VMBoehm / PytorchPAELinks
Implemenations of PAE in pytorch
☆12Updated 3 years ago
Alternatives and similar repositories for PytorchPAE
Users that are interested in PytorchPAE are comparing it to the libraries listed below
Sorting:
- Sliced Iterative Generator (SIG) & Gaussianizing Iterative Slicing (GIS)☆37Updated 2 years ago
- Likelihood-free AMortized Posterior Estimation with PyTorch☆131Updated last year
- Probabilistic modeling of tabular data with normalizing flows.☆58Updated 3 weeks ago
- Combination of transformers and diffusion models for flexible all-in-one simulation-based inference☆79Updated 6 months ago
- Diagnostics for Conditional Density Estimators and Bayesian Inference Algorithms☆15Updated 3 years ago
- Conditional density estimation with neural networks☆35Updated 11 months ago
- Bayesian Uncertainty Quantification by Deep Generative Model☆19Updated 5 years ago
- ☆30Updated 2 years ago
- Robust initialisation of inducing points in sparse variational GP regression models.☆34Updated 3 years ago
- A high-dimensional Kolmogorov-Smirnov distance for comparing high dimensional distributions☆27Updated 3 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆58Updated 4 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆75Updated 3 years ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆25Updated 3 years ago
- Probabilistic Auto-Encoder☆43Updated 3 years ago
- A simple implementation of Hamiltonian Monte Carlo in JAX.☆20Updated last year
- Using Graph Neural Networks to regress baryonic properties directly from full dark matter merger trees.☆24Updated 5 months ago
- Simulation-based inference benchmark☆108Updated 11 months ago
- A Python package for approximate Bayesian inference and optimization using Gaussian processes☆43Updated 2 years ago
- Community-sourced list of papers and resources on neural simulation-based inference.☆139Updated this week
- Codes for ICLR 21 paper: Neural Approximate Sufficient Statistics for Implicit Models☆20Updated 3 years ago
- Implementation of normalizing flows in TensorFlow 2 including a small tutorial.☆146Updated 3 months ago
- Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations☆110Updated 2 years ago
- ☆155Updated 3 years ago
- GATSBI: Generative Adversarial Training for Simulation-Based Inference☆19Updated 2 years ago
- Modern normalizing flows in Python. Simple to use and easily extensible.☆11Updated 2 months ago
- Normalizing Flows with a resampled base distribution☆47Updated 3 years ago
- detecting anomalies in hyper suprime-cam images with generative adversarial networks☆11Updated 4 years ago
- A repository to store state of the art score model architectures☆59Updated 3 weeks ago
- Semantic alignment of astronomical data with natural language using multi-modal models. (Jax) Code associated with https://arxiv.org/abs/…☆17Updated last year
- Gravitational-wave data analysis tools in Jax☆78Updated 4 months ago