Alternatives and similar repositories for bnp:

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

• tung-nd / TNP-pytorch
  Official implementation of Transformer Neural Processes
  ☆71Updated 2 years ago
• GitGyun / multi_task_neural_processes
  [ICLR'22] Multi-Task Neural Processes
  ☆8Updated last year
• gibipara92 / learning-explanations-hard-to-vary
  Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard …
  ☆39Updated 4 years ago
• team-approx-bayes / kpriors
  Code for Knowledge-Adaptation Priors based on the NeurIPS 2021 paper by Khan and Swaroop.
  ☆16Updated 3 years ago
• team-approx-bayes / fromp
  Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"
  ☆44Updated 4 years ago
• thudzj / ELLA
  Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')
  ☆16Updated 2 years ago
• izmailovpavel / bnn_covariate_shift
  Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"
  ☆33Updated 2 years ago
• AMLab-Amsterdam / FNP
  Implementation of the Functional Neural Process models
  ☆43Updated 4 years ago
• lfbo-ml / lfbo
  Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022
  ☆44Updated 2 years ago
• hankook / CLEL
  ☆15Updated last year
• ruiqigao / recovery_likelihood
  ☆49Updated 3 years ago
• MingyuKim87 / NPwSA
  Official PyTorch implementation of NPwSA: "Neural Processes with Stochastic Attention: Paying more attention to the context dataset (ICLR…
  ☆10Updated 2 years ago
• RuntianZ / doro
  Distributional and Outlier Robust Optimization (ICML 2021)
  ☆26Updated 3 years ago
• haebeom-lee / metadrop
  Tensorflow implementation of "Meta Dropout: Learning to Perturb Latent Features for Generalization" (ICLR 2020)
  ☆27Updated 4 years ago
• dbsxodud-11 / ls_gfn
  Official Code for Local Search GFlowNets (ICLR 2024 Spotlight)
  ☆16Updated 5 months ago
• mingzhang-yin / ARM-gradient
  Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)
  ☆28Updated 5 years ago
• singhgautam / snp
  This is the official source code for Sequential Neural Processes.
  ☆40Updated 2 years ago
• wgrathwohl / LSD
  Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"
  ☆49Updated 4 years ago
• JWoong148 / MetaPerturb
  Pytorch implementation of “MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures” (NeurIPS 2020 spotlight)
  ☆13Updated 3 years ago
• jsikyoon / bmaml
  This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.
  ☆60Updated 5 years ago
• MichaelArbel / GeneralizedEBM
  ☆53Updated 6 months ago
• KU-LIM-Lab / hdm-official
  Official code release of Hilbert Diffusion Model (PyTorch ver.)
  ☆11Updated 5 months ago
• IBM / OoD
  Repository for theory and methods for Out-of-Distribution (OoD) generalization
  ☆63Updated 2 years ago
• ykwon0407 / wdro_local_perturbation
  Principled learning method for Wasserstein distributionally robust optimization with local perturbations (ICML 2020)
  ☆21Updated last year
• jinxu06 / metafun-tensorflow
  Code for "MetaFun: Meta-Learning with Iterative Functional Updates"
  ☆14Updated 4 years ago
• a7b23 / H-Divergence
  ☆21Updated 2 years ago
• bobby-he / bayesian-ntk
  Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'
  ☆27Updated 3 years ago
• tml-epfl / understanding-sam
  Towards Understanding Sharpness-Aware Minimization [ICML 2022]
  ☆35Updated 2 years ago
• zhougroup / BAM
  Bayesian Attention Modules
  ☆35Updated 4 years ago
• cunningham-lab / igr
  ☆31Updated 4 years ago