clayton-r / symtorchLinks
Initial Commit
☆19Updated 4 years ago
Alternatives and similar repositories for symtorch
Users that are interested in symtorch are comparing it to the libraries listed below
Sorting:
- Turning SymPy expressions into PyTorch modules.☆148Updated last year
- Bayesian algorithm execution (BAX)☆49Updated 3 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Normalizing Flows using JAX☆83Updated last year
- Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.☆55Updated 2 months ago
- A collection of graph neural networks implementations in JAX☆33Updated last year
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆52Updated 2 years ago
- ☆30Updated 10 months ago
- PyTorch block-diagonal ODE CUDA solver, designed for gradient-based optimization☆16Updated 5 years ago
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69Updated last year
- Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"☆43Updated last year
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆128Updated 10 months ago
- Flow Annealed Importance Sampling Bootstrap (FAB) with JAX.☆11Updated last year
- ☆102Updated 4 years ago
- ☆62Updated 2 years ago
- ☆34Updated 3 years ago
- Riemannian Optimization Using JAX☆49Updated last year
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆119Updated 2 years ago
- ☆52Updated 2 years ago
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆38Updated 2 years ago
- Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.☆78Updated 3 months ago
- ☆110Updated 4 years ago
- Fine-grained, dynamic control of neural network topology in JAX.☆21Updated last year
- The Modified Differential Multiplier Method (MDMM) for PyTorch☆59Updated 4 years ago
- A library for programmatically generating equivariant layers through constraint solving☆268Updated 2 years ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆170Updated 3 years ago
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 3 years ago
- Stencil computations in JAX☆71Updated last year
- A generic interface for linear algebra backends☆73Updated 4 months ago