Search Results for "tests"
Sort By:
Showing 15 open source projects for "tests"
View related business solutions-
Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
-
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.
-
1
statsmodels
Statsmodels, statistical modeling and econometrics in Python
statsmodels is a Python module that provides classes and functions for the estimation of many different statistical models, as well as for conducting statistical tests, and statistical data exploration. An extensive list of result statistics are available for each estimator. The results are tested against existing statistical packages to ensure that they are correct. The package is released under the open source Modified BSD (3-clause) license. Generalized linear models with support for all of the one-parameter exponential family distributions. ... -
2
AWS Deep Learning Containers
A set of Docker images for training and serving models in TensorFlow
AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet. Deep Learning Containers provide optimized environments with TensorFlow and MXNet, Nvidia CUDA (for GPU instances), and Intel MKL (for CPU instances) libraries and are available in the Amazon Elastic Container Registry (Amazon ECR). The AWS DLCs are used in Amazon SageMaker as the default vehicles for your SageMaker jobs such as training, inference,... -
3
Optimizer_sovkov
Constructing and optimizing general mathematical and physical models
...Currently, the main focus of these is computational quantum mechanics, analysis and simulation of molecular spectra, and general-purpose approximants. The package provides the most reliable modern strategies for linear and non-linear model optimization, regularization, and hypothesis tests. Parallel computing is supported. -
4
geometry3d
A Python library for geometric objects in 3 dimentions
...It also can tell if it contains the other object or is it contained by that. Where appropriate, it's easy to check orthogonality and parallelism. Vectors are sub-typed from numpy ndarray class. Extensive unit tests are included. Test coverage exceeds 95%. See documentation of the library internals in section Files ( https://sourceforge.net/projects/geometry3d/files/ ). -
Secure File Transfer for Windows with Cerberus by RedwoodCerberus supports unlimited users and connections on a single IP, with built-in encryption, 2FA, and a browser-based web client — all deployable in under 15 minutes with a 25-day free trial.
-
5
MJExtension
A conversion framework between JSON and model
A fast, convenient and nonintrusive conversion framework between JSON and model. Dictionary-to-model framework with fast conversion speed and easy to use. A large number of unit tests have been carried out on various commonly used data scenarios. MJExtension is an ultra-lightweight framework that converts between dictionaries and models. Coding all properties of a model with only one line of code. Coding (archiving and unarchiving) of all attributes of the model can be achieved with just one line of code. @objcattributes should be added to class and property for declaration of Objc accessibility. ... -
6
TensorFlow.js models
Pretrained models for TensorFlow.js
...To find out about APIs for models, look at the README in each of the respective directories. In general, we try to hide tensors so the API can be used by non-machine learning experts. New models should have a test NPM script. You can run the unit tests for any of the models by running "yarn test" inside a directory. Use off-the-shelf JavaScript models or convert Python TensorFlow models to run in the browser or under Node.js. Build and train models directly in JavaScript using flexible and intuitive APIs. Develop ML models in JavaScript, and use ML directly in the browser or in Node.js. -
7
PopperFramework
Declarative PageObject description
PopperFramework is a java framework which allows you to create PageObjects for your webapplication-tests in a declarative way. That means you just have to define an interface defining the structure of your website and add some annotation with the basic information like locators. PopperFramework will generate the implementation of that PageObject for you. Key-Goal of PopperFramework is to allow you as a developer of sureface-tests to concentrate on your business => writing PageObjets and Tests, not wasting time by writing boilerplate code. ... -
8
LEE_FSM
Finite State Machine; PHP; LUA;
The software resents an executable specification language based on deterministic finite automata, this allows the user to perform tests of word recognition in the state machines that are defined by it. Moreover, it’s possible for the user to assign snippets of code to be executed every transition automaton, these snippets can be described in Lua or PHP programming language. To test that were conducted in the language, was developed a compiler that recognizes words and generates object code. -
9
PIMs1
An editor for presentation models and presentation interaction models
PIMed is a tool for the creation of presentation models and presentation interaction models Once models have been created the tool can be used to generate abstract tests from these models, and also to export presentation interaction models (PIMs) as a .muz file for use with the AMuZed tool PIMed is free, open-source software, distributed under the GPL (GNU Public License). -
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.
-
10
This projects aims at providing an object model which describes a java source file static and dynamic behaviour. The generated object model can be used to analyse the source code or generate new code (unit tests, for example).
-
11
A Python programming environment providing memory sizing, profiling and analysis, and a specification language that can formally specify aspects of Python programs and generate tests and documentation from a common source.
-
12
JSeqUnit enhances Javadoc documentation with UML sequence diagrams that are generated with the help of JUnit tests. It uses JSeq to trace the execution of test executions. It supports re-engineering of components through improved reverse engineering of methods with the help of sequence diagrams.
-
13
A Java-based system for doing Model-Based Testing. Nephila will use Finite State Machine based models to create language-independent tests.
-
14
NHag - NHibernate Automated Generator - is an advanced Codegenerator. Based on the hbm.xmls it can produce class code (in VB.NET and C#), Cell- and MVP-based abstraction layers and test scenarios (Test-DB and Unit Tests) for the generated classes. It's
-
15
BNF processing tool checks correctness of BNF grammar, generates cross-referenced HTML documentation, generates tests for language recognizers (parsers).
- Previous
- You're on page 1
- Next
