alonfnt / pcaxLinks
Differentiable Principal Component Analysis (PCA) implementation in JAX
☆30Updated 7 months ago
Alternatives and similar repositories for pcax
Users that are interested in pcax are comparing it to the libraries listed below
Sorting:
- JAX Arrays for human consumption☆110Updated last month
- Matrix-free linear algebra in JAX.☆152Updated last week
- Add a tqdm progress bar to your JAX scans and loops.☆120Updated 7 months ago
- ☆205Updated last month
- Minimal Implementation of Bayesian Optimization in JAX☆100Updated 7 months ago
- Bayesian inference with Python and Jax.☆34Updated 3 years ago
- Distrax, but in equinox. Lightweight JAX library of probability distributions and bijectors.☆38Updated 2 months ago
- ☆52Updated 2 years ago
- Turn jitted jax functions back into python source code☆23Updated 11 months ago
- Multiple dispatch over abstract array types in JAX.☆136Updated 2 weeks ago
- Minimal JAX implementation of k-nearest neighbors using a k-d tree.☆50Updated 4 months ago
- Second Order Optimization and Curvature Estimation with K-FAC in JAX.☆297Updated this week
- Pytorch-like dataloaders for JAX.☆98Updated 6 months ago
- Riemannian Optimization Using JAX☆53Updated 2 years ago
- Automatic Functional Differentiation in JAX☆80Updated 2 months ago
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆117Updated last month
- Stainless neural networks in JAX☆34Updated 3 months ago
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆507Updated last week
- A collection of graph neural networks implementations in JAX☆35Updated 2 years ago
- diffusionjax is a simple and accessible diffusion models package in JAX☆48Updated 10 months ago
- Stencil computations in JAX☆71Updated 3 weeks ago
- Normalizing Flows using JAX☆85Updated 2 years ago
- Visualize, create, and operate on pytrees in the most intuitive way possible.☆45Updated 11 months ago
- Jaxpr Visualisation Tool☆32Updated 11 months ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated 2 years ago
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆53Updated 3 weeks ago
- Running Jax in PyTorch Lightning☆115Updated 11 months ago
- A small library of paramaterizations and parameter constraints for PyTrees.☆47Updated 7 months ago
- ☆249Updated last week
- A Python package of computer vision models for the Equinox ecosystem.☆110Updated last year