wilson-labs / colaLinks
Compositional Linear Algebra
☆492Updated 2 months ago
Alternatives and similar repositories for cola
Users that are interested in cola are comparing it to the libraries listed below
Sorting:
- Uncertainty quantification with PyTorch☆372Updated last week
- Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.☆644Updated this week
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆470Updated 3 weeks ago
- Oryx is a library for probabilistic programming and deep learning built on top of Jax.☆277Updated last week
- Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax☆480Updated last month
- Second Order Optimization and Curvature Estimation with K-FAC in JAX.☆288Updated last week
- Run PyTorch in JAX. 🤝☆292Updated 3 weeks ago
- Gaussian processes in JAX and Flax.☆539Updated this week
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆115Updated 6 months ago
- JAX Arrays for human consumption☆106Updated 2 months ago
- 🧱 Modula software package☆277Updated last month
- ☆247Updated 3 months ago
- AutoBound automatically computes upper and lower bounds on functions.☆363Updated last year
- Turn SymPy expressions into trainable JAX expressions.☆351Updated 5 months ago
- ☆593Updated last month
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆954Updated 5 months ago
- Loopy belief propagation for factor graphs on discrete variables in JAX☆156Updated 11 months ago
- ☆217Updated this week
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆308Updated 3 months ago
- A Python package for probabilistic state space modeling with JAX☆870Updated 2 months ago
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆996Updated 5 months ago
- Mathematical operations for JAX pytrees☆200Updated 9 months ago
- Geometric kernels on manifolds, meshes and graphs☆271Updated 2 months ago
- Multiple dispatch over abstract array types in JAX.☆129Updated 2 weeks ago
- OpTree: Optimized PyTree Utilities☆195Updated this week
- Parameter-Free Optimizers for Pytorch☆130Updated last year
- MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvement…☆398Updated last week
- Add a tqdm progress bar to your JAX scans and loops.☆117Updated 4 months ago
- Large-scale, multi-GPU capable, kernel solver☆191Updated 2 months ago
- Named Tensors for Legible Deep Learning in JAX☆205Updated last week