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.☆152Updated 2 years ago
- Bayesian algorithm execution (BAX)☆53Updated 4 years ago
- Normalizing Flows using JAX☆85Updated last year
- PyTorch block-diagonal ODE CUDA solver, designed for gradient-based optimization☆16Updated 5 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- A collection of graph neural networks implementations in JAX☆35Updated last year
- Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.☆58Updated 3 months ago
- Library for normalizing flows and neural flows.☆25Updated 3 years ago
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- Einstein Fields official implementation in JAX.☆62Updated 2 months ago
- ☆31Updated last year
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆116Updated 2 weeks ago
- Riemannian Optimization Using JAX☆53Updated 2 years ago
- Deterministic particle dynamics for simulating Fokker-Planck probability flows☆26Updated 2 years ago
- JAX exponential map normalising flows on sphere☆17Updated 5 years ago
- Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"☆44Updated 2 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆88Updated 3 years ago
- TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch☆81Updated last year
- Library for Bayesian Quadrature☆32Updated 6 years ago
- The Modified Differential Multiplier Method (MDMM) for PyTorch☆60Updated 4 years ago
- Flow Annealed Importance Sampling Bootstrap (FAB) with JAX.☆12Updated last year
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 4 years ago
- A differentiation API for PyTorch☆30Updated 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
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆121Updated 2 years ago
- ☆52Updated 2 years ago
- Differentiable and numerically stable implementation of the matrix exponential☆33Updated 5 years ago
- Convex potential flows☆84Updated 4 years ago
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆132Updated last year
- ☆105Updated 4 years ago