Search Results for "ai framework"

SCAIL is a project developed by the ZAI Organization, focusing on AI-driven research initiatives. While specific documentation about SCAIL’s exact goals and implementation is limited from the repository context alone, the project appears to be part of a collection of machine learning and AI research tools that facilitate scalable model development, evaluation, or application workflows. Given its listing alongside other ZAI projects like speech recognition and text-to-speech systems, SCAIL...

Mesh R-CNN is a 3D reconstruction and object understanding framework developed by Facebook Research that extends Mask R-CNN into the 3D domain. Built on top of Detectron2 and PyTorch3D, Mesh R-CNN enables end-to-end 3D mesh prediction directly from single RGB images. The model learns to detect, segment, and reconstruct detailed 3D mesh representations of objects in natural images, bridging the gap between 2D perception and 3D understanding. Unlike voxel-based or point-based approaches, Mesh...

App Store Screenshots Generator project is an AI-assisted automation tool that generates production-ready App Store screenshots for iOS applications, focusing on marketing-quality visuals rather than raw UI captures. It works by guiding developers through a structured prompt process where they describe their app’s features, branding, and style preferences, and then automatically builds a screenshot generation system using a Next.js-based framework.

VGGSfM is an advanced structure-from-motion (SfM) framework jointly developed by Meta AI Research (GenAI) and the University of Oxford’s Visual Geometry Group (VGG). It reconstructs 3D geometry, dense depth, and camera poses directly from unordered or sequential images and videos. The system combines learned feature matching and geometric optimization to generate high-quality camera calibrations, sparse/dense point clouds, and depth maps in standard COLMAP format.

lottie is an open-source framework for generating production-ready Lottie animations with coding agents such as Claude Code or Codex. It provides a text-to-lottie skill that helps an agent create animation projects from prompts, SVGs, screenshots, real data, or motion design instructions. Each generated animation lives as a scene inside a project and updates inside the included player as the agent edits the Lottie JSON.

...To learn for library please try to use test examples at OpenCezeriLibrary\test\test. It is originally developed at el-cezeri laboratory of Siirt University, in order to establish generic framework of reusable components and software tools for machine vision, machine learning, AI and robotic applications. Currently, it holds following main concepts 1- Vision: It can access web cams, imaging source industrial cameras for manuel settings and advanced issues. Studies on accesing Leapmotion and Kinect is still under-development. 2- Machine learning: It uses Weka Software tool and some personel coded ML algorithms 3- CMatrix: Special matrix library called as CMatrix meaning Cezeri Maztrix Class. ...

A flexible, generic, and extensible framework for creating game engines. The framework supports many of the features of modern game engines, including 3-D graphics, AI, physics, audio, scripting, and networking. It is written in C++ and is cross-platform