HajimeKawahara / exojaxLinks
🐈 Automatic differentiable spectrum modeling of exoplanets/brown dwarfs using JAX, compatible with NumPyro and Optax/JAXopt
☆61Updated 2 weeks ago
Alternatives and similar repositories for exojax
Users that are interested in exojax are comparing it to the libraries listed below
Sorting:
- Astronomical time series analysis with JAX☆63Updated last week
- Unitful Quantities in JAX☆42Updated last week
- Curated list of astronomy/astrophysics code packages using JAX☆45Updated 7 months ago
- Differentiable Gravitational Waveforms with JAX☆60Updated last month
- A miscellaneous set of helper functions, custom distributions, and other utilities that I find useful when using NumPyro in my work☆24Updated 5 months ago
- Galactic and Gravitational Dynamics in Python (+ GPU and autodiff)☆39Updated last month
- JAX-powered Cosmological Particle-Mesh N-body Solver☆48Updated last week
- Astronomy Research + JAX Meeting 2024☆13Updated 8 months ago
- Package for Neural Posterior Estimation and Importance Sampling focused on Astronomical Applications☆39Updated 4 months ago
- Neural Network-Boosted Importance Nested Sampling for Bayesian Statistics☆85Updated last month
- Gravitational-wave data analysis tools in Jax☆71Updated this week
- CPU/GPU agnostic gravitational-wave population inference☆49Updated 3 weeks ago
- Nested Sampling post-processing and plotting☆60Updated this week
- Differentiable Cosmological Forward Model☆83Updated 2 weeks ago
- An experiment: emcee implemented in JAX☆25Updated 3 years ago
- ☆16Updated 4 years ago
- Next generation Bayesian analysis tools for efficient posterior sampling and evidence estimation.☆27Updated 2 years ago
- Proximal Nested Sampling for high-dimensional Bayesian model selection☆25Updated last year
- Simulation-based (likelihood-free) inference customized for astronomical applications☆29Updated 8 months ago
- pocoMC: A Python implementation of Preconditioned Monte Carlo for accelerated Bayesian Computation☆104Updated last month
- Make a sweet giant triangle confusogram (GTC) plot☆33Updated last year
- Normalizing flow models allowing for a conditioning context, implemented using Jax, Flax, and Distrax.☆20Updated last year
- Using neural networks to extract sufficient statistics from data by maximising the Fisher information☆32Updated 2 years ago
- Special functions in Jax☆14Updated 4 months ago
- Machine learning assisted marginal likelihood (Bayesian evidence) estimation for Bayesian model selection☆69Updated last month
- Coordinates in JAX☆24Updated 2 weeks ago
- A python package for making arbitrarily structured, arbitrary-dimension boxes☆26Updated 3 weeks ago
- Differentiable cosmological emulators: the JAX version of CosmoPower☆40Updated 3 weeks ago
- nessai: Nested Sampling with Artificial Intelligence☆40Updated 3 weeks ago
- JAX bindings for the NVIDIA cuDecomp library☆38Updated 2 weeks ago