microsoft / folxLinks
Implementation of Forward Laplacian algorithm in JAX
☆77Updated last month
Alternatives and similar repositories for folx
Users that are interested in folx are comparing it to the libraries listed below
Sorting:
- Forward mode laplacian implemented in JAX tracer☆29Updated 4 months ago
- Multiple dispatch over abstract array types in JAX.☆125Updated last week
- Stencil computations in JAX☆71Updated last year
- Matrix-free linear algebra in JAX.☆125Updated last month
- Automatic Functional Differentiation in JAX☆72Updated 3 months ago
- Minimal JAX implementation of k-nearest neighbors using a k-d tree.☆43Updated last week
- JAX bindings to the Flatiron Institute Non-uniform Fast Fourier Transform (FINUFFT) library☆97Updated last week
- Annotated implementations of equivariant (graph) neural networks in Jax: EGNN, SEGNN, NequIP.☆36Updated 3 months ago
- Exchange correlation functionals translated from libxc to jax☆45Updated 3 months ago
- Visualize, create, and operate on pytrees in the most intuitive way possible.☆45Updated 5 months ago
- PySCF on IPU☆42Updated last year
- E3x is a JAX library for constructing efficient E(3)-equivariant deep learning architectures built on top of Flax.☆108Updated 2 months ago
- Turn jitted jax functions back into python source code☆22Updated 6 months ago
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- Flow Annealed Importance Sampling Bootstrap (FAB) with JAX.☆11Updated last year
- Ab-initio simulation of interacting fermions with equivariant normalizing flow.☆34Updated 2 years ago
- ☆51Updated 2 years ago
- Flexible, general-purpose VMC framework, built on JAX.☆26Updated 2 months ago
- JAX bindings for the NVIDIA cuDecomp library☆37Updated this week
- A dead simple Python package for creating custom JAX pytree objects☆63Updated 7 months ago
- Orthogonal polynomials with JAX☆22Updated this week
- A Wadler--Lindig pretty printer for Python☆39Updated this week
- Tools for building equivariant polynomials on reductive Lie groups.☆32Updated 2 years ago
- Efficient Differentiable n-d PDE solvers in JAX.☆40Updated 7 months ago
- Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.☆54Updated 2 months ago
- Implementation of various equivariant models in JAX☆12Updated last year
- Second Order Optimization and Curvature Estimation with K-FAC in JAX.☆279Updated this week
- A JAX based package designed for efficient second order operators (e.g., laplacian) computation.☆72Updated last year
- Arbitrary-order derivatives of popular electronic structure methods, such as Hartree-Fock and coupled cluster theory.☆66Updated 10 months ago
- Reference implementation of "Ab-Initio Potential Energy Surfaces by Pairing GNNs with Neural Wave Functions" (ICLR, 2022) and "Sampling-f…☆30Updated last year