dfm / cvLinks
My CV
☆38Updated this week
Alternatives and similar repositories for cv
Users that are interested in cv are comparing it to the libraries listed below
Sorting:
- 🐈 Differentiable Spectrum Modeling of Exoplanets and Brown Dwarfs☆66Updated last week
- Make a sweet giant triangle confusogram (GTC) plot☆34Updated 2 years ago
- Using neural networks to extract sufficient statistics from data by maximising the Fisher information☆32Updated 2 years ago
- A system for scientific simulation-based inference at scale.☆163Updated last year
- Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations☆110Updated 2 years ago
- An experiment: emcee implemented in JAX☆27Updated 3 years ago
- Kernel Density Estimation and (re)sampling☆63Updated 2 years ago
- ☆16Updated 5 years ago
- JAX + Units☆52Updated 2 weeks ago
- Gaussian Mixture Models in Jax☆23Updated 5 months ago
- Proximal Nested Sampling for high-dimensional Bayesian model selection☆26Updated last year
- Next generation Bayesian analysis tools for efficient posterior sampling and evidence estimation.☆27Updated 3 years ago
- Neural network nested and MCMC sampling☆21Updated 4 years ago
- Special functions in Jax☆15Updated 9 months ago
- PyAutoFit: Classy Probabilistic Programming☆63Updated last week
- 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
- Inference of substructure properties in strong lensing systems with machine learning. Code repository associated with https://arxiv.org/a…☆32Updated 6 years ago
- A Python package for approximate Bayesian inference and optimization using Gaussian processes☆43Updated 2 years ago
- A differentiable cosmology library in JAX☆221Updated 6 months ago
- Galactic and Gravitational Dynamics in Python (+ GPU and autodiff)☆40Updated last month
- Unitful Quantities in JAX☆49Updated this week
- Meeting repo for likelihood free inference meeting☆14Updated 3 years ago
- Fast, lightweight and parallelised simulation-based inference in JAX.☆22Updated 2 months ago
- Gravitational-wave data analysis tools in Jax☆78Updated 4 months ago
- Probing the nature of dark matter by inferring the dark matter particle mass with machine learning and stellar streams.☆18Updated 3 years ago
- Code to replicate posterior probability distributions with bijectors/KDEs and perform marginal KL/bayesian dimensionality calculations.☆13Updated last week
- Using Graph Neural Networks to regress baryonic properties directly from full dark matter merger trees.☆24Updated 5 months ago
- A miscellaneous set of helper functions, custom distributions, and other utilities that I find useful when using NumPyro in my work☆27Updated 10 months ago
- A JAX-based gaussian process structure learning package for time series modelling.☆30Updated 7 months ago
- Astronomical time series analysis with JAX☆72Updated last week