Alternatives and similar repositories for awesome-information-geometry

Users that are interested in awesome-information-geometry are comparing it to the libraries listed below

• bremen79 / parameterfree
  Parameter-Free Optimizers for Pytorch
  ☆130Updated last year
• wiseodd / pub-ready-plots
  Agustinus' very opiniated publication-ready plotting library
  ☆66Updated last month
• MachineLearningLifeScience / stochman
  Algorithms for computations on random manifolds made easier
  ☆90Updated last year
• lrnzgiusti / awesome-topological-deep-learning
  A curated list of topological deep learning (TDL) resources and links.
  ☆253Updated last week
• probabilisticai / probai-2022
  Materials of the Nordic Probabilistic AI School 2022.
  ☆181Updated 2 years ago
• probml / ssm-book
  Interactive textbook on state-space models
  ☆190Updated last year
• wilson-labs / cola
  Compositional Linear Algebra
  ☆477Updated 3 weeks ago
• fbach2000 / Learning_Theory_from_First_Principles
  Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach
  ☆109Updated last year
• SaitejaUtpala / rieoptax
  Riemannian Optimization Using JAX
  ☆49Updated last year
• YinTat / optimizationbook
  ☆140Updated 2 weeks ago
• georgiosarvanitidis / geometric_ml
  This repository contains code for applying Riemannian geometry in machine learning.
  ☆77Updated 4 years ago
• philipphennig / NumericsOfML
  Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen
  ☆206Updated last year
• topnn / topnn_framework
  ☆31Updated 4 years ago
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆104Updated last year
• alisiahkoohi / Langevin-dynamics
  Sampling with gradient-based Markov Chain Monte Carlo approaches
  ☆103Updated last year
• normal-computing / posteriors
  Uncertainty quantification with PyTorch
  ☆361Updated 2 months ago
• geomstats / challenge-iclr-2022
  GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021
  ☆51Updated 3 years ago
• cbg-ethz / bmi
  Mutual information estimators and benchmark
  ☆50Updated 5 months ago
• borjanG / 2023-transformers-rotf
  Codes for the paper "A mathematical perspective on Transformers".
  ☆37Updated 11 months ago
• jongharyu / neural-svd
  ☆16Updated 9 months ago
• team-approx-bayes / ivon
  IVON optimizer for neural networks based on variational learning.
  ☆68Updated 7 months ago
• google-deepmind / PGMax
  Loopy belief propagation for factor graphs on discrete variables in JAX
  ☆152Updated 8 months ago
• google-deepmind / conformal_training
  This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…
  ☆129Updated 2 years ago
• cornellius-gp / linear_operator
  A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
  ☆111Updated 3 months ago
• philipphennig / Probabilistic_ML
  Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023
  ☆162Updated last year
• f-dangel / curvlinops
  PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)
  ☆40Updated 2 months ago
• VectorInstitute / vbll
  Simple (and cheap!) neural network uncertainty estimation
  ☆66Updated 3 weeks ago
• wesselb / lab
  A generic interface for linear algebra backends
  ☆73Updated 3 months ago
• abdulfatir / langevin-monte-carlo
  A simple pytorch implementation of Langevin Monte Carlo algorithms.
  ☆51Updated 5 years ago
• akandykeller / NeuralWaveMachines
  Official Implementation of the ICML 2023 paper: "Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally …
  ☆72Updated 2 years ago