Goobley / Radynversion

Related projects: ⓘ

• tingyuansen / deep-potential
  ☆16Updated 3 years ago
• EiffL / LLMAssistedResearch
  Exploring how ChatGPT can be used to accelerate research in cosmology.
  ☆12Updated last year
• aasensio / sicon
  Deep Learning Assisted Stokes Inversion
  ☆10Updated last year
• francois-rozet / diffusion-priors
  Learning Diffusion Priors from Observations by Expectation Maximization
  ☆17Updated last month
• adammoss / nnest
  Neural network nested and MCMC sampling
  ☆20Updated 2 years ago
• SihaoCheng / scattering_transform
  A webpage for the scattering transform. To calculate, you just need the folder called "scattering".
  ☆40Updated 6 months ago
• tomcharnock / IMNN
  Using neural networks to extract sufficient statistics from data by maximising the Fisher information
  ☆29Updated last year
• dfm / emcee-jax
  An experiment: emcee implemented in JAX
  ☆25Updated 2 years ago
• bccp / DeepUQ
  Bayesian Uncertainty Quantification by Deep Generative Model
  ☆19Updated 4 years ago
• astrockragh / Mangrove
  Using Graph Neural Networks to regress baryonic properties directly from full dark matter merger trees.
  ☆24Updated last year
• astro-informatics / proxnest
  Proximal Nested Sampling for high-dimensional Bayesian model selection
  ☆20Updated 5 months ago
• deepskies / DeeplyUncertain-Public
  ☆28Updated last year
• AlexandreAdam / score_models
  A repository to store state of the art score model architectures
  ☆38Updated last week
• RobertJaro / NF2
  ☆22Updated last week
• DifferentiableUniverseInitiative / GalFlow
  A TensorFlow reimplementation of GalSim
  ☆10Updated 2 years ago
• i4Ds / awesome-helio
  A curated list of datasets, tools and papers for machine learning in heliophysics.
  ☆23Updated last year
• RobertJaro / InstrumentToInstrument
  ☆12Updated last month
• EiffL / Quarks2CosmosDataChallenge
  Material for the CMU Quarks2Cosmos Conference Data Challenges
  ☆14Updated last year
• kstoreyf / anomalies-GAN-HSC
  detecting anomalies in hyper suprime-cam images with generative adversarial networks
  ☆10Updated 3 years ago
• mwalmsley / galaxy_mnist
  Galaxy images labelled by morphology (shape). Aimed at ML development and teaching.
  ☆31Updated last year
• NiallJeffrey / MomentNetworks
  Demonstration of MomentNetworks for high-dimensional probability density estimation (LFI)
  ☆14Updated 2 years ago
• JoeriHermans / constraining-dark-matter-with-stellar-streams-and-ml
  Probing the nature of dark matter by inferring the dark matter particle mass with machine learning and stellar streams.
  ☆17Updated last year
• dflemin3 / approxposterior
  A Python package for approximate Bayesian inference and optimization using Gaussian processes
  ☆41Updated 10 months ago
• AngusWright / AstroStats
  Repository for Angus H Wright's AstroStatistics Lecture Materials
  ☆13Updated 2 years ago
• justinalsing / pydelfi
  Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations
  ☆102Updated last year
• montefiore-ai / balanced-nre
  Code for the paper "Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation".
  ☆12Updated last year
• dpiras / cosmopower-jax
  Differentiable cosmological emulators: the JAX version of cosmopower
  ☆28Updated 2 months ago
• plcrodrigues / HNPE
  Repository with the code of "HNPE: Leveraging Global Parameters for Neural Posterior Estimation"
  ☆12Updated 6 months ago
• dfm / cv
  My CV
  ☆36Updated this week
• wangbingjie / sbi_pp
  Simulation-based (likelihood-free) inference customized for astronomical applications
  ☆24Updated 7 months ago