Search Results for "3d graph renderer"
Sort By:
Showing 10 open source projects for "3d graph renderer"
View related business solutions-
AI-powered service management for IT and enterprise teamsGive your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.
-
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
-
1
PixiJS
The HTML5 Creation Engine
PixiJS is a fast and lightweight 2D rendering library that lets you create rich, interactive graphics, cross platform applications, and HTML5 games even without prior knowledge of WebGL. It’s a fantastic tool for creating rich, interactive content and with built-in cross platform compatibility and graceful degradation, there’s less work for you and more space for fun and creativity! PixiJS works across all devices and is incredibly fast. If you want to create exceptional experiences without... -
2
rtabmap
RTAB-Map library and standalone application
...A memory management approach is used to limit the number of locations used for loop closure detection and graph optimization so that real-time constraints on large-scale environments are always respected. RTAB-Map can be used alone with a handheld Kinect, a stereo camera or a 3D lidar for 6DoF mapping, or on a robot equipped with a laser rangefinder for 3DoF mapping. -
3
PyG
Graph Neural Network Library for PyTorch
PyG (PyTorch Geometric) is a library built upon PyTorch to easily write and train Graph Neural Networks (GNNs) for a wide range of applications related to structured data. It consists of various methods for deep learning on graphs and other irregular structures, also known as geometric deep learning, from a variety of published papers. In addition, it consists of easy-to-use mini-batch loaders for operating on many small and single giant graphs, multi GPU-support, DataPipe support, distributed graph learning via Quiver, a large number of common benchmark datasets (based on simple interfaces to create your own), the GraphGym experiment manager, and helpful transforms, both for learning on arbitrary graphs as well as on 3D meshes or point clouds. ... -
4
PortableGL
An implementation of OpenGL 3.x-ish in clean C
...This lightweight graphics library allows OpenGL-style rendering without GPU acceleration, making it ideal for educational use, debugging, embedded systems, and retro-style software rendering. Because it mirrors OpenGL syntax and design, it can act as a drop-in CPU renderer for testing or deploying 3D graphics on platforms without GPU support. -
Gemini 3 and 200+ AI Models on One PlatformBuild generative AI apps with Vertex AI. Switch between models without switching platforms.
-
5
miniaudio
Audio playback and capture library written in C,
miniaudio is written in C with no dependencies except the standard library and should compile cleanly on all major compilers without the need to install any additional development packages. All major desktop and mobile platforms are supported. miniaudio gives you complete flexibility. With the low-level API, just initialize a connection to the device and send or receive raw audio data. The modular design of miniaudio allows you to use the low-level API without compromising your ability to... -
6
PyTorch Geometric
Geometric deep learning extension library for PyTorch
It consists of various methods for deep learning on graphs and other irregular structures, also known as geometric deep learning, from a variety of published papers. In addition, it consists of an easy-to-use mini-batch loader for many small and single giant graphs, a large number of common benchmark datasets (based on simple interfaces to create your own), and helpful transforms, both for learning on arbitrary graphs as well as on 3D meshes or point clouds. We have outsourced a lot of... -
7
DIG
A library for graph deep learning research
The key difference with current graph deep learning libraries, such as PyTorch Geometric (PyG) and Deep Graph Library (DGL), is that, while PyG and DGL support basic graph deep learning operations, DIG provides a unified testbed for higher level, research-oriented graph deep learning tasks, such as graph generation, self-supervised learning, explainability, 3D graphs, and graph out-of-distribution. -
8
gradslam
gradslam is an open source differentiable dense SLAM library
gradslam is an open-source framework providing differentiable building blocks for simultaneous localization and mapping (SLAM) systems. We enable the usage of dense SLAM subsystems from the comfort of PyTorch. The question of “representation” is central in the context of dense simultaneous localization and mapping (SLAM). Newer learning-based approaches have the potential to leverage data or task performance to directly inform the choice of representation. However, learning representations... -
9
QuesoGLC
free implementation of the OpenGL Character Renderer
QuesoGLC is a free implementation of the OpenGL Character Renderer. QuesoGLC is based on the FreeType library, provides Unicode support, and is designed to be easily ported to any platform that supports both FreeType and the OpenGL API. -
Full-stack observability with actually useful AI | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
-
10
Open PHIGS
PHIGS (Programmer's Hierarchical Interactive Graphics System)
PHIGS is an API standard for rendering 3D computer graphics. During the 1990's OpenGL became a more popular 3D API for professionals, and it still is today. PHIGS remains to be widely used in the film industry. Open PHIGS uses OpenGL for rendering graphics rather than implementing it's own abstraction layer to the graphics hardware, or using the PHIGS Extension to X (PEX).
- Previous
- You're on page 1
- Next
