fab-torch

FAB algorithm

An implementation of the Flow Annealed Importance Sampling Bootstrap algorithm in Python.

Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.

GitHub

51 stars
2 watching
6 forks
Language: Python
last commit: over 2 years ago
annealed-importance-samplingboltzmann-distributionboltzmann-generatornormalizing-flow

Related projects:

RepositoryDescriptionStars
lollcat/fab-jax-oldAn implementation of Flow Annealed Importance Sampling Bootstrap (FAB) in JAX for probabilistic machine learning0
ljb121002/fednarA Python implementation of federated optimization algorithm with normalized annealing regularization.6
cyrilli/async-linucbImplementation of algorithms for federated linear bandits in multi-agent environments1
autodesk/xlbA library that accelerates the solution of fluid dynamics problems using a massively parallel lattice Boltzmann method.241
jorgecastilloprz/fabprogresscircleProvides a material progress circle around a FloatingActionButton.1,246
alikaraali/edge-based-dfe-tip2018An image processing project implementing edge-based defocus blur estimation with adaptive scale selection18
aimclub/fedotAn automated machine learning framework that generates optimal machine learning pipelines for various real-world problems.649
sebgao/lipImplementations of Local Importance-based Pooling (LIP) in PyTorch for image classification tasks.219
deepmed-lab-ecnu/deeprft-aaai2023An image deblurring technique based on frequency selection using machine learning models18
asappresearch/flambeAn ML framework for accelerating research and its integration into production workflows264
acerbilab/badsAn optimization algorithm designed to fit computational models in the absence of gradient information or noisy objective functions.246
buaa-cst/ilrgRecovery method for Federated Learning datasets using gradients to estimate instance-wise batch label restoration5
pp00704831/banet-tip-2022A PyTorch implementation of an attention network for dynamic scene deblurring37
ibm/fl-arbitrary-participationAnalyzes Federated Learning with Arbitrary Client Participation using various optimization strategies and datasets.4
kkkls/fftformerAn image deblurring method using transformer architecture265