HttpMaster
Hoppscotch
API Fortress
Postman
Assertible
Request inspector
SoapSonar
CurlHub.io
TFlearn
Keras
Clarifai
DeepPy
Microsoft Cognitive Toolkit (Formerly CNTK)
Merlin
Knet
Swift Brain
Core HttpMaster features are: * HttpMaster project to store complete definition of API calls in one single place. * Broad set of http properties. * Dynamic parameters to simulate variations of input data or create global API values. * Response data validation with logical expressions. * Request chaining to use data from previous request with the next request. * Extensive data upload support, including 'multipart/form-data'. * Request data builder for creating request body with an optional dynamic parameters. * Request item execution with detailed progress monitoring. * Execution groups to create batches of requests. * Comprehensive execution data review and management. * Additional tools (basic request tool for ad-hoc execution, command line interface, OpenAPI import, etc).
HttpMaster
TFlearnHttpMaster is well-suited for developers, QA engineers, and testers who need to perform end-to-end testing of web APIs. It's particularly beneficial for those who require a versatile testing solution with both automated and manual testing features. It's also ideal for teams that need to validate the functionality, performance, and security of their web apps through an intuitive platform.
HttpMaster's answer
Developers and testers.
HttpMaster's answer
HttpMaster's answer
Performance, simple UI, resource friendly.
HttpMaster's answer
Microsoft .NET.
Based on our record, TFlearn seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
TFLearn โ Deep learning library featuring a higher-level API for TensorFlow. - Source: dev.to / about 4 years ago
Both the teams in a game are given their individual ID values and are made into vectors. Relevant data like the home and away team, home runs, RBIโs, and walkโs are all taken into account and passed through layers. Thereโs no need to reinvent the wheel here, there's a multitude of libraries that enable a coder to implement machine learning theories efficiently. In this case we will be using a library called... - Source: dev.to / over 5 years ago
Hoppscotch - Open source API development ecosystem
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
API Fortress - API performance, accuracy, and uptime testing. Without code.
Clarifai - The World's AI
Postman - The Collaboration Platform for API Development
DeepPy - DeepPy is a MIT licensed deep learning framework that tries to add a touch of zen to deep learning as it allows for Pythonic programming.