fwilliams / fml
FML (Francis' Machine-Learnin' Library) - A collection of utilities for machine learning tasks
☆34Updated 5 years ago
Alternatives and similar repositories for fml:
Users that are interested in fml are comparing it to the libraries listed below
- ☆56Updated last year
- Backpropagation-Friendly-Eigendecomposition☆72Updated 5 years ago
- ☆42Updated 2 years ago
- ☆70Updated 2 years ago
- ☆77Updated 3 years ago
- MongeNet sampler official implementation☆13Updated 3 years ago
- Code for SIGGRAPH paper CNNs on Surfaces using Rotation-Equivariant Features☆88Updated 3 weeks ago
- Code for Learning Manifold Patch-Based Representations of Man-Made Shapes, in ICLR 2021.☆28Updated 3 years ago
- Multi Directional Geodesic Convolutional Neural Networks☆35Updated 4 years ago
- Code for Deep Parametric Shape Predictions using Distance Fields, in CVPR 2020.☆54Updated 3 years ago
- Differentiable Spherical Harmonic Transforms in PyTorch☆17Updated 2 years ago
- code for the paper "ZoomOut: Spectral Upsampling for Efficient Shape Correspondence"☆46Updated 5 years ago
- SPOT: Sliced Partial Optimal Transport☆61Updated 4 years ago
- Implementation of Differentiable Sign-Distance Function Rendering - in Pytorch☆68Updated 2 years ago
- Pytorch implementation of NeurIPS 2021 paper: Geometry Processing with Neural Fields.☆200Updated last year
- A small library for doing fluid simulation with neural networks.☆23Updated 3 years ago
- Geometry processing utilities compatible with jax for autodifferentiation.☆86Updated last year
- Controlling Neural Level Sets☆21Updated 4 years ago
- Neurips 2020 paper on weakly supervised deep functional maps for shape matching☆25Updated 4 years ago
- Learning Gradient Fields for Shape Generation☆189Updated 3 years ago
- ☆101Updated 2 years ago
- 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
- Flow-based generative model for 3D point clouds.☆43Updated 4 years ago
- Tensorflow/Keras code for the article (Effective Rotation-invariant Point CNN with Spherical Harmonics kernels) :☆33Updated 4 years ago
- ☆82Updated 3 years ago
- Official implementation of "Go with the Flows: Mixtures of Normalizing Flows for Point Cloud Generationand Reconstruction"☆12Updated 3 years ago
- Neural Mesh Flow: 3D Manifold Mesh Generation via Diffeomorphic Flows☆84Updated 3 years ago
- ☆40Updated 2 years ago
- Demo source code for the paper "Spin-Weighted Spherical CNNs".☆23Updated 3 years ago
- Code for DeepCurrents: Learning Implicit Representations of Shapes with Boundaries☆52Updated 3 years ago