Search Results for "mesh network"

Sideband is a privacy-focused, peer-to-peer mesh messaging protocol and platform that allows users to communicate directly over local networks or the internet without servers. It emphasizes metadata resistance and secure message delivery, working effectively in offline, low-bandwidth, or disaster recovery scenarios. Built-in Rust, Sideband supports encrypted group messaging, file transfers, and network self-discovery.

DocArray is a library for nested, unstructured, multimodal data in transit, including text, image, audio, video, 3D mesh, etc. It allows deep-learning engineers to efficiently process, embed, search, recommend, store, and transfer multimodal data with a Pythonic API. Door to multimodal world: super-expressive data structure for representing complicated/mixed/nested text, image, video, audio, 3D mesh data. The foundation data structure of Jina, CLIP-as-service, DALL·E Flow, DiscoArt etc. ...

wg-meshconf is a Python command-line tool for generating configuration files for full-mesh WireGuard networks. It stores peer information in a CSV database that can be edited directly with spreadsheet software or managed through commands. Users define peers with properties such as names, addresses, endpoints, ports, and routing information. The generator then creates WireGuard configuration files for every peer or for a selected node. This removes much of the repetitive key and peer...

point-e is the official repository for Point-E, a generative model developed by OpenAI that produces 3D point clouds from textual (or image) prompts. Its principal advantage is speed: it can generate 3D assets in just 1–2 minutes on a single GPU, which is significantly faster than many competing text-to-3D models. The model works via a two-stage diffusion approach: first, it uses a text → image diffusion network to produce a synthetic 2D view consistent with the prompt; then a second...

MeshCNN is a deep learning framework designed specifically for processing 3D triangular mesh data using convolutional neural networks. Unlike traditional CNNs that operate on images or voxel grids, MeshCNN performs convolution operations directly on the edges of mesh structures. This design allows the model to capture geometric relationships between mesh elements while preserving the underlying topology of 3D shapes. The framework introduces specialized layers such as edge-based convolution,...

DensePose is a computer vision system that maps all human pixels in an RGB image to the 3D surface of a human body model. It extends human pose estimation from predicting joint keypoints to providing dense correspondences between 2D images and a canonical 3D mesh (such as the SMPL model). This enables detailed understanding of human shape, motion, and surface appearance directly from images or videos. The repository includes the DensePose network architecture, training code, pretrained models, and dataset tools for annotation and visualization. DensePose is widely used in augmented reality, motion capture, virtual try-on, and visual effects applications because it enables real-time 3D human mapping from 2D inputs. ...

...Let's Vegastrike be evolved , with new goals : _Dynamic Market system , better AI , mission and campain editor , etc ... _MMO : Create somewhere a dedicated host to help debug the actual working network code . Artists ( Sound , Image , Video , Mesh modelling , Animation ) and Devs are welcome ! Our ShipYard : https://sourceforge.net/p/vegastrikevo/wiki/Shipyard/ Checkout for alpha version : https://sourceforge.net/p/vegastrikevo/svn/HEAD/tree/branch/VS_evolved_v1.0/

The main idea of this project – to implement the solution that can be used to: construct custom network mesh or distributed network cluster structure with several relations types between nodes, formalize the data flow processing goes from upper node level central source point to down nodes and backward, formalize the management requests handling from multiple source points, support native reducing of multiple nodes results (aggregation, duplicates elimination, sorting and so on), internally support powerful full-text search engine and data storage, provide transactions-less and transactional requests processing, support flexible run-time changes of cluster infrastructure, have many languages bindings for client-side integration APIs in one product build on C++ language... ...

DogoIDS is an open-source active-probing-based network intrusion detection system (AP-NIDS) for wireless multihop networks (MANETs, Wireless Mesh Networks, Sensor Networks, etc). At this stage, DogoIDS only support the IEEE 802.11s standard for Wireless Mesh Networks. DogoIDS is now under construction in a very early stage and mainly for research purposes. However, we aim to release a stable version ready for production soon. *** IMPORTANT *** We uploaded the very first experimental implementation of DogoIDS (still alpha), so expect to find bugs. ...

Nexus is a P2P mesh networking platform for running scripts that operate across multiple distributed host computers. The mesh allows the network nodes to exist on physically isolated networks provided that they can access at least one common node.

File transfer using shared Folders in a local network with automatic synchronization. Also P2P-Folders will be implemented in the 2nd stage. Take advantage of Mesh-Network technologies for LAN operation.