eepperly / XTrace
Code for the paper "XTrace: Making the most of every sample in stochastic trace estimation"
☆12Updated last year
Alternatives and similar repositories for XTrace:
Users that are interested in XTrace are comparing it to the libraries listed below
- Code for the paper "Variational Monte Carlo Approach to Partial Differential Equations with Neural Networks" (https://arxiv.org/abs/2206.…☆9Updated 2 years ago
- Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…☆20Updated 6 months ago
- Reverse-mode AD of dominant sparse eigensolver using Pytorch.☆38Updated 4 years ago
- DifferentialEquations.jl with PyTorch☆11Updated 2 years ago
- Fast extremal eigensolvers for PyTorch.☆17Updated 3 years ago
- Code for paper https://arxiv.org/abs/2306.07961☆53Updated 7 months ago
- ☆31Updated 4 years ago
- Forward mode laplacian implemented in JAX tracer☆29Updated 3 months ago
- Differentiable interface to Firedrake for JAX☆14Updated 3 years ago
- Code for Hutch++: Optimal Stochastic Trace Estimation☆11Updated 3 years ago
- A Julia implementation of tensor decomposition algorithms☆45Updated 4 years ago
- Practical tools for quantifying how well a sample approximates a target distribution☆27Updated 4 years ago
- H2 Matrix Package☆26Updated last year
- Julia package for tensors as multidimensional arrays, with functionalty within Tucker format, Kruskal (CP) format, Hierarchical Tucker fo…☆65Updated last year
- Python Tensor Toolbox☆29Updated last week
- WuLiXueBao magazine article - automatic differentiation.☆15Updated 3 years ago
- Hierarchical variational models for physics.☆18Updated 4 years ago
- Ab-initio simulation of interacting fermions with equivariant normalizing flow.☆32Updated 2 years ago
- A software package for flexible HPC GPs☆15Updated 2 weeks ago
- Efficient Differentiable n-d PDE solvers in JAX.☆24Updated 3 months ago
- Wigner's 3J, 6J, 9J symbols for python☆20Updated 6 months ago
- A Python package for efficient optimisation of real-space renormalization group transformations using Tensorflow.☆28Updated last week
- Efficient forward- and reverse-mode sparse Jacobians using Jax☆55Updated 2 months ago
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆41Updated 3 months ago
- A Julia library for hierarchical matrices☆44Updated 2 months ago
- Orthogonal polynomials with JAX☆15Updated this week
- Toolbox for HODLR and HSS matrices in MATLAB☆45Updated last year
- ☆36Updated 3 years ago
- Julia workshop for undergrad physicists☆22Updated 3 years ago
- A zoo of implementations of differential equation problems in NumPy and JAX. Oscillators, chemical reactions, n-body problems, epidemiolo…☆14Updated last year