deepsphere / deepsphere-cosmo-tf2Links
A spherical convolutional neural network for cosmology (TFv2).
☆21Updated 3 months ago
Alternatives and similar repositories for deepsphere-cosmo-tf2
Users that are interested in deepsphere-cosmo-tf2 are comparing it to the libraries listed below
Sorting:
- Gravitational-wave data analysis tools in Jax☆71Updated 2 weeks ago
- nessai: Nested Sampling with Artificial Intelligence☆40Updated 3 weeks ago
- Proximal Nested Sampling for high-dimensional Bayesian model selection☆25Updated last year
- Machine learning assisted marginal likelihood (Bayesian evidence) estimation for Bayesian model selection☆68Updated 3 weeks ago
- Using neural networks to extract sufficient statistics from data by maximising the Fisher information☆32Updated 2 years ago
- Bind any function written in another language to JAX with support for JVP/VJP/batching/jit compilation☆73Updated 2 months ago
- Differentiable Gravitational Waveforms with JAX☆60Updated last week
- 🐈 Automatic differentiable spectrum modeling of exoplanets/brown dwarfs using JAX, compatible with NumPyro and Optax/JAXopt☆61Updated this week
- Neural Network-Boosted Importance Nested Sampling for Bayesian Statistics☆86Updated 2 weeks ago
- Axion field evolution around QCD☆14Updated last week
- Parallel nested sampling☆29Updated last month
- Dingo: Deep inference for gravitational-wave observations☆84Updated last week
- A Fisher information matrix python package for GW detector networks.☆44Updated last week
- Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations☆109Updated last year
- PyAutoFit: Classy Probabilistic Programming☆64Updated last week
- A differentiable cosmology library in JAX☆203Updated 6 months ago
- hankl is a lightweight Python implementation of the FFTLog algorithm for Cosmology☆26Updated 2 years ago
- A Package for Bayesian inference of expensive likelihoods with Gaussian Processes☆28Updated last week
- Parallel tempering MCMC sampler package written in Python☆55Updated 9 months ago
- Package for Neural Posterior Estimation and Importance Sampling focused on Astronomical Applications☆39Updated 3 months ago
- An easy to use interface to gravitational wave surrogate models☆29Updated this week
- My course in gravitational wave data analysis at a summer school in Copenhagen in 2017.☆25Updated 7 years ago
- Galactic and Gravitational Dynamics in Python (+ GPU and autodiff)☆39Updated 2 weeks ago
- An omni-sampler for Bayesian MCMC☆49Updated 2 weeks ago
- Probabilistic programming framework for signal inference algorithms that operate regardless of the underlying grids and their resolutions☆31Updated last month
- Python/numba package for evaluating Wigner D matrices and spin-weighted spherical harmonics☆55Updated last month
- Neural network nested and MCMC sampling☆22Updated 3 years ago
- Notebooks for the ICERM workshop tutorials on surrogate models.☆12Updated 2 years ago
- Prototype library for LISA data analysis☆28Updated this week
- A simulation-based Inference (SBI) library designed for stochastic gravitational wave background data analysis☆14Updated 5 months ago