tedwards2412 / samplex
Package of useful sampling algorithms written in MLX.
☆17Updated 8 months ago
Related projects ⓘ
Alternatives and complementary repositories for samplex
- GW polarization parameterizations and corresponding Jacobians.☆9Updated last year
- Proximal Nested Sampling for high-dimensional Bayesian model selection☆22Updated 6 months ago
- GATSBI: Generative Adversarial Training for Simulation-Based Inference☆17Updated last year
- A Jax wrapper for cudaKDTree☆10Updated last year
- Gradient Based Nested Sampling☆16Updated 9 months ago
- JAX + Units☆43Updated this week
- Differentiable Gravitational Waveforms with JAX☆54Updated 2 months ago
- Notebook to go along with a lecture for the MIT course 8.16: Data Science in Physics on neural simulation-based inference.☆45Updated last year
- ☆67Updated this week
- Orbital dynamics and waveforms for binary black-hole systems, in the post-Newtonian approximation☆12Updated 2 weeks ago
- Differentiable cosmological emulators: the JAX version of CosmoPower☆30Updated last week
- A JAX package for weak gravitational lensing☆30Updated 6 months ago
- Paper introducing jax-cosmo☆14Updated last year
- Gravitational-wave data analysis tools in Jax☆58Updated 2 weeks ago
- Implementation of papers in 101 lines of code.☆18Updated last year
- JAX bindings to the Flatiron Institute Non-uniform Fast Fourier Transform (FINUFFT) library☆80Updated this week
- OGRePy: An Object-Oriented General Relativity Package for Python☆22Updated last month
- Stencil computations in JAX☆66Updated last year
- Code to replicate posterior probability distributions with bijectors/KDEs and perform marginal KL/bayesian dimensionality calculations.☆13Updated 7 months ago
- Probabilistic modeling of tabular data with normalizing flows.☆55Updated 4 months ago
- FeynGrav is a Wolfram Mathematica package that implements Feynman rules for gravity within FeynCalc framewok.☆9Updated 3 months ago
- A Package for Bayesian inference of expensive likelihoods with Gaussian Processes☆22Updated this week
- Using Graph Neural Networks to regress baryonic properties directly from full dark matter merger trees.☆24Updated last year
- Stainless neural networks in JAX☆30Updated 3 weeks ago
- Probing the nature of dark matter by inferring the dark matter particle mass with machine learning and stellar streams.☆17Updated last year
- Bind any function written in another language to JAX with support for JVP/VJP/batching/jit compilation☆61Updated 4 months ago
- Probabilistic programming framework for signal inference algorithms that operate regardless of the underlying grids and their resolutions☆20Updated this week
- Investigating the information content in the cosmic web through dark matter halo graphs. Arxiv paper: https://arxiv.org/abs/2207.05202☆12Updated 9 months ago
- 🐈 Automatic differentiable spectrum modeling of exoplanets/brown dwarfs using JAX, compatible with NumPyro and JAXopt☆57Updated last month
- Visualize, create, and operate on pytrees in the most intuitive way possible.☆41Updated last month