Mu-DS / practical_trainingLinks
Material for the MUDS Practical Data Science Training
☆14Updated 4 years ago
Alternatives and similar repositories for practical_training
Users that are interested in practical_training are comparing it to the libraries listed below
Sorting:
- Likelihood-free AMortized Posterior Estimation with PyTorch☆130Updated 11 months ago
- Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations☆109Updated last year
- Probabilistic modeling of tabular data with normalizing flows.☆57Updated last month
- Combination of transformers and diffusion models for flexible all-in-one simulation-based inference☆69Updated last month
- multi-dimensional statistical test with python☆99Updated 8 months ago
- Bayesian Uncertainty Quantification by Deep Generative Model☆19Updated 5 years ago
- Implementation of Flexible Conditional Density Estimator☆23Updated last month
- Deep GPs built on top of TensorFlow/Keras and GPflow☆127Updated 9 months ago
- python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011☆132Updated 4 years ago
- Simulation-based inference benchmark☆100Updated 6 months ago
- sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you nee…☆713Updated this week
- A system for scientific simulation-based inference at scale.☆164Updated last year
- ⚡️ zeus: Lightning Fast MCMC ⚡️☆238Updated last year
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆456Updated 11 months ago
- Diagnostics for Conditional Density Estimators and Bayesian Inference Algorithms☆14Updated 3 years ago
- PhD Thesis☆35Updated last year
- Simulation-based inference in JAX☆33Updated 4 months ago
- Unleash the true power of scheduling☆30Updated 4 months ago
- Manifold Markov chain Monte Carlo methods in Python☆232Updated 2 months ago
- A list of Python-based MCMC & ABC packages☆123Updated 2 months ago
- Implemenation of PQMass from Lemos et al. 2024☆15Updated 3 months ago
- ☆11Updated last year
- pyGPCCA - python GPCCA: Generalized Perron Cluster Cluster Analysis package to coarse-grain reversible and non-reversible Markov state mo…☆21Updated 4 months ago
- Sliced Iterative Generator (SIG) & Gaussianizing Iterative Slicing (GIS)☆37Updated 2 years ago
- Community-sourced list of papers and resources on neural simulation-based inference.☆121Updated 2 months ago
- A high-dimensional Kolmogorov-Smirnov distance for comparing high dimensional distributions☆27Updated 2 years ago
- Geometric kernels on manifolds, meshes and graphs☆264Updated 3 weeks ago
- JHU Dissertation LaTeX mwe☆30Updated 5 years ago
- ☆28Updated 2 years ago
- Robust initialisation of inducing points in sparse variational GP regression models.☆33Updated 2 years ago