fwilliams / fml
FML (Francis' Machine-Learnin' Library) - A collection of utilities for machine learning tasks
☆35Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for fml
- ☆56Updated last year
- Code for SIGGRAPH paper CNNs on Surfaces using Rotation-Equivariant Features☆87Updated last year
- Code for Deep Parametric Shape Predictions using Distance Fields, in CVPR 2020.☆54Updated 3 years ago
- Multi Directional Geodesic Convolutional Neural Networks☆34Updated 4 years ago
- Backpropagation-Friendly-Eigendecomposition☆71Updated 4 years ago
- Code for Learning Manifold Patch-Based Representations of Man-Made Shapes, in ICLR 2021.☆28Updated 3 years ago
- ☆68Updated last year
- ☆40Updated 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…☆103Updated 7 years ago
- A small library for doing fluid simulation with neural networks.☆23Updated 2 years ago
- SPOT: Sliced Partial Optimal Transport☆61Updated 4 years ago
- Tensorflow/Keras code for the article (Effective Rotation-invariant Point CNN with Spherical Harmonics kernels) :☆33Updated 3 years ago
- ☆82Updated 3 years ago
- Controlling Neural Level Sets☆20Updated 4 years ago
- Learning Gradient Fields for Shape Generation☆186Updated 3 years ago
- Implementation of the paper: Cosmo et al, Isospectralization, or how to hear shape, style, and correspondence, arXiv 2018 https://arxiv.o…☆15Updated last year
- An implementation of the Functional Map framework for finding correspondences between Meshes, Images or Graphs.☆36Updated 7 years ago
- Implementation of Differentiable Sign-Distance Function Rendering - in Pytorch☆69Updated 2 years ago
- Neural Mesh Flow: 3D Manifold Mesh Generation via Diffeomorphic Flows☆83Updated 3 years ago
- Pytorch implementation of NeurIPS 2021 paper: Geometry Processing with Neural Fields.☆196Updated last year
- ☆39Updated 2 years ago
- Geometry processing utilities compatible with jax for autodifferentiation.☆83Updated last year
- Fast analytical implementation of batch eigen-decomposition for 3x3 symmetric matrices with Pytorch. > 250x faster than regular Pytorch i…☆20Updated 3 years ago
- Differentiable Spherical Harmonic Transforms in PyTorch☆17Updated 2 years ago
- ☆72Updated 3 years ago
- SAL: Sign Agnostic Learning of Shapes From Raw Data☆89Updated 3 years ago
- code for the paper "ZoomOut: Spectral Upsampling for Efficient Shape Correspondence"☆43Updated 4 years ago
- DualSDF: Semantic Shape Manipulation using a Two-Level Representation. CVPR'20☆140Updated last year
- DDSL: Deep Differential Simplex Layer for Neural Networks☆55Updated 3 years ago
- The reference implementaiton for the paper "Deep Geometric Prior for Surface Reconstruction"☆127Updated 6 months ago