IvanYashchuk / fecrLinks
Easy interoperability with Automatic Differentiation libraries through NumPy interface to Firedrake and FEniCS
☆15Updated 2 years ago
Alternatives and similar repositories for fecr
Users that are interested in fecr are comparing it to the libraries listed below
Sorting:
- WuLiXueBao magazine article - automatic differentiation.☆15Updated 3 years ago
- Differentiable interface to Firedrake for JAX☆15Updated 4 years ago
- Code for paper https://arxiv.org/abs/2306.07961☆53Updated 3 months ago
- Auto differentiation over linear algebras (a Zygote extension)☆35Updated last month
- A Julia package to handle spherical harmonic functions☆31Updated 3 weeks ago
- Reverse-mode AD of dominant sparse eigensolver using Pytorch.☆41Updated 5 years ago
- A differentiable parametrization of a group of unitary matrices.☆14Updated 4 years ago
- Automatic Differentiation for Solid Mechanics☆58Updated 3 weeks ago
- Forward mode laplacian implemented in JAX tracer☆29Updated last week
- A package for multi-dimensional integration using monte carlo methods☆40Updated last year
- Julia package for tensors as multidimensional arrays, with functionalty within Tucker format, Kruskal (CP) format, Hierarchical Tucker fo…☆68Updated 2 years ago
- Geometric Numerical Integration in Julia☆51Updated last month
- Lattice Construction for Applications in Physics☆26Updated 6 years ago
- Infinite order automatic differentiation for Monte Carlo with unnormalized probability distribution☆24Updated 2 years ago
- Efficient forward- and reverse-mode sparse Jacobians using Jax☆68Updated last month
- Efficient, Accurate, and Streamlined Training of Physics-Informed Neural Networks☆59Updated 9 months ago
- A Julia library for hierarchical matrices☆48Updated 4 months ago
- Checkpointing for Automatic Differentiation☆60Updated last week
- Julia package to compute the result of expm(t*A)*v when A is a sparse matrix, without computing expm(t*A).☆22Updated 6 years ago
- Hitchhiker's Guide to Deep Learning for Computational Scientists☆36Updated 7 years ago
- Examples for using ApproFun.jl☆25Updated last year
- Implementation of a fast exponential matrix for large matrices (full and sparse)☆32Updated 3 years ago
- Fundamental scientific algorithms in Julia☆33Updated 3 years ago
- No need to train, he's a smooth operator☆45Updated last month
- Rescure useful code in TensorNetwork by google for further personal usage.☆12Updated last year
- Julia package for solving singular integral equations☆65Updated last year
- Fast orthogonal polynomial transforms☆63Updated last year
- Initial attempts at a package for defining many body systems in both quantum and statistical physics☆12Updated 4 years ago
- TensorOperations.jl compatible fast contractor for Julia, based on TBLIS, with generic strides and automatic differentiation support, wit…☆28Updated 3 years ago
- Solve global polynomial optimization problems of either commutative variables or noncommutative operators through a semidefinite programm…☆57Updated 7 years ago