Alternatives and similar repositories for HEP-Challenge:

Users that are interested in HEP-Challenge are comparing it to the libraries listed below

• automl / TransformersCanDoBayesianInference
  Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper
  ☆197Updated 2 months ago
• VectorInstitute / vbll
  Simple (and cheap!) neural network uncertainty estimation
  ☆59Updated this week
• probabilists / lampe
  Likelihood-free AMortized Posterior Estimation with PyTorch
  ☆122Updated 4 months ago
• y0ast / DUE
  Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".
  ☆111Updated 2 years ago
• GFNOrg / torchgfn
  A modular, easy to extend GFlowNet library
  ☆247Updated last week
• alisiahkoohi / Langevin-dynamics
  Sampling with gradient-based Markov Chain Monte Carlo approaches
  ☆94Updated 9 months ago
• smsharma / awesome-neural-sbi
  Community-sourced list of papers and resources on neural simulation-based inference.
  ☆106Updated last month
• chenw20 / SGPA
  Example code of Sparse Gaussian Process Attention (ICLR 2023)
  ☆22Updated 6 months ago
• VincentStimper / resampled-base-flows
  Normalizing Flows with a resampled base distribution
  ☆44Updated 2 years ago
• probabilisticai / probai-2023
  Materials of the Nordic Probabilistic AI School 2023.
  ☆85Updated last year
• TyXe-BDL / TyXe
  ☆147Updated 2 years ago
• Tikquuss / GflowNets_Tutorial
  GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Metho…
  ☆84Updated last year
• tristandeleu / jax-dag-gflownet
  Code for "Bayesian Structure Learning with Generative Flow Networks"
  ☆82Updated 2 years ago
• biweidai / SINF
  Sliced Iterative Generator (SIG) & Gaussianizing Iterative Slicing (GIS)
  ☆36Updated last year
• eemlcommunity / PracticalSessions2022
  Hands-on tutorials at EEML2022 summer school
  ☆61Updated 2 years ago
• smsharma / point-cloud-galaxy-diffusion
  Transformer-guided diffusion for galaxy clustering. Code repository associated with https://arxiv.org/abs/2311.17141
  ☆22Updated last year
• automl / PFNs4BO
  The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization
  ☆24Updated 10 months ago
• EddieCunningham / generax
  Generative models with JAX.
  ☆17Updated 2 weeks ago
• automl / PFNs
  Our maintained PFN repository. Come here to train SOTA PFNs.
  ☆56Updated 2 months ago
• Feuermagier / Beyond_Deep_Ensembles
  Code for the paper "Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift"
  ☆21Updated last year
• graphnet-team / graphnet
  A Deep learning library for neutrino telescopes
  ☆98Updated last week
• wiseodd / pub-ready-plots
  Agustinus' very opiniated publication-ready plotting library
  ☆61Updated 4 months ago
• d-tiapkin / gflownet-rl
  Repository for "Generative Flow Networks as Entropy-Regularized RL" (AISTATS-2024, Oral)
  ☆30Updated 8 months ago
• SamsungLabs / BayesDLL
  ☆143Updated last year
• LukasRinder / normalizing-flows
  Implementation of normalizing flows in TensorFlow 2 including a small tutorial.
  ☆146Updated 4 months ago
• fbickfordsmith / epig
  Bayesian active learning with EPIG data acquisition
  ☆26Updated 2 weeks ago
• PGM-Lab / 2023-ProbAI
  Repo for the Tutorials of Day1-Day2 of the Nordic Probabilistic AI School 2023
  ☆17Updated last year
• niklasnolte / MonotonicNetworks
  ☆41Updated 7 months ago
• tranbahien / you-need-a-good-prior
  All You Need is a Good Functional Prior for Bayesian Deep Learning (JMLR 2022)
  ☆21Updated 2 years ago
• facebookresearch / symbolicregression
  SR based on LLMs.
  ☆92Updated 2 years ago