francois-rozet / inoxLinks
Stainless neural networks in JAX
☆34Updated 2 months ago
Alternatives and similar repositories for inox
Users that are interested in inox are comparing it to the libraries listed below
Sorting:
- Generative models with JAX.☆17Updated 5 months ago
- Distrax, but in equinox. Lightweight JAX library of probability distributions and bijectors.☆31Updated last month
- Jaxpr Visualisation Tool☆28Updated 5 months ago
- A simple implementation of Hamiltonian Monte Carlo in JAX.☆19Updated last year
- ☆162Updated last month
- Simulation-based inference in JAX☆31Updated last month
- Visualize, create, and operate on pytrees in the most intuitive way possible.☆45Updated 4 months ago
- Add a tqdm progress bar to your JAX scans and loops.☆109Updated 3 weeks ago
- Flow Annealed Importance Sampling Bootstrap (FAB) with JAX.☆11Updated 11 months ago
- Probabilistic modeling of tabular data with normalizing flows.☆56Updated 2 weeks ago
- Conditional Flow Matching using JAX☆13Updated last year
- Minimal JAX implementation of k-nearest neighbors using a k-d tree.☆37Updated this week
- Code for Gaussian Score Matching Variational Inference☆33Updated 3 months ago
- ☆26Updated last year
- A small library of paramaterizations and parameter constraints for PyTrees.☆33Updated last month
- Stencil computations in JAX☆71Updated last year
- Gaussian Mixture Models in Jax☆19Updated 4 months ago
- Unitful Quantities in JAX☆40Updated this week
- Unleash the true power of scheduling☆29Updated 2 months ago
- ☆52Updated 2 years ago
- Differentiable and accelerated wavelet transform on the sphere with JAX☆18Updated last week
- Combination of transformers and diffusion models for flexible all-in-one simulation-based inference☆67Updated 11 months ago
- A dead simple Python package for creating custom JAX pytree objects☆63Updated 6 months ago
- Fast, lightweight and parallelised simulation-based inference in JAX.☆18Updated this week
- Multiple dispatch over abstract array types in JAX.☆124Updated this week
- JAX Arrays for human consumption☆91Updated last year
- Likelihood-free AMortized Posterior Estimation with PyTorch☆128Updated 9 months ago
- Normalizing flow models allowing for a conditioning context, implemented using Jax, Flax, and Distrax.☆20Updated last year
- Gradient Based Nested Sampling☆20Updated last year
- Official implementation of Learning Diffusion Priors from Observations by Expectation Maximization☆26Updated 2 months ago