Gpu Accelerated
Showing 16 of 16 projects
A fast, cross-platform, OpenGL terminal emulator with extensive configuration and high performance.
A GPU-accelerated cross-platform terminal emulator and multiplexer written in Rust.
A Python package for deep learning on graphs, framework-agnostic and optimized for performance and scalability.
A PyTorch library providing efficient, reusable components for deep learning with 3D data, including mesh operations and differentiable rendering.
An open-source application that stabilizes video using gyroscope and accelerometer data from cameras or external devices.
An immediate mode, GPU-accelerated plotting library for Dear ImGui, designed for real-time data visualization.
A web application for training deep learning models with a focus on computer vision tasks.
A GPU-accelerated, cross-platform C++ UI library with MVVM, data binding, and XML-based UI description.
A collection of GPU-accelerated graph analytics libraries for creating, manipulating, and executing scalable graph algorithms.
A header-only C++ library for CUDA providing accelerated primitives for solving irregularly parallel problems on GPUs.
A plug-and-play script to crack password hashes using pre-configured, empirically-tuned hashcat attacks.
An object-oriented machine learning framework built on JAX, designed for simplicity and readability in research.
A GPU-accelerated, cross-platform UI framework with a declarative builder API, spring physics animations, and first-class state machines.
A pure Go, enterprise-grade GUI toolkit with GPU-accelerated rendering, reactive state, and modern widgets for building desktop applications.
An R package for high-performance WebGL rendering of large datasets on Leaflet maps.
An open-source scientific visualization tool for exploring and presenting volumetric datasets like tomography and electron-microscopy data.
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