Software simulation for Android hardware-backed key pairs with key attestation
DeepGEMM-Ascend: clean and efficient matrix multiplication kernel library for Huawei Ascend NPUs
AWTRIX NG - Next generation firmware for Matrix clocks
An Adafruit GFX Compatible Library for the ESP32/S2/S3/P4 to drive HUB75 LED matrix panels using DMA for high refresh rates. Supports panel chaining.
Converts decrypted PS5 game dumps into native Windows executables via binary relinking, replacement system libraries, and Vulkan. No CPU emulation.
Optimized implementation for color-icon-matrix barcodes
CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python, Matlab/Octave, Julia or Javascript
Controlling up to three chains of 64x64, 32x32, 16x32 or similar RGB LED displays using Raspberry Pi GPIO
RP2350 mod for IKEA Kortlinje LED matrix alarm clock
Unofficial AWTRIX NG for the Ulanzi TC002: native 52x16 display, web UI and upstream MQTT compatibility. Built on Blueforcer’s AWTRIX NG.
Lightning — a native Qt 6/QML Matrix desktop client (C++20 + official Rust Matrix SDK). GPL-3.0-or-later. Downloads and install guides: https://www.lightning-matrix.org · Mirror of the canonical source at https://gitlab.smetonis.net/Mizerd/lightning · Bug reports and questions welcome in this repo's issues, or in #lightning:matrix.smetonis.net
FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/
ESPTimeCast™ is a sleek, WiFi-connected LED matrix clock and weather display built on ESP8266/ESP32 and MAX7219. It combines real-time NTP time sync, live OpenWeatherMap updates, and a modern web-based configuration interface — all in one compact design.
Tuned OpenCL BLAS
Math library using HLSL syntax with multiplatform SIMD support
Programmable CUDA/C++ GPU Graph Analytics