nocotan / awesome-information-geometry
About A collection of AWESOME things about information geometry Topics
☆156Updated 8 months ago
Alternatives and similar repositories for awesome-information-geometry:
Users that are interested in awesome-information-geometry are comparing it to the libraries listed below
- Agustinus' very opiniated publication-ready plotting library☆62Updated last month
- Riemannian Optimization Using JAX☆48Updated last year
- A curated list of topological deep learning (TDL) resources and links.☆241Updated 2 weeks ago
- Loopy belief propagation for factor graphs on discrete variables in JAX☆144Updated 5 months ago
- Simple (and cheap!) neural network uncertainty estimation☆61Updated last month
- Materials of the Nordic Probabilistic AI School 2022.☆175Updated 2 years ago
- Algorithms for computations on random manifolds made easier☆88Updated last year
- Compositional Linear Algebra☆465Updated last week
- Scalable training and inference for Probabilistic Circuits☆56Updated last month
- Squared Non-monotonic Probabilistic Circuits☆22Updated 2 months ago
- Uncertainty quantification with PyTorch☆349Updated last week
- Interactive textbook on state-space models☆184Updated last year
- Parameter-Free Optimizers for Pytorch☆122Updated 11 months ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆169Updated 3 years ago
- Mutual information estimators and benchmark☆46Updated 2 months ago
- A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesi…☆52Updated last year
- The Energy Transformer block, in JAX☆56Updated last year
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆198Updated 11 months ago
- This repository contains code for applying Riemannian geometry in machine learning.☆77Updated 3 years ago
- Bayesian inference with Python and Jax.☆32Updated 2 years ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆97Updated 11 months ago
- ☆136Updated last week
- Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach☆93Updated last year
- Materials of the Nordic Probabilistic AI School 2023.☆89Updated last year
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆52Updated 2 years ago
- Code for the book "The Elements of Differentiable Programming".☆77Updated last week
- Official implementation of Stochastic Taylor Derivative Estimator (STDE) NeurIPS2024☆102Updated 4 months ago
- Geometric kernels on manifolds, meshes and graphs☆242Updated this week
- IVON optimizer for neural networks based on variational learning.☆60Updated 4 months ago
- TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch☆77Updated 9 months ago