Find similar content

Source channel @githubtrending · Post #15304 · Dec 4

#cplusplus#cross_platform Lynx is an open-source framework that lets you build native mobile and web apps using web skills like CSS and React from a single codebase. It delivers true native performance through a dual-threaded architecture that separates UI rendering from business logic, eliminating lag and enabling instant app launches. This means you can write code once and deploy across Android, iOS, and web platforms, saving development time and costs while maintaining the speed and responsiveness of native applications. https://github.com/lynx-family/lynx

Hashtags

#cplusplus #cross_platform

Results

1 similar post found

Search: #tfdeploy

当前筛选 #tfdeploy清除筛选

djangoproject

@djangoproject · Post #274 · 03/18/2017, 01:48 AM

Find similar View

https://github.com/riga/tfdeploy Google's TensorFlow framework is taking off big-time now that it's at a full 1.0 release. One common question about it: How can I make use of the models I train in TensorFlow without using TensorFlow itself? #Tfdeploy is a partial answer to that question. It exports a trained TensorFlow model to "a simple #NumPy-based callable," meaning the model can be used in Python with Tfdeploy and the the NumPy math-and-stats library as the only dependencies. Most of the operations you can perform in TensorFlow can also be performed in Tfdeploy, and you can extend the behaviors of the library by way of standard Python metaphors (such as overloading a class). Now the bad news: Tfdeploy doesn't support GPU acceleration, if only because NumPy doesn't do that. Tfdeploy's creator suggests using the gNumPy project as a possible replacement. #Machine_learning

Hashtags

#tfdeploy #numpy #machine_learning