Trying to replicate what this legend did: https://youtu.be/kCGHXlLR3l8
Gpu Accelerated Library for Analysing Radio Interferometer Observations
GPU-accelerated GUI development for the desktop and the browser
A gpu accelerated neural network Rust crate.
The code GeoFlood is a new distributed parallel adaptive computational model for overland flows based on shallow water equations on mapped logically Cartesian adaptive meshes. The model is written in C, C++, CUDA, and Fortran and uses the ForestClaw library.
RocAuc Pairiwse objective for gradient boosting
A* ( Star) algorithm for dynamic graphs on GPU
High-performance TTS API with voice cloning, emotion control, and synchronous MP3 generation. Built with FastAPI and powered by Chatterbox TTS.
While there's no Torch in the browser, there's still Candle. Candle.js is a GPU-accelerated library to make running PyTorch models in the browser a bit easier. It also serves as a tensor computation library.
Cuda Graph Library is a CUDA library that offers a set of parallel graph algorithms.
OpenCL Accelerated Deep Learning for Java using Aparapi
A highly compliant C++ gpu accelerated html5 rendering engine as a (mostly) single header C++ zero-dependency lib - designed to run real-world web UI frameworks without embedding a browser, using electron. Also bundles a full gradio/dearimgui style C++/python ui api.
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