vikashg / Geometry-Reading-listLinks
A curated list of reading material and lecture notes for all things geometry. Mostly focussed on differential and Riemannian geometry with applications to physics, medical imaging and computer vision.
☆21Updated 7 years ago
Alternatives and similar repositories for Geometry-Reading-list
Users that are interested in Geometry-Reading-list are comparing it to the libraries listed below
Sorting:
- B-Spline CNNs on Lie groups☆56Updated 5 years ago
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆53Updated 3 years ago
- Python implementation of the paper "Discrete Differential-Geometry Operators for Triangulated 2-Manifolds" by Meyer et. al. VisMath 2002☆53Updated 2 years ago
- MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.☆57Updated 6 years ago
- Examples of more involved applications using Geomstats☆33Updated 4 years ago
- We simulate a wind tunnel, place a rectangular occlusion in it, and then use gradient descent to turn the occlusion into a wing.☆27Updated 5 years ago
- A collection of adaptive sparse multi-scale solvers for optimal transport and related optimization problems.☆53Updated 4 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆121Updated 2 years ago
- SPOT: Sliced Partial Optimal Transport☆61Updated 5 years ago
- ☆63Updated 2 years ago
- The official implementation of the "Hypernetwork approach to generating point clouds" paper☆27Updated last year
- A library for optimization on Riemannian manifolds☆112Updated 7 months ago
- Multi Directional Geodesic Convolutional Neural Networks☆36Updated 5 years ago
- ☆56Updated 2 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- J. Solomon, F. de Goes, G. Peyré, M. Cuturi, A. Butscher, A. Nguyen, T. Du, L. Guibas. Convolutional Wasserstein Distances: Efficient Opt…☆107Updated 8 years ago
- FML (Francis' Machine-Learnin' Library) - A collection of utilities for machine learning tasks☆36Updated 6 years ago
- ☆15Updated 7 years ago
- A small project implementing different per-vertex mesh signatures.☆41Updated last year
- Euclidean distance transform in pytorch☆21Updated last year
- This repository contains the python implementation of the paper titled "Discrete Differential-Geometry Operators for Triangulated 2-Manif…☆17Updated 5 years ago
- Neural Mesh Flow: 3D Manifold Mesh Generation via Diffeomorphic Flows☆87Updated 4 years ago
- Official PyTorch implementation of Möbius Convolutions for Spherical CNNs [SIGGRAPH 2022].☆27Updated last year
- Spherical conformal map for genus-0 closed surfaces☆47Updated last year
- numerical optimization in pytorch☆139Updated last year
- course webpage☆49Updated 2 years ago
- Code for the ICLR 2020 paper "Learning to Control PDEs"☆35Updated 5 years ago
- Nonlinear solver backend for PyTorch☆68Updated 6 years ago
- Python package for Geometric / Clifford Algebra with TensorFlow☆52Updated 2 years ago
- ☆105Updated 4 years ago