Gpu Acceleration
Showing 31 of 175 projects
A pure Go, GPU-accelerated 2D graphics library for building IDEs, browsers, and graphics-intensive applications.
A compact spiking neural network library built on JAX and Haiku, offering high-performance training via surrogate gradient descent and neuroevolution.
A production-ready deep learning framework for Go that enables training and deploying neural networks as single binaries with a PyTorch-like API.
A deep belief net and deep learning implementation written in F# with GPU acceleration via Alea.cuBase.
A GPU-accelerated (CUDA) C++ template library for building and training artificial neural networks, including self-organizing maps and back-propagation networks.
An ActionScript 3 library for parsing OpenType fonts and rendering them with GPU acceleration via Stage3D.
A pre-configured Docker image with deep learning frameworks, data science tools, and GPU support for rapid environment setup.
A modular MATLAB-based platform for analyzing super-resolution microscopy (SMLM) data with GPU-accelerated fitting.
A learning-focused, high-performance tensor computation library built from scratch in Rust with automatic differentiation and CPU/CUDA backends.
A tiny GPU-based UI library for Stage3D that renders the entire interface in a single draw call.
Kernex extends JAX with kmap and kscan for differentiable stencil computations, enabling efficient array transformations.
A Deno module for matrix, ndarray, and tensor operations accelerated by WebGPU and WASM.
A lightweight deep learning library written in C++ with C, C#, and Python interfaces, supporting CPU and GPU computation.
GPU/TPU accelerated nonlinear least-squares curve fitting using JAX, designed as a drop-in replacement for SciPy's curve_fit.
Rust bindings for LightGBM, enabling gradient boosting for machine learning tasks in Rust.
A Godot engine module for real-time head tracking using OpenCV with GPU acceleration for immersive 3D perspective.
Ultra high-performance secp256k1 ECC engine with GPU acceleration, continuous adversarial audit, and multi-language bindings.
A Ruby deep learning library supporting fully connected, convolutional, and recurrent neural networks.
A window-based hybrid stream processing engine that leverages both CPU and GPU resources for high-performance data analytics.
A Dockerfile generator for running OpenGL applications with CUDA, ROS, and Gazebo on headless servers via VirtualGL and VNC.
A Python library for building and training feedforward neural networks with GPU support and mini-batch learning.
A 1D3V particle-in-cell simulation code for plasma physics, accelerated using JAX for performance on CPUs, GPUs, and TPUs.
A Python library for processing lattice light-sheet microscopy data, automating parameter detection and image corrections.
A framework-agnostic library for implementing GPU-accelerated layout animations using the Layout Projection technique.
MXNet bindings for the Crystal programming language, enabling deep learning and machine learning development.
A discontinued ActionScript 3 game engine for 2D GPU-accelerated rendering using Stage3D.
A GPU-accelerated V module for real-time vector shape rendering using sokol.sgl.
A GPU-based height-field fluid simulation solver for GameMaker Studio 2.3+ with customizable visual effects.
A ROS2 template node for running PyTorch C++ models with CUDA support in a Docker environment.
A ZSH plugin that toggles optirun on the current command line with a keybind.
A Python machine learning library with CPU and GPU support for tensor operations and model development.
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