fwilliams / fml
FML (Francis' Machine-Learnin' Library) - A collection of utilities for machine learning tasks
☆35Updated 6 years ago
Alternatives and similar repositories for fml:
Users that are interested in fml are comparing it to the libraries listed below
- ☆70Updated 2 years ago
- ☆56Updated last year
- MongeNet sampler official implementation☆13Updated 3 years ago
- Code for Deep Parametric Shape Predictions using Distance Fields, in CVPR 2020.☆54Updated 3 years ago
- Implementation of Differentiable Sign-Distance Function Rendering - in Pytorch☆68Updated 2 years ago
- Code for SIGGRAPH paper CNNs on Surfaces using Rotation-Equivariant Features☆88Updated last month
- Implementation of the paper: Cosmo et al, Isospectralization, or how to hear shape, style, and correspondence, arXiv 2018 https://arxiv.o…☆15Updated 2 years ago
- ☆148Updated 2 years ago
- ☆43Updated 2 years ago
- Neural Mesh Flow: 3D Manifold Mesh Generation via Diffeomorphic Flows☆84Updated 3 years ago
- Code for Learning Manifold Patch-Based Representations of Man-Made Shapes, in ICLR 2021.☆28Updated 3 years ago
- Backpropagation-Friendly-Eigendecomposition☆72Updated 5 years ago
- J. Solomon, F. de Goes, G. Peyré, M. Cuturi, A. Butscher, A. Nguyen, T. Du, L. Guibas. Convolutional Wasserstein Distances: Efficient Opt…☆104Updated 7 years ago
- SPOT: Sliced Partial Optimal Transport☆61Updated 5 years ago
- Pytorch implementation of NeurIPS 2021 paper: Geometry Processing with Neural Fields.☆200Updated last year
- Neural implicit reconstruction experiments for the Vector Neuron paper☆43Updated 3 years ago
- Controlling Neural Level Sets☆21Updated 4 years ago
- The reference implementaiton for the paper "Deep Geometric Prior for Surface Reconstruction"☆134Updated 11 months ago
- ☆40Updated 2 years ago
- Learning Gradient Fields for Shape Generation☆191Updated 3 years ago
- Geometry processing utilities compatible with jax for autodifferentiation.☆88Updated last year
- An implementation of the Functional Map framework for finding correspondences between Meshes, Images or Graphs.☆38Updated 8 years ago
- DualSDF: Semantic Shape Manipulation using a Two-Level Representation. CVPR'20☆140Updated last year
- ☆78Updated 3 years ago
- Differentiable Spherical Harmonic Transforms in PyTorch☆17Updated 2 years ago
- Code for "Learning Unsupervised Hierarchical Part Decomposition of 3D Objects from a Single RGB Image", CVPR 2020☆97Updated 3 years ago
- Multi Directional Geodesic Convolutional Neural Networks☆35Updated 4 years ago
- PyTorch 1.0 implementation of the approximate Earth Mover's Distance☆138Updated 5 years ago
- SAL: Sign Agnostic Learning of Shapes From Raw Data☆91Updated 4 years ago
- Tensorflow/Keras code for the article (Effective Rotation-invariant Point CNN with Spherical Harmonics kernels) :☆33Updated 4 years ago