wilson-labs / colaLinks
Compositional Linear Algebra
☆474Updated this week
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.☆600Updated last week
- Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax☆443Updated last week
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆418Updated 2 weeks ago
- Oryx is a library for probabilistic programming and deep learning built on top of Jax.☆261Updated this week
- Uncertainty quantification with PyTorch☆356Updated last month
- Gaussian processes in JAX and Flax.☆512Updated last week
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆971Updated last month
- ☆572Updated last week
- MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvement…☆381Updated this week
- 🧱 Modula software package☆194Updated 2 months ago
- Run PyTorch in JAX. 🤝☆245Updated 3 months ago
- Second Order Optimization and Curvature Estimation with K-FAC in JAX.☆275Updated last week
- A Python package for probabilistic state space modeling with JAX☆822Updated 3 weeks ago
- Parameter-Free Optimizers for Pytorch☆129Updated last year
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆110Updated 2 months ago
- ☆855Updated last week
- Mathematical operations for JAX pytrees☆198Updated 5 months ago
- Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python☆476Updated 2 months ago
- ☆267Updated 10 months ago
- ☆246Updated 3 weeks ago
- ☆178Updated this week
- Universal Tensor Operations in Einstein-Inspired Notation for Python.☆374Updated last month
- Loopy belief propagation for factor graphs on discrete variables in JAX☆151Updated 7 months ago
- OpTree: Optimized PyTree Utilities☆184Updated this week
- Turn SymPy expressions into trainable JAX expressions.☆337Updated last month
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆918Updated last month
- Large-scale, multi-GPU capable, kernel solver☆187Updated 10 months ago
- ☆431Updated 7 months ago
- Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/☆1,415Updated last month
- CLU lets you write beautiful training loops in JAX.☆343Updated last month