Search Results for "gpu" - Page 2
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Showing 40 open source projects for "gpu"
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1
ort
Fast ML inference & training for ONNX models in Rust
ort is a high-performance Rust library that provides bindings to ONNX Runtime, enabling developers to run machine learning inference and training workflows directly within Rust applications using the standardized ONNX model format. It is designed to bridge the gap between modern machine learning frameworks and systems programming by offering a safe, ergonomic API for executing models originally built in ecosystems like PyTorch, TensorFlow, or scikit-learn. The library emphasizes speed and... -
2
terminal-browser
A browser that runs directly inside your existing terminal
...It renders browser pixels through terminals that support the Kitty graphics protocol, including Ghostty, Kitty, cmux, and compatible VS Code environments. Electron’s offscreen rendering API captures Chromium output directly from the GPU for smooth display. Mouse, keyboard, scrolling, and trackpad input are translated into browser events, with a background Swift component handling signals the terminal cannot expose. A Rust graphics engine draws the browser shell, while React and TypeScript define its interface through a custom renderer. The CLI can open URLs, create split panes, list browser instances, and expose agent-compatible actions. ... -
3
Cog
Package and deploy machine learning models using Docker containers
...Developers can define the runtime environment, dependencies, and Python versions required for their models, allowing Cog to build a consistent container environment that follows best practices. Cog also resolves compatibility issues between frameworks and GPU libraries by automatically selecting compatible combinations of CUDA, cuDNN, and machine learning frameworks such as PyTorch or TensorFlow. Cog automatically generates a RESTful HTTP API for running predictions, enabling models to be accessed programmatically through a built-in prediction server. -
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rspirv
Rust implementation of SPIR-V module processing functionalities
...It’s part of the gfx-rs ecosystem, a suite of graphics tools aiming to provide cross-platform rendering capabilities in Rust. rspirv enables manipulation and inspection of SPIR-V modules, which is useful in shader compilers, graphics drivers, and development tools for low-level GPU programming. The library strictly follows the SPIR-V specification and is used in projects that need to generate, analyze, or modify shaders dynamically. -
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5
PostgresML
The GPU-powered AI application database
PostgresML is a complete platform in a PostgreSQL extension. Build simpler, faster, and more scalable models right inside your database. Explore the SDK and test open source models in our hosted database. Combine and automate the entire workflow from embedding generation to indexing and querying for the simplest (and fastest) knowledge-based chatbot implementation. Leverage multiple types of natural language processing and machine learning models such as vector search and personalization... -
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Free Fps. Video FPS Converter
Desktop app to change a video FPS
Free FPS is an open‑source desktop app and scripts to change a video file frame rate (FPS) using FFmpeg. Unlike video editors, it does not add effects or alter content - it only adjusts playback speed and, if needed, re-encodes audio as well. Useful if you work with multiple videos shot at different frame rates that cannot be combined or edited without interpolation or frame loss. Also doubles as a fast video compressor: keep the original FPS and raise compression (e.g., higher CRF or... -
7
NebiOS Alternative Mirror (Official)
A unique Ubuntu-based Linux OS with its own desktop and ecosystem.
...Main site: https://nebios.org 📌 This mirror page is updated less frequently than the main site. For the latest information, visit https://nebios.org ⚠️ Don't download from unknown sources. ⚠️ Virtual machines: NebiOS X requires GPU acceleration. Most hypervisors (VirtualBox, VMware, GNOME Boxes) will show degraded performance. QEMU with 3D acceleration enabled gives the best VM experience. See FAQ for details. System requirements and pre-installation info: https://nebios.org/download (select your version) Full FAQ: https://nebios.org/support/faq -
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lamco-rdp-server
A full-featured Wayland-native RDP server for Linux written in Rust.
lamco-rdp-server is a native Wayland RDP server for Linux desktops. It provides remote desktop access using the standard RDP protocol, so you can connect from any RDP client: Windows Remote Desktop, FreeRDP, Remmina, or others. It supports multiple screen capture and input backends: * xdg-desktop-portal: works with GNOME, KDE Plasma, and other portal-compatible compositors * Native wlroots protocols: works with Sway, Hyprland, and other wlroots-based compositors The server detects... -
9
WezTerm
GPU-accelerated cross-platform terminal emulator
WezTerm is a GPU-accelerated, cross-platform terminal emulator and multiplexer built in Rust by Wez Furlong. Designed for speed and modern hardware, WezTerm offers smooth rendering and excellent performance on Windows, macOS, and Linux. It supports multiple tabs and panes, configurable keybindings, and integrates well with shell environments. WezTerm is highly customizable and focuses on providing a powerful, flexible terminal experience for developers and system administrators. ... -
Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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10
pipeless
A computer vision framework to create and deploy apps in minutes
...You can easily use industry-standard models, such as YOLO, or load your custom model in one of the supported inference runtimes. Pipeless ships some of the most popular inference runtimes, such as the ONNX Runtime, allowing you to run inference with high performance on CPU or GPU out-of-the-box. You can deploy your Pipeless application with a single command to edge and IoT devices or the cloud. -
11
SIG Rust
Rust language bindings for TensorFlow
SIG Rust provides idiomatic Rust bindings for TensorFlow, making it possible for developers to work with TensorFlow functionality from within the Rust programming language. Rather than replacing TensorFlow itself, it acts as an integration layer that connects Rust applications to the TensorFlow C API. The repository is designed for developers who want Rust’s performance, safety, and systems programming strengths while still accessing TensorFlow’s machine learning capabilities. It includes... -
12
dfdx
Deep learning in Rust, with shape checked tensors and neural networks
Deep learning in Rust, with shape-checked tensors and neural networks. Ergonomics & safety focused deep learning in Rust. -
13
Ambient
The multiplayer game engine
Ambient is an open-source, cross-platform runtime and engine for building and deploying high-performance multiplayer games and 3D applications, using a modern stack built on Rust, WebAssembly (WASM), and WebGPU. It aims to make multiplayer game development accessible and flexible, providing an entity-component-system (ECS) at its core that doubles as a real-time in-game database; everything in the game — from world objects to runtime data — is represented as entities + components, which can... -
14
Forma
An efficient vector-graphics renderer
...The project aims to achieve portability, performance, simplicity, and small footprint through a streamlined four-stage rendering pipeline. Forma provides both CPU (software) and GPU (hardware) backends, relying on Rust’s SIMD auto-vectorization, Rayon for multithreading, and WebGPU (wgpu) for hardware acceleration. The renderer processes Bézier curves, line segments, and pixels through stages of flattening, rasterization, sorting, and painting, updating only changed tiles for efficiency. This design allows Forma to render complex vector scenes—such as large-scale SVGs—at interactive frame rates even on CPUs. -
15
Real-ESRGAN Video Enhance
Real-ESRGAN video upscaler with resumability
...REVE employs a segment-based approach to video upscaling, allowing it to simultaneously upscale and encode videos. This results in a notable enhancement in performance and enables the feature of reusability. You can download Windows executable file for Intel/AMD/Nvidia GPU. This executable file is portable and includes all the binaries and models required. No CUDA or PyTorch environment is needed.