BallisticLA / RandBLAS
A header-only C++ library for sketching in randomized linear algebra
☆84Updated 3 weeks ago
Alternatives and similar repositories for RandBLAS:
Users that are interested in RandBLAS are comparing it to the libraries listed below
- A high-performance C++ library for randomized numerical linear algebra☆67Updated this week
- Python Algorithms for Randomized Linear Algebra☆53Updated last year
- Matlab Algorithms for Randomized Linear Algebra☆15Updated last year
- H2 Matrix Package☆28Updated last year
- Custom Bindings for Enzyme Automatic Differentiation Tool and Interfacing with JAX.☆68Updated this week
- Code for the paper "XTrace: Making the most of every sample in stochastic trace estimation"☆13Updated last year
- A software package for flexible HPC GPs☆15Updated last week
- Matrix-free linear algebra in JAX.☆116Updated 2 months ago
- Turning SymPy expressions into JAX functions☆44Updated 3 years ago
- Stencil computations in JAX☆70Updated last year
- directory for randomized cholesky☆17Updated 3 years ago
- Tensor decomposition with arbitrary expressions: inner, outer, elementwise operators; nonlinear transformations; and more.☆58Updated 2 years ago
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆105Updated last month
- Fast extremal eigensolvers for PyTorch.☆17Updated 3 years ago
- H2Lib public repository☆55Updated 2 years ago
- Automatic High-Order Optimization for Tensors☆23Updated last year
- Forward mode laplacian implemented in JAX tracer☆29Updated last week
- Distributed-memory, arbitrary-precision, dense and sparse-direct linear algebra, conic optimization, and lattice reduction☆66Updated 5 months ago
- Efficient forward- and reverse-mode sparse Jacobians using Jax☆55Updated 3 months ago
- Python Tensor Toolbox☆29Updated last month
- Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"☆25Updated 10 months ago
- GPU/TPU accelerated nonlinear least-squares curve fitting using JAX☆56Updated last year
- Efficient Differentiable n-d PDE solvers in JAX.☆24Updated 4 months ago
- Linnea is an experimental tool for the automatic generation of optimized code for linear algebra problems.☆68Updated 3 years ago
- Toolbox for HODLR and HSS matrices in MATLAB☆45Updated last year
- Code for the book "The Elements of Differentiable Programming".☆75Updated last month
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆124Updated 5 months ago
- Use numba-compiled kernels from within Jax☆26Updated last month
- SLATE is a distributed, GPU-accelerated, dense linear algebra library targetting current and upcoming high-performance computing (HPC) sy…☆110Updated 2 months ago
- Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.☆47Updated 2 weeks ago