astro-informatics / QuantifAILinks
PyTorch-based radio-interferometric imaging reconstruction package with scalable Bayesian uncertainty quantification relying on data-driven (learned) priors
☆12Updated 10 months ago
Alternatives and similar repositories for QuantifAI
Users that are interested in QuantifAI are comparing it to the libraries listed below
Sorting:
- Official implementation of Learning Diffusion Priors from Observations by Expectation Maximization☆33Updated 2 months ago
- Implicit neural representations for strong lensing source reconstruction. Code repository associated with https://arxiv.org/abs/2206.1482…☆12Updated 2 years ago
- Differentiable and accelerated wavelet transform on the sphere with JAX☆24Updated 7 months ago
- Exploring how ChatGPT can be used to accelerate research in cosmology.☆12Updated 3 years ago
- Data-driven wavefront-based PSF modelling framework.☆20Updated this week
- JAX bindings to the Flatiron Institute Non-uniform Fast Fourier Transform (FINUFFT) library☆109Updated this week
- Bind any function written in another language to JAX with support for JVP/VJP/batching/jit compilation☆75Updated 3 months ago
- A JAX package for weak gravitational lensing☆35Updated last year
- ☆22Updated 5 years ago
- Stainless neural networks in JAX☆34Updated last month
- Sliced Iterative Generator (SIG) & Gaussianizing Iterative Slicing (GIS)☆37Updated 2 years ago
- Differentiable optical models as parameterised neural networks in Jax using Zodiax☆63Updated last month
- Minimal JAX implementation of k-nearest neighbors using a k-d tree.☆52Updated 5 months ago
- ☆30Updated 2 years ago
- Deep Probabilistic Imaging (DPI): Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging☆38Updated 3 years ago
- Conditional Flow Matching using JAX☆13Updated 2 years ago
- Repository with the code of "HNPE: Leveraging Global Parameters for Neural Posterior Estimation"☆13Updated last year
- A repository to store state of the art score model architectures☆59Updated 3 weeks ago
- Probabilistic modeling of tabular data with normalizing flows.☆58Updated 3 weeks ago
- Differentiable and gpu enabled fast wavelet transforms in JAX.☆48Updated last year
- A simple implementation of Hamiltonian Monte Carlo in JAX.☆20Updated last year
- poppy derivatives☆22Updated 4 years ago
- Flow Annealed Importance Sampling Bootstrap (FAB) with JAX.☆12Updated last year
- tutorials on shape measurement☆10Updated 4 years ago
- Using neural networks to extract sufficient statistics from data by maximising the Fisher information☆32Updated 2 years ago
- ☆10Updated 3 years ago
- Fast, lightweight and parallelised simulation-based inference in JAX.☆22Updated 2 months ago
- JAX-powered Cosmological Particle-Mesh N-body Solver☆58Updated 3 weeks ago
- Probabilistic programming framework for signal inference algorithms that operate regardless of the underlying grids and their resolutions☆40Updated 3 weeks ago
- Coverage tests to check the quality of your posterior estimators.☆32Updated last year