VMBoehm / PytorchPAELinks
Implemenations of PAE in pytorch
☆12Updated 2 years ago
Alternatives and similar repositories for PytorchPAE
Users that are interested in PytorchPAE are comparing it to the libraries listed below
Sorting:
- Probabilistic modeling of tabular data with normalizing flows.☆57Updated 3 weeks ago
- Sliced Iterative Generator (SIG) & Gaussianizing Iterative Slicing (GIS)☆37Updated 2 years ago
- Diagnostics for Conditional Density Estimators and Bayesian Inference Algorithms☆14Updated 3 years ago
- Likelihood-free AMortized Posterior Estimation with PyTorch☆130Updated 10 months ago
- Conditional density estimation with neural networks☆31Updated 6 months ago
- Combination of transformers and diffusion models for flexible all-in-one simulation-based inference☆68Updated 3 weeks ago
- Community-sourced list of papers and resources on neural simulation-based inference.☆118Updated 2 months ago
- Machine learning assisted marginal likelihood (Bayesian evidence) estimation for Bayesian model selection☆69Updated last month
- ☆27Updated last year
- Bayesian Uncertainty Quantification by Deep Generative Model☆19Updated 4 years ago
- ☆152Updated 2 years ago
- A repository to store state of the art score model architectures☆55Updated 7 months ago
- Simulation-based inference benchmark☆97Updated 5 months ago
- A simple implementation of Hamiltonian Monte Carlo in JAX.☆20Updated last year
- Robust initialisation of inducing points in sparse variational GP regression models.☆33Updated 2 years ago
- Simulation-based inference in JAX☆32Updated 3 months ago
- Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations☆109Updated last year
- A system for scientific simulation-based inference at scale.☆164Updated last year
- GATSBI: Generative Adversarial Training for Simulation-Based Inference☆18Updated 2 years ago
- A Python package for approximate Bayesian inference and optimization using Gaussian processes☆42Updated last year
- Gravitational-wave data analysis tools in Jax☆72Updated this week
- Probabilistic Auto-Encoder☆43Updated 2 years ago
- A high-dimensional Kolmogorov-Smirnov distance for comparing high dimensional distributions☆27Updated 2 years ago
- Using Graph Neural Networks to regress baryonic properties directly from full dark matter merger trees.☆24Updated 2 months ago
- Galaxy images labelled by morphology (shape). Aimed at ML development and teaching.☆39Updated 2 years ago
- Implemenation of PQMass from Lemos et al. 2024☆15Updated 2 months ago
- Implementation of normalizing flows in TensorFlow 2 including a small tutorial.☆147Updated last month
- Code for the paper "Bayesian Neural Network Priors Revisited"☆57Updated 4 years ago
- A webpage for the scattering transform. To calculate, you just need the folder called "scattering".☆58Updated 9 months ago
- Codes for ICLR 21 paper: Neural Approximate Sufficient Statistics for Implicit Models☆20Updated 3 years ago