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Implicit and Direct Slicer for Lattice Structures
Open source framework for representing and manipulating geometric models
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Closed 3D Triangle Mesh Boolean Operation Library
links to conference publications in graph-based deep learning
A list of recent papers, libraries and datasets about 3D shape/scene analysis (by topics, updating).
[CVPR'19] Dataset and code used in the research project Scan2CAD: Learning CAD Model Alignment in RGB-D Scans
Hierarchical Optimization Time Integration (HOT) for efficient implicit timestepping of the material point method (MPM)
The official SuiteSparse library: a suite of sparse matrix algorithms authored or co-authored by Tim Davis, Texas A&M University.
Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning
This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Hands-on Tutorial for Global Optimization in Matlab
Mesh simplification with UV's boundary preserved
A python parametric CAD scripting framework based on OCCT
A new algorithm for retrieving topological skeleton as a set of polylines from binary images
FBHALE provides a conceptual multidisciplinary design framework for high altitude long endurance (HALE) aircraft development.
C++ implementation of 3-dimensional ICP (Iterative Closest Point) method.
Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511