting Started and Practical", but it can also be used as a standalone PyTorch Getting Started Guide and Tutorial. The current version of the code is based on pytorch 1.0.1, if you want to use an older version please git checkout v0.4or git checkout v0.3. Legacy code has better python2/python3 compatibility, CPU/GPU compatibility test. The new version of the code has not been fully tested, it has been tested... -
12
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. ... -
13
AnCH Framework
Another C++ Hack
This project has been migrated to GitHub : https://github.com/vlachenal/anch-framework AnCH framework aims to provide utility classes for some common programming features. Features are implemented to be used as simply as possible. This framework was initially a way to test new C++ specifications (C++11) and to test C++ design patterns and tricks. Only POSIX systems are supported for now. Others could be supported later. (Partial) Doxygen documentation can be found on project home page. -
14
CRFasRNN
Semantic image segmentation method described in the ICCV 2015 paper
...This software allows you to test our algorithm on your own images – have a try and see if you can fool it, if you get some good examples you can send them to us. CRF-RNN has been developed as a custom Caffe layer named MultiStageMeanfieldLayer. Usage of this layer in the model definition prototxt file looks the following. Check the matlab-scripts or the python-scripts folder for more detailed examples. -
15
z-utalm
Unified Test and Logging layer for multiple programming languages
Modern software systems and application are commonly written in multiple languages, include scripting engines, and are frequently build on multiple specialized frameworks and middleware for a considerable diversity of runtime environments. The latest influencing update in development paradigm is the application of multicore processors. This projects is aimed to unify the required trace and logging output and integrate into debugging environments. The target is to provide general development,...
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