marvin-eisenberger / implicit-sinkhornLinks
☆73Updated 2 years ago
Alternatives and similar repositories for implicit-sinkhorn
Users that are interested in implicit-sinkhorn are comparing it to the libraries listed below
Sorting:
- ☆79Updated 4 years ago
- ICLR22 "Fast Differentiable Matrix Square Root" and T-PAMI extension☆64Updated 10 months ago
- ☆158Updated 3 years ago
- Backpropagation-Friendly-Eigendecomposition☆73Updated 5 years ago
- Deep Declarative Networks☆250Updated 7 months ago
- FML (Francis' Machine-Learnin' Library) - A collection of utilities for machine learning tasks☆36Updated 6 years ago
- Meta Optimal Transport☆104Updated 2 years ago
- ☆89Updated last year
- 🚀 A powerful library for efficient training of Neural Fields at scale.☆29Updated last year
- Trading Positional Complexity vs Deepness in Coordinate Networks☆31Updated 2 years ago
- A quick test of SIREN on out-of-sample tasks☆13Updated 5 years ago
- PyTorch implementation of the Hessian-free optimizer☆37Updated last year
- Source code for Fathony, Sahu, Willmott, & Kolter, "Multiplicative Filter Networks", ICLR 2021.☆96Updated 4 years ago
- [NeurIPS 2021] Code for Learning Signal-Agnostic Manifolds of Neural Fields☆68Updated 2 years ago
- Official implementation of "Go with the Flows: Mixtures of Normalizing Flows for Point Cloud Generationand Reconstruction"☆12Updated 3 years ago
- [CVPR 2020 Oral] High-dimensional Convolutional Networks for Geometric Pattern Recognition☆40Updated 4 years ago
- The simplest pytorch implement (100 lines) of "Neural Ordinary Differential Equations" @ NeurIPS 2018 Best Paper.☆81Updated 5 years ago
- Implementation of Differentiable Sign-Distance Function Rendering - in Pytorch☆69Updated 3 years ago
- Source code of "A structured dictionary perspective on implicit neural representations"☆60Updated 3 years ago
- Implicit^2: Implicit model for implicit neural representations☆29Updated 3 years ago
- Polynomial Neural Fields for Subband Decomposition and Manipulation☆58Updated 2 years ago
- LieTransformer: Equivariant Self-Attention for Lie Groups☆74Updated last year
- Implementation of "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains" by Tancik et al.☆101Updated this week
- ☆12Updated 4 years ago
- [CVPR'21] SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data, in PyTorch☆76Updated 2 years ago
- Official code release for the ObSuRF model☆33Updated 2 years ago
- Code for "Scale-Equivariant Steerable Networks"☆71Updated 5 years ago
- Code for "SoftSort: A Continuous Relaxation for the argsort Operator", ICML 2020.☆53Updated 2 years ago
- Official JAX implementation of neural isometries - taming transformations for equivariant ML☆36Updated 2 months ago
- ☆42Updated 4 years ago