Search Results for "android custom kernel"

Material Design "Snackbar" component for Android and iOS. Supports custom colors, fonts, and languages. Snackbars are used to display a brief message to the user, along with an optional action. They animate up from the bottom of the screen and then disappear shortly afterward.

...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 interfacing with private classes such as _ANEClient and compiling custom compute graphs in the MIL format. The project includes performance benchmarks and kernel breakdowns that show how different components of the training loop are distributed between the ANE and CPU. It is primarily intended as a research and educational proof of concept rather than a production library, highlighting what is technically possible with undocumented hardware access.

A speech-to-text library for React Native. Manually or automatically link the NativeModule. Drag the Voice.xcodeproj from the @react-native-voice/voice/ios folder to the Libraries group on Xcode in your project. Click on your main project file (the one that represents the .xcodeproj) select Build Phases and drag the static library, lib.Voice.a, from the Libraries/Voice.xcodeproj/Products folder to Link Binary With Libraries. The plugin provides props for extra customization. Every time you...

Join official telegram group: https://t.me/luciferkernel Kernel stage Changed to Beta. Features: →Added F2FS Rapid Gc. → CPU OC to 3.1Mhz (OC Build Only) → GPU OC to 850Mhz (OC Build Only) → Reduced GPU idle time to 64ms → Added DTS-Eagle. → CPU undervolted upto 10% → Improved thermals. → Added Sound tweaks. → Added Boeffla Wakelocker → Added State Notifier → Added Adreno Idler → Added Adreno Boost → Added dynamic SchedTune boost. → Added Klapse → Added KCAL → Added BFQ...

Tangram is a UI Framework for building a fast and dynamic ScrollView. The system requirement for Tangram is iOS 7.0+. JSON to View can be very easy by use our default parser. You can open TangramDemo to see how to transfer JSON to view. The default parsers are the same in the two platforms (Android and iOS).

Based on the success of the "open source android project": https://sourceforge.net/projects/deskpets/ We are now also putting up the iphone app as another open source project for developers who is interested in working out their custom ios app to control our products.