Find similar content

Source channel @githubtrending · Post #15256 · Nov 1

#other GitHub Copilot CLI lets you use AI coding help right in your terminal, so you can build, edit, debug, and understand code by just talking to it naturally. It works with your GitHub account to access your repos, issues, and pull requests without leaving the command line. You stay in full control by approving every action before it runs. It supports Linux, macOS, and Windows, and you install it easily with npm. This tool speeds up coding by bringing AI assistance directly where you work, reducing context switching and making development faster and smoother. https://github.com/github/copilot-cli

Hashtags

#other

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