Find similar content

Source channel @githubtrending · Post #15413 · Jan 14

#powershell#ai#bloatware#bloatware_removal#copilot#debloat#generative_ai#image_creator#optimizer#powershell#privacy#recall#rewrite#security#windows This PowerShell script removes all AI features from Windows 11 (like Copilot, Recall, AI in Paint/Notepad/Edge), disables registry keys, deletes packages/files, prevents reinstalls, and offers classic app replacements with backup/revert options. Run it as admin via UI or commands for a cleaner system. You gain better privacy, security, faster performance, and no unwanted bloat—full control over your PC. https://github.com/zoicware/RemoveWindowsAI

Hashtags

#powershell #ai #bloatware #bloatware_removal #copilot #debloat #generative_ai #image_creator #optimizer #privacy #recall #rewrite #security #windows

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