alexOarga / haiku-geometricLinks
A collection of graph neural networks implementations in JAX
☆32Updated last year
Alternatives and similar repositories for haiku-geometric
Users that are interested in haiku-geometric are comparing it to the libraries listed below
Sorting:
- Flow Annealed Importance Sampling Bootstrap (FAB) with JAX.☆11Updated 11 months ago
- ☆52Updated 2 years ago
- Code for Gaussian Score Matching Variational Inference☆33Updated 3 months ago
- Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/☆30Updated last year
- Visualize, create, and operate on pytrees in the most intuitive way possible.☆45Updated 4 months ago
- Fine-grained, dynamic control of neural network topology in JAX.☆21Updated last year
- Implementation of Action Matching for the Schrödinger equation☆24Updated last year
- Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"☆43Updated last year
- Stainless neural networks in JAX☆34Updated 2 months ago
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- Deterministic particle dynamics for simulating Fokker-Planck probability flows☆24Updated 2 years ago
- Annotated implementations of equivariant (graph) neural networks in Jax: EGNN, SEGNN, NequIP.☆34Updated 3 months ago
- Multiple dispatch over abstract array types in JAX.☆124Updated this week
- Implementation of various equivariant models in JAX☆12Updated last year
- Minimal JAX implementation of k-nearest neighbors using a k-d tree.☆37Updated this week
- Bayesian algorithm execution (BAX)☆49Updated 3 years ago
- Bayesian inference with Python and Jax.☆32Updated 2 years ago
- Riemannian Optimization Using JAX☆49Updated last year
- Normalizing Flows using JAX☆83Updated last year
- Stencil computations in JAX☆71Updated last year
- Differentiable Principal Component Analysis (PCA) implementation in JAX☆27Updated last month
- ☆34Updated 3 years ago
- Exact OU processes with JAX☆48Updated 2 months ago
- Conditional Flow Matching using JAX☆13Updated last year
- Minimal Implementation of Bayesian Optimization in JAX☆95Updated last month
- Implementation of approximate free-energy minimization in PyTorch☆19Updated 3 years ago
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 3 years ago
- Implementation of Forward Laplacian algorithm in JAX☆76Updated last week
- Things that make me feel productive☆15Updated 2 years ago
- Graph Convolutional Networks in JAX☆32Updated 4 years ago