Gpu
Showing 36 of 113 projects
A Python package for tensor computation with GPU acceleration and dynamic neural networks built on a tape-based autograd system.
Alacritty is a fast, cross-platform terminal emulator powered by OpenGL.
A fast, cross-platform, OpenGL terminal emulator with extensive configuration and high performance.
A macOS system monitor that displays real-time CPU, GPU, memory, disk, network, and sensor data in the menu bar.
A deep learning library built on PyTorch that provides high-level components for rapid results and low-level components for research flexibility.
A deep learning library built on PyTorch that provides high-level components for rapid results and low-level components for research flexibility.
A cross-platform, safe, pure-Rust graphics API that runs natively on Vulkan, Metal, D3D12, OpenGL, and WebGPU.
A deprecated wrapper that enabled Docker containers to access NVIDIA GPU resources.
A comprehensive JVM-based deep learning ecosystem for building, training, and deploying models with support for model import and distributed training.
An open-source inference serving platform for deploying AI models from multiple frameworks across cloud, data center, and edge devices.
GPU & Accelerator process monitoring for AMD, Apple, Huawei, Intel, NVIDIA and Qualcomm
An open-source, low-code Python library that automates end-to-end machine learning workflows.
A GPU-accelerated DataFrame library for tabular data processing, part of the RAPIDS data science suite.
An LLM acceleration library for Intel XPU (GPU, NPU, CPU) to speed up local inference and finetuning of popular models.
A mesh optimization library that makes 3D meshes smaller and faster to render through vertex/index optimization, simplification, and compression.
A flexible Python deep learning framework using define-by-run dynamic computational graphs for neural network research.
A high-performance TensorFlow library for quantitative finance, providing mathematical methods, pricing models, and calibration tools.
A low-level web API and shading language specification for high-performance GPU compute and graphics on the web.
Specification for the WebGPU API and WGSL shading language, enabling high-performance GPU access for web applications.
A low-level, cross-platform graphics and compute abstraction library for Rust with a Vulkan-like API.
A suite of GPU-accelerated machine learning algorithms with scikit-learn compatible APIs for 10-50x faster performance on large datasets.
A Linux tool for monitoring and configuring AMD, Nvidia, and Intel GPUs, including overclocking, fan control, and power management.
A C++ parallel algorithms library that enables high-performance computing on GPUs and multicore CPUs with a productivity-focused interface.
A local-first, ML-powered desktop application for translating manga, built in Rust with automated text detection, OCR, inpainting, and LLM translation.
A library of optimized communication primitives for multi-GPU and multi-node collective operations.
A general-purpose tensor library for parallel computing across CPUs, GPUs, and hardware accelerators.
A command-line utility for querying and monitoring NVIDIA GPU status with a human-readable output.
A web application for training deep learning models with a focus on computer vision tasks.
A composable image editor for iOS with customizable UI components, powered by Core Image and Metal.
A composable image editor for iOS with customizable UI components, powered by Core Image and Metal.
A realtime CPU/GPU profiler hosted in a single C file with a remote web viewer for performance analysis.
A WebGPU-accelerated TypeScript charting library for rendering millions of data points at 60 FPS with interactive dashboards.
A .NET library to run C# code in parallel on the GPU through DX12 and D2D1, generating HLSL shaders dynamically.
A lightweight, open-source 2D game engine for ActionScript 3 that leverages GPU acceleration via Stage3D for cross-platform deployment.
A tiny JavaScript library that reduces WebGL verbosity by providing concise helper functions for shaders, buffers, uniforms, and textures.
Multi-dimensional arrays (tensors) and numerical definitions for Elixir, enabling machine learning and scientific computing.
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