Dipolar-Quantum-Gases / jaxfitLinks
GPU/TPU accelerated nonlinear least-squares curve fitting using JAX
☆58Updated 2 years ago
Alternatives and similar repositories for jaxfit
Users that are interested in jaxfit are comparing it to the libraries listed below
Sorting:
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆132Updated last year
- Numerical quadrature with JAX☆73Updated last week
- JAX bindings to the Flatiron Institute Non-uniform Fast Fourier Transform (FINUFFT) library☆106Updated 2 weeks ago
- Probabilistic programming framework for signal inference algorithms that operate regardless of the underlying grids and their resolutions☆39Updated this week
- A small library of paramaterizations and parameter constraints for PyTrees.☆45Updated 6 months ago
- Differentiable and gpu enabled fast wavelet transforms in JAX.☆47Updated last year
- S2FFT: Differentiable and accelerated spherical transforms☆209Updated this week
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆53Updated this week
- Interpolation and function approximation with JAX☆230Updated last week
- Bind any function written in another language to JAX with support for JVP/VJP/batching/jit compilation☆74Updated last month
- Add a tqdm progress bar to your JAX scans and loops.☆118Updated 6 months ago
- Minimal JAX implementation of k-nearest neighbors using a k-d tree.☆50Updated 4 months ago
- Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.☆58Updated 3 months ago
- Efficient forward- and reverse-mode sparse Jacobians using Jax☆65Updated last month
- Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX☆209Updated 3 months ago
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆492Updated 2 weeks ago
- Matrix-free linear algebra in JAX.☆149Updated 2 weeks ago
- Multiple dispatch over abstract array types in JAX.☆136Updated last week
- Minimal Implementation of Bayesian Optimization in JAX☆100Updated 6 months ago
- Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax☆489Updated this week
- A library to define abstract linear operators, and associated algebra and matrix-free algorithms, that works with pyTorch Tensors.☆16Updated this week
- Github Action to: Check version / Test / git tag / GitHub Release / Deploy to PyPI☆20Updated last month
- Optimal numerical differentiation of noisy time series data in python.☆66Updated 4 months ago
- Methods for numerical differentiation of noisy data in python☆126Updated this week
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆116Updated 2 weeks ago
- Stencil computations in JAX☆71Updated this week
- Gaussian Mixture Models in Jax☆23Updated 4 months ago
- Awesome Equinox - A curated list of resources of https://github.com/patrick-kidger/equinox☆16Updated last year
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"☆30Updated last year