Search Results for "operations research"

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...

New version 0.5.2.1 Released December 29th 2025. Snowmix is a Swiss army knife tool for mixing live and recorded video and audio feeds. It supports 2D and 3D clipping, scaling and transparent overlay of video, png graphics and text. It supports animation of video, images and texts through native commands changing scale, placement, transparency and rotation. Animation and actions can also be controlled through native scripting and an embedded Tcl and/or Python interpreter. Snowmix is...

p3d is a general data-reduction tool for use with fiber-fed integral-field spectrographs (IFSs); although, the spectrum viewer works with spectrum data cubes of any origin. The tool is built about the proprietary software IDL (Harris/EXELIS; see http://www.harrisgeospatial.com), but can be used without any license. Most slowly running loops are implemented in parallelized C (OpenMP).

This project extends the Proximus development environment to support deployment of AI workloads on next-generation AMD Ryzen™ AI processors, such as the Ryzen™ AI 7 PRO 7840U featured in the Lenovo ThinkPad T14s Gen 4 ,one of the first true AI PCs with an onboard Neural Processing Unit (NPU) capable of 16 TOPS (trillion operations per second). Originally designed for use with Windows 11 Pro, this runtime was further enhanced to work under Linux environments, allowing developers and researchers to fully utilize the AMD AI Engine across both platforms. This cross-platform support is a major innovation, enabling AI workload portability, integration into CI environments, and deployment into Linux-based research and production pipelines.

...The tools include network exploitation scripts, backdoors, and frameworks targeting a range of platforms and services, many of which highlight previously unknown vulnerabilities. While the repository itself is provided for educational and research purposes, it also reflects a significant historical moment in cybersecurity, influencing both defensive strategies and awareness of advanced persistent threats. The release offers researchers insight into real-world offensive techniques, though many of the specific exploits are now outdated or patched. EQGRP remains a controversial but important resource for studying the evolution of nation-state-level cyber operations.

...The library’s design emphasizes flexibility and modularity, supporting advanced features like default scopes, parameter templates, and variable reuse. It also allows easy integration with custom operations and third-party libraries, making it ideal for both research experimentation and production-grade modeling. By combining TensorFlow’s power with an intuitive builder-style API, Pretty Tensor accelerates model development without sacrificing transparency or control.

Fast Neurite Tracer (FNT) is a tool for semi-automated neurite tracing. FNT can handle big imaging data such as fMOST data. It can also process other types of light imaging data in general. FNT is designed to be * accurate in tracing (each tracing step needs your confirmation), * fast (operations using computer mouse is reduced with automatic searching), * scalable (large volume data of tera-bytes in size are supported). Other features include * the results can be exported to...