anucvml / ddn
Deep Declarative Networks
☆245Updated 2 months ago
Alternatives and similar repositories for ddn:
Users that are interested in ddn are comparing it to the libraries listed below
- ☆149Updated 2 years ago
- Code for "Scale-Equivariant Steerable Networks"☆69Updated 4 years ago
- [NeurIPS'20] Multiscale Deep Equilibrium Models☆234Updated 3 years ago
- ☆70Updated 2 years ago
- ☆78Updated 4 years ago
- PyTorch implementation for the paper Equivariant Point Network for 3D Point Cloud Analysis (CVPR2021).☆110Updated 2 years ago
- FML (Francis' Machine-Learnin' Library) - A collection of utilities for machine learning tasks☆35Updated 6 years ago
- Torch modules that wrap blackbox combinatorial solvers according to the method presented in "Differentiating Blackbox Combinatorial Solve…☆343Updated 3 years ago
- A Smooth Representation of SO(3) for Deep Rotation Learning with Uncertainty.☆186Updated 7 months ago
- Code for Scalable Uncertainty for Computer Vision with Functional Variational Inference @ CVPR 2020☆66Updated 4 years ago
- Unsupervised Discovery of Object Radiance Fields☆173Updated 2 years ago
- Code for the ICCV 2019 paper "Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation"☆94Updated last year
- Preconditioned Conjugate Gradient in Pytorch☆140Updated last year
- LightProbNets☆26Updated 5 years ago
- Pytorch Custom CUDA kernel for searchsorted☆137Updated last year
- Geometric loss functions between point clouds, images and volumes☆622Updated 3 weeks ago
- Resources on how to use the GPU clusters☆33Updated 4 years ago
- Official implementation of "Energy-Based Models for Deep Probabilistic Regression" (ECCV 2020) and "How to Train Your Energy-Based Model …☆97Updated 4 years ago
- PyTorch implementation of cvpr2019 paper "Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-Spheres".☆148Updated 3 years ago
- Repository for our paper: Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers☆88Updated 4 years ago
- PyTorch 1.0 implementation of the approximate Earth Mover's Distance☆138Updated 5 years ago
- LEARNING LATENT PERMUTATIONS WITH GUMBEL-SINKHORN NETWORKS IMPLEMENTATION WITH PYTORCH☆79Updated last year
- Experiments with Group Equivariant Convolutions in PyTorch☆115Updated 2 years ago
- Learning Gradient Fields for Shape Generation☆192Updated 3 years ago
- Backpropagation-Friendly-Eigendecomposition☆72Updated 5 years ago
- Official implementation of the ECCV 2020 Oral Paper "Quaternion Equivariant Capsule Networks for 3D Point Clouds"☆43Updated 3 years ago
- ☆34Updated 4 years ago
- Pytorch implementation of "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?"☆165Updated 5 years ago
- Experiments for the AISTATS publication on Reparameterizing Distributions over Lie Groups☆52Updated 2 years ago
- PyTorch re-implementation of Multi-Object Representation Learning with Iterative Variational Inference☆59Updated 2 years ago