Search Results for "classification"

...The project bundles runnable samples that show how to run TensorFlow Lite/Edge TPU models (and similar lightweight runtimes) on mobile and embedded platforms, demonstrating common tasks like image classification, object detection, audio recognition, and pose estimation. Each sample is intended to be both a learning aid and a practical starting point: code is organized to show model loading, pre/post-processing, performance measurement, and common optimization knobs (quantization, NNAPI/Delegate usage, and hardware accelerators). The repo also collects small, well-documented models and conversion scripts so developers can reproduce a pipeline from a full-size model down to a device-friendly artifact.

AudioEnhancerMAX is the open-source AI-powered audio media center for podcasters, creators, and professionals. It runs 100% locally on your hardware — no cloud, no subscriptions, no limits. Features: 16+ intelligent audio filters (AI noise removal, filler word detection, breath reduction, studio sound, audio super-resolution), Gemma 4 AI dynamic parameter tuning, distributed edge computing across Android smartphones, real-time system monitoring for Apple Silicon. Built with FastAPI,...

MBR WP Performance is the WordPress optimisation plugin for users who want real control. Instead of hiding complexity behind a single button, it provides transparent, granular controls for every performance technique—so you understand exactly what each feature does. Core Features: Disable WordPress features that you don’t need. Self-host and preload Google Fonts, lazy load images and videos, defer/delay JavaScript execution, generate and inline critical CSS, preload critical resources,...

...It also highlights privacy-aware patterns and cautions that this kind of software must not replace licensed medical advice. As a teaching and ideation vehicle, the project invites contributors to iterate on intent classification, response templates, and safe-use boundaries.

...It provides many useful high performance algorithms for image processing such as: pixel format conversion, image scaling and filtration, extraction of statistic information from images, motion detection, object detection (HAAR and LBP classifier cascades) and classification, neural network. The algorithms are optimized with using of different SIMD CPU extensions. In particular the library supports following CPU extensions: SSE, SSE2, SSE3, SSSE3, SSE4.1, SSE4.2, AVX, AVX2 and AVX-512 for x86/x64, VMX(Altivec) and VSX(Power7) for PowerPC, NEON for ARM. The Simd Library has C API and also contains useful C++ classes and functions to facilitate access to C API. ...

...Dynamic-GRLVQ (DGRLVQ), which adapts the model complexity to the given problem during training by adding or removing prototypes dynamically/realtime one by one for each category until satisfactory classification results are achieved.

NXLog is a modular, multi-threaded, high-performance log management solution with multi-platform support. In concept it is similar to syslog-ng or rsyslog but is not limited to unix/syslog only. It can collect logs from files in various formats, receive logs from the network remotely over UDP, TCP or TLS/SSL . It supports platform specific sources such as the Windows Eventlog, Linux kernel logs, Android logs, local syslog etc. Writing and reading logs to/from databases is also supported....