BallisticLA / RandBLAS
A header-only C++ library for sketching in randomized linear algebra
☆89Updated last month
Alternatives and similar repositories for RandBLAS
Users that are interested in RandBLAS are comparing it to the libraries listed below
Sorting:
- A high-performance C++ library for randomized numerical linear algebra☆68Updated last week
- Python Algorithms for Randomized Linear Algebra☆53Updated 2 years ago
- Custom Bindings for Enzyme Automatic Differentiation Tool and Interfacing with JAX.☆78Updated this week
- H2 Matrix Package☆30Updated last year
- Matlab Algorithms for Randomized Linear Algebra☆15Updated last year
- Matrix-free linear algebra in JAX.☆118Updated 4 months ago
- TorchFSM: Fourier Spectral Method with PyTorch☆33Updated this week
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆107Updated 2 months ago
- Round matrix elements to lower precision in MATLAB☆37Updated 2 years ago
- Efficient forward- and reverse-mode sparse Jacobians using Jax☆57Updated 5 months ago
- Code for the paper "XTrace: Making the most of every sample in stochastic trace estimation"☆14Updated 2 years ago
- Code for the book "The Elements of Differentiable Programming".☆84Updated last month
- Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"☆25Updated last year
- Efficient Differentiable n-d PDE solvers in JAX.☆37Updated 6 months ago
- A software package for flexible HPC GPs☆16Updated this week
- directory for randomized cholesky☆17Updated 3 years ago
- Python Tensor Toolbox☆33Updated 3 weeks ago
- H2Lib public repository☆56Updated 2 years ago
- GPU/TPU accelerated nonlinear least-squares curve fitting using JAX☆57Updated last year
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆94Updated last year
- Reverse-mode AD of dominant sparse eigensolver using Pytorch.☆39Updated 4 years ago
- PINNs-JAX, Physics-informed Neural Networks (PINNs) implemented in JAX.☆48Updated 8 months ago
- Multiple dispatch over abstract array types in JAX.☆121Updated last week
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- Python wrapper for Intel Math Kernel Library (MKL) matrix multiplication☆84Updated last month
- Tensor decomposition with arbitrary expressions: inner, outer, elementwise operators; nonlinear transformations; and more.☆58Updated 2 years ago
- Toolbox for HODLR and HSS matrices in MATLAB☆46Updated last month
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆46Updated last month
- A library to define abstract linear operators, and associated algebra and matrix-free algorithms, that works with pyTorch Tensors.☆12Updated 3 months ago
- Stencil computations in JAX☆70Updated last year