Search Results for "adaptive mesh refinement"
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Showing 25 open source projects for "adaptive mesh refinement"
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Trixi.jl
Trixi.jl: Adaptive high-order numerical simulations of hyperbolic PDEs
Trixi.jl is a numerical simulation framework for hyperbolic conservation laws written in Julia. A key objective for the framework is to be useful to both scientists and students. Therefore, next to having an extensible design with a fast implementation, Trixi.jl is focused on being easy to use for new or inexperienced users, including the installation and postprocessing procedures. -
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OpenMythos
A theoretical reconstruction of the Claude Mythos architecture
...The project explores the idea that instead of stacking hundreds of unique transformer layers, a smaller set of layers can be reused iteratively during inference to achieve deeper reasoning without increasing parameter count. It divides computation into three main stages, including a pre-processing phase, a looped recurrent reasoning block, and a final output refinement stage, creating a structured pipeline for inference. The architecture incorporates advanced techniques such as mixture-of-experts routing, adaptive computation time, and multiple attention mechanisms to dynamically allocate compute where needed. It is highly configurable through a centralized configuration system, allowing experimentation with different architectural parameters such as loop depth, attention type. -
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TreeQuest
A Tree Search Library with Flexible API for LLM Inference-Time Scaling
TreeQuest, developed by SakanaAI, is a versatile Python library implementing adaptive tree search algorithms—such as AB‑MCTS—for enhancing inference-time performance of large language models (LLMs). It allows developers to define custom state-generation and scoring functions (e.g., via LLMs), and then efficiently explores possible answer trees during runtime. With support for multi-LLM collaboration, checkpointing, and mixed policies, TreeQuest enables smarter, trial‑and‑error question answering by leveraging both breadth (multiple attempts) and depth (iterative refinement) strategies to find better outputs dynamically -
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bitchat
bluetooth mesh chat, IRC vibes
bitchat is a decentralized peer-to-peer messaging app that operates over Bluetooth mesh networks, enabling local group chats without the need for internet, servers, or phone numbers. It is designed with privacy and security in mind, offering encrypted private messages and channels alongside a public local chat that requires no registration. -
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Artisan-PY39
Computational tool for lattice generation
Artisan is an implicit modelling & computational engine for generating complex lattice structure. Artisan supports the strut, TPMS and geometric shape lattice infill for any given geometry. It generates beautiful periodic lattice, mesh lattice and conformal lattices without costing of lots of hardware resources. Because the engine is based on Python and C++, Artisan could offer a combined experience of the speedy customized development and computational performance without compromising the quality of modelling results. Key Features: Periodic lattice, mesh lattice and conformal lattice generation; User defined lattice generation; Complex lattice generation based on implicit modelling concept; Smart adaptive algorithm for limited memory usage on sever; GPU computation. ... -
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The Ocean Land Atmosphere Model (OLAM) is a new global general circulation/climate prediction model that will allow to “nest down” to any desired resolution using a flexible mesh refinement technique that works on either triangular or hexagonal g
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PIFuHD
High-Resolution 3D Human Digitization from A Single Image
...The method operates by learning an implicit occupancy / surface function conditioned on the image and camera projection; at inference time it queries dense points to reconstruct a mesh via marching cubes. It also uses a two-stage architecture: a coarse global model followed by local refinement patches to capture fine detail, balancing global consistency and local detail. The repo includes training pipelines, dataset loaders (for Multi-POP, etc.), and inference scripts for mesh output including depth maps for postprocessing. ... -
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Netgen Mesh Generator
NETGEN is an automatic 3d tetrahedral mesh generator
NETGEN is an automatic 3d tetrahedral mesh generator. It accepts input from constructive solid geometry (CSG) or boundary representation (BRep) from STL file format. The connection to a geometry kernel allows the handling of IGES and STEP files. NETGEN contains modules for mesh optimization and hierarchical mesh refinement. Netgen is open source based on the LGPL license. -
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ViennaSHE is a modern semiconductor device simulator for 1D, 2D and 3D device simulation. It relies on deterministic solutions of the Boltzmann Transport Equation using Spherical Harmonics Expansions.
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NOMAD is a C++ code that implements the MADS algorithm (Mesh Adaptive Direct Search) for difficult blackbox optimization problems. Such problems occur when the functions to optimize are costly computer simulations with no derivatives.
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Advanced Numerical Instruments 3D
Advanced numerical instruments: adaptive meshing, FE methods, solvers
Ani3D provides portable libraries for each step in the numerical solution of systems of PDEs with variable tensorial coefficients: (1) unstructured adaptive mesh generation, (2) metric-based mesh adaptation, (3) finite element discretization and interpolation, (4) algebraic solvers. -
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igafem
Open source 3D Matlab Isogeometric Analysis Code
Isogeometric analysis (IGA) is a fundamental step forward in computational mechanics that offers the possibility of integrating methods for analysis into Computer Aided Design (CAD) tools and vice versa. The benefits of such an approach are evident, since the time taken from design to analysis is greatly reduced leading to large savings in cost and time for industry. The tight coupling of CAD and analysis within IGA requires knowledge from both fields and it is one of the goals of the... -
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Advanced Numerical Instruments 2D
Advanced numerical instruments: adaptive meshing, FE methods, solvers
Ani2D provides portable libraries for each step in the numerical solution of systems of PDEs with variable tensorial coefficients: (1) unstructured adaptive mesh generation, (2) metric-based mesh adaptation, (3) finite element discretization and interpolation, (4) algebraic solvers. -
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Handles Hexahedral, Tetrahedral, Quadrilateral, and Triangle meshes. Lagrangian, Hierarchic, and Monomial finite elements. Interface to PETSc solvers, adaptive mesh refinement, and extreme portablility.
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NoCTweak
a Parameterizable Simulator for Early Exploration of Networks On-Chip
A networks-on-chip (NoC) simulator allows designers to early estimate performance (latency and throughput), energy efficiency (average/peak power, average energy per packet) and area of several networks on-chip configurations at different CMOS nodes. This tool is a cycle-accurate simulator and is open-source using SystemC, a C++ plugin, which is used to quickly model complex systems at a higher level but less details than RTL. NoCTweak was developed by Dr. Anh Tran and Dr. Bevan Baas at UC... -
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**Decrepit notice** This project is now being replaced by a much snazzier platform that integrates QGIS and GMSH. See https://launchpad.net/meshing for further details. Project goal is to generate a toolkit for 2D and 3D bathymetric mesh generation via an anisotropic adaptive mesh method. Emphasis is on approximation with clearly defined error goals so that the final model is quantitatively useful.
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The project contains a matlab package for generating poised lattices and coarse-fine interpolation matrices for high-order adaptive mesh refinement. It accompanies the paper by Qinghai Zhang submitted to Comput. Methods Appl. Mech. Engrg.
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ChomPst = Combo + Petsc. Chompst aims at extending the Chombo infrastructure for solving partial differential equations using adaptive mesh refinement with PETSc sparse matrix solvers
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PARAMESH is a package of Fortran 90 subroutines designed to provide an application developer with an easy route to extend an existing serial code which uses a logically cartesian structured mesh into a parallel code with adaptive mesh refinement(AMR).
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The goal of this project is developing a C++ library to handle mesh of arbitrary euclidean dimension (2D, 3D, etc) for scientific computing applications. This library should enable an easy development of refinement/derefinement and smoothing methods.
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Neural Mesh is a purely PHP, fast, easy Neural Network Manager, Administrator and Framework. It allows you to integrate Artificial Intelligence into your applications, quickly and easily, no matter what your experience.
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DAPTA (Distributed AdaPtive Triangulation Algorithms) is a software library which contains data structures and algorithms for triangulations (meshes) for specific use in a parallel environment where mesh adaptation is required.
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Tetraviewer is a simple OpenGL based application for viewing Tetrahedra. It is specifically tailored to facilitate the viewing of Tetrahedra as produced from a 3d mesh and to study the progress of refinement of the mesh over time.
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voluminium
Expermients in adaptive image generation
voluminium is a library for efficiently visualising "image functions" (ie any function which returns a color given a 2D position) by adaptive sampling, reconstruction and continuous refinement.
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