wilson-labs / colaLinks
Compositional Linear Algebra
☆489Updated 3 weeks ago
Alternatives and similar repositories for cola
Users that are interested in cola are comparing it to the libraries listed below
Sorting:
- Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.☆628Updated last week
- Uncertainty quantification with PyTorch☆369Updated 4 months ago
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆462Updated this week
- Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax☆464Updated last month
- Oryx is a library for probabilistic programming and deep learning built on top of Jax.☆275Updated this week
- Gaussian processes in JAX and Flax.☆526Updated last week
- Run PyTorch in JAX. 🤝☆277Updated this week
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆112Updated 5 months ago
- Second Order Optimization and Curvature Estimation with K-FAC in JAX.☆282Updated last month
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆990Updated 4 months ago
- Turn SymPy expressions into trainable JAX expressions.☆347Updated 4 months ago
- ☆247Updated last month
- AutoBound automatically computes upper and lower bounds on functions.☆361Updated last year
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆946Updated 3 months ago
- Mathematical operations for JAX pytrees☆200Updated 8 months ago
- ☆584Updated this week
- Large-scale, multi-GPU capable, kernel solver☆190Updated last month
- ☆205Updated this week
- Loopy belief propagation for factor graphs on discrete variables in JAX☆154Updated 10 months ago
- Parameter-Free Optimizers for Pytorch☆130Updated last year
- JAX Arrays for human consumption☆105Updated last month
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆308Updated last month
- A Python package for probabilistic state space modeling with JAX☆856Updated last month
- Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python☆489Updated 3 weeks ago
- Universal Tensor Operations in Einstein-Inspired Notation for Python.☆399Updated 4 months ago
- Geometric kernels on manifolds, meshes and graphs☆269Updated last month
- 🧱 Modula software package☆222Updated 3 weeks ago
- ☆180Updated last week
- MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvement…☆389Updated this week
- A Python package of computer vision models for the Equinox ecosystem.☆107Updated last year