Alternatives and similar repositories for PytorchPAE

Users that are interested in PytorchPAE are comparing it to the libraries listed below

• biweidai / SINF
  Sliced Iterative Generator (SIG) & Gaussianizing Iterative Slicing (GIS)
  ☆37Updated 2 years ago
• bccp / DeepUQ
  Bayesian Uncertainty Quantification by Deep Generative Model
  ☆19Updated 5 years ago
• probabilists / lampe
  Likelihood-free AMortized Posterior Estimation with PyTorch
  ☆131Updated last year
• jfcrenshaw / pzflow
  Probabilistic modeling of tabular data with normalizing flows.
  ☆58Updated last week
• mackelab / simformer
  Combination of transformers and diffusion models for flexible all-in-one simulation-based inference
  ☆71Updated 3 months ago
• sbi-dev / pyknos
  Conditional density estimation with neural networks
  ☆33Updated 8 months ago
• dingo-gw / flow-matching-posterior-estimation
  ☆27Updated last year
• zhao-david / CDE-diagnostics
  Diagnostics for Conditional Density Estimators and Bayesian Inference Algorithms
  ☆15Updated 3 years ago
• justinalsing / pydelfi
  Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations
  ☆110Updated 2 years ago
• astrockragh / Mangrove
  Using Graph Neural Networks to regress baryonic properties directly from full dark matter merger trees.
  ☆24Updated 2 months ago
• markvdw / RobustGP
  Robust initialisation of inducing points in sparse variational GP regression models.
  ☆33Updated 3 years ago
• deepskies / DeeplyUncertain-Public
  ☆28Updated 2 years ago
• jmaronas / TGP.pytorch
  Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021
  ☆24Updated 2 years ago
• AlexandreAdam / score_models
  A repository to store state of the art score model architectures
  ☆57Updated last month
• TyXe-BDL / TyXe
  ☆154Updated 3 years ago
• martin-marek / mini-hmc-jax
  A simple implementation of Hamiltonian Monte Carlo in JAX.
  ☆21Updated last year
• smsharma / awesome-neural-sbi
  Community-sourced list of papers and resources on neural simulation-based inference.
  ☆128Updated 4 months ago
• kstoreyf / anomalies-GAN-HSC
  detecting anomalies in hyper suprime-cam images with generative adversarial networks
  ☆11Updated 4 years ago
• pnnl / DDKS
  A high-dimensional Kolmogorov-Smirnov distance for comparing high dimensional distributions
  ☆27Updated 3 years ago
• thoglu / jammy_flows
  A package to describe amortized (conditional) normalizing-flow PDFs defined jointly on tensor products of manifolds with coverage control…
  ☆46Updated 6 months ago
• tomcharnock / IMNN
  Using neural networks to extract sufficient statistics from data by maximising the Fisher information
  ☆32Updated 2 years ago
• astro-informatics / harmonic
  Machine learning assisted marginal likelihood (Bayesian evidence) estimation for Bayesian model selection
  ☆69Updated last week
• dflemin3 / approxposterior
  A Python package for approximate Bayesian inference and optimization using Gaussian processes
  ☆42Updated last year
• smsharma / PAPERCLIP-Hubble
  Semantic alignment of astronomical data with natural language using multi-modal models. (Jax) Code associated with https://arxiv.org/abs/…
  ☆16Updated 11 months ago
• montefiore-institute / balanced-nre
  Code for the paper "Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation".
  ☆14Updated 2 years ago
• ThomasHelfer / multimodal-supernovae
  A codebase dedicated to exploring multimodal learning approaches by integrating images of host galaxies of supernovae and their correspon…
  ☆15Updated 8 months ago
• crisbodnar / ndp
  Official code for the ICLR 2021 paper Neural ODE Processes
  ☆75Updated 3 years ago
• ratschlab / bnn_priors
  Code for the paper "Bayesian Neural Network Priors Revisited"
  ☆58Updated 4 years ago
• mj-will / nessai
  nessai: Nested Sampling with Artificial Intelligence
  ☆41Updated 3 weeks ago
• undark-lab / swyft
  A system for scientific simulation-based inference at scale.
  ☆164Updated last year