ngruver / lie-deriv
☆36Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for lie-deriv
- ☆22Updated last year
- Lie Algebra Convolutional Network implementation☆42Updated 2 years ago
- Taxonomy of Benchmarks in Graph Representation Learning☆17Updated last year
- This repository implements and evaluates convolutional networks on the Möbius strip as toy model instantiations of Coordinate Independent…☆73Updated 11 months ago
- Official implementation of Deep Momentum Schrödinger Bridge☆20Updated last year
- Differentiable Euler Characteristic Transform☆17Updated 5 months ago
- Riemannian Convex Potential Maps☆68Updated last year
- Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022☆44Updated 2 years ago
- Code for "Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations"☆23Updated 2 years ago
- Official repository of Implicit Neural Convolutional Kernels for Steerable CNNs, Zhdanov et al.☆26Updated 8 months ago
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆36Updated last year
- Fork of the E2CNN library that adds support for equivariant partial differential operators☆17Updated 2 years ago
- ChebLieNet, a spectral graph neural network turned equivariant by Riemannian geometry on Lie groups.☆15Updated 3 months ago
- Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"☆52Updated last year
- Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).☆67Updated last year
- Implementation of Action Matching for the Schrödinger equation☆22Updated last year
- Repo reproducing experimental results in "Addressing the Topological Defects of Disentanglement"☆23Updated 2 years ago
- Euclidean Wasserstein-2 optimal transportation☆44Updated last year
- Transformers with doubly stochastic attention☆40Updated 2 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆38Updated last year
- ☆16Updated last year
- [ICLR 2022] Path integral sampler☆43Updated last year
- Implementation of Geometric Vector Perceptron, a simple circuit for 3d rotation equivariance for learning over large biomolecules, in Pyt…☆72Updated 3 years ago
- JAX exponential map normalising flows on sphere☆17Updated 4 years ago
- Code for reproducing experiments in "On the Ability of Graph Neural Networks to Model Interactions Between Vertices"☆22Updated last year
- Quantification of Uncertainty with Adversarial Models☆27Updated last year
- Code for An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality (ICLR 2020)☆11Updated last year
- A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes☆25Updated 3 years ago
- Pytorch and Tensorflow implementation of TVGNN, presented at ICML 2023.☆20Updated 9 months ago
- Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.☆38Updated 9 months ago