Search Results for "network analysis"

ANE Training is an experimental research project that demonstrates how to train neural networks directly on Apple’s Neural Engine by leveraging reverse-engineered private APIs that are normally inaccessible to developers. The repository implements a from-scratch transformer training pipeline capable of running both forward and backward passes on ANE hardware without relying on CoreML, Metal, or GPU acceleration. It explores the internal software stack of the Apple Neural Engine by...

MTHawkeye is profiling, and debugging tools for iOS used in Meitu. It's designed to help iOS developers improve development productivity and assist in optimizing the App performance. During the App product development cycle, we introduced MTHawkeye to help us discover, find, analyze, locate, and solve problems faster. Development phase, focusing on development and debugging assistance, detect problems in a timely manner, and prompt developers to deal with them. Test phase, focusing on...

LLDebugTool is a powerful in-app debugging tool for iOS that provides detailed insights into app performance, logs, network requests, and crash data. It offers a floating window for developers to monitor the app in real-time without external tools.

MacVisSTA: Macintosh Visualization for Situated Temporal Analysis. This is an open source system designed for Mac OS X. This software permits visualization of multiple time-synchronized videos in conjunction with one or more graphical plots/annotations.

Dent is a project focused upon network modeling and analysis tools. The project currently supports an OS X, Cocoa-based application and technologies based upon the Mozilla framework.

This framework provides basic components for acquiring, broadcasting, analyzing and storing the continuous geophysical data. Written on Objective-C and using GNUstep Foundation (Base) framework or Apple Foundation framework.

Software Engineering project. Prototype of a navigation system simulator.