tedwards2412 / samplexLinks
Package of useful sampling algorithms written in MLX.
☆17Updated last year
Alternatives and similar repositories for samplex
Users that are interested in samplex are comparing it to the libraries listed below
Sorting:
- Special functions in Jax☆16Updated 11 months ago
- GATSBI: Generative Adversarial Training for Simulation-Based Inference☆19Updated 2 years ago
- GW polarization parameterizations and corresponding Jacobians.☆12Updated 2 years ago
- Stencil computations in JAX☆71Updated 2 months ago
- Minimal JAX implementation of k-nearest neighbors using a k-d tree.☆53Updated 6 months ago
- Fast, lightweight and parallelised simulation-based inference in JAX.☆22Updated 3 months ago
- Gradient Based Nested Sampling☆20Updated 2 years ago
- Modern normalizing flows in Python. Simple to use and easily extensible.☆11Updated 3 months ago
- Flow Annealed Importance Sampling Bootstrap (FAB) with JAX.☆13Updated last year
- Numerical relativity surrogate waveform in Jax☆19Updated 5 months ago
- Proximal Nested Sampling for high-dimensional Bayesian model selection☆26Updated last year
- Probabilistic programming framework for signal inference algorithms that operate regardless of the underlying grids and their resolutions☆40Updated last week
- JAX bindings to the Flatiron Institute Non-uniform Fast Fourier Transform (FINUFFT) library☆112Updated 2 weeks ago
- Package for data-driven and phenomenological gravitational waveform models☆12Updated 11 months ago
- A simple implementation of Hamiltonian Monte Carlo in JAX.☆20Updated last year
- Bind any function written in another language to JAX with support for JVP/VJP/batching/jit compilation☆75Updated 4 months ago
- Implementation of Forward Laplacian algorithm in JAX☆93Updated 2 months ago
- Gravitational-wave data analysis tools in Jax☆78Updated 5 months ago
- KENN - A Transformer Encoder for Gravitational Waves☆11Updated 4 months ago
- Differentiable Gravitational Waveforms with JAX☆71Updated 6 months ago
- Notebook to go along with a lecture for the MIT course 8.16: Data Science in Physics on neural simulation-based inference.☆61Updated 2 years ago
- Conditional Flow Matching using JAX☆13Updated 2 years ago
- Implementation of papers in 101 lines of code.☆18Updated 2 years ago
- JAX + Units☆52Updated last month
- A small library of paramaterizations and parameter constraints for PyTrees.☆50Updated last week
- Detecting binary black hole mergers in LIGO with neural networks☆17Updated last week
- JAX bindings for the NVIDIA cuDecomp library☆51Updated 3 months ago
- ☆31Updated 2 years ago
- Unitful Quantities in JAX☆51Updated this week
- Probabilistic modeling of tabular data with normalizing flows.☆58Updated 2 weeks ago