About A collection of AWESOME things about information geometry Topics
Code accompanying our papers on the "Generative Distributional Control" framework
Official implementation of the NeurIPS 24 paper of statistical flow matching (SFM) for discrete generation.
Embedding language models in probability space via log-likelihood vectors
Official code for Fisher information embedding for node and graph learning (ICML 2023)
[ICLR 2026] Official implementation of the paper: Learning a distance measure from the information-estimation geometry of data
Fisher-Bures Adversary Graph Convolutional Networks
Research-grade PyTorch math: differential geometry, spectral graph theory, discrete Ricci flow, simplicial topology, persistent homology, cellular sheaves, SO(3) Lie primitives, information geometry, tensor decompositions, content-addressable provenance. GPU-native, batched-first, audit-clean, cited.
PyTorch implementation of α-geodesical skew divergence
This is an awesome list for information geometry. This is my curation of resources on this topic as such there are bound to be things I missed, please contribute if you think I missed anything.
Chow-Liu algorithm learning optimal tree-structured Bayesian Networks from mutual information matrices via maximum weight spanning trees.
The Golomb Universe
Chow-Liu algorithm learning optimal tree-structured Bayesian Networks from mutual information matrices via maximum weight spanning trees.
Picture of the Space of Learnable Tasks (ICML 23)
Topological Manifold Control: A multi-paradigm (PyTorch/JAX) geometric morphing engine utilizing differentiable soft-gating, optimized via XLA fused kernels and autograd-isolated non-blocking pipelines.
Standalone catalog of formally verified theorems spanning the Free Energy Principle, Active Inference, Bayesian Mechanics, Information Geometry, and Thermodynamics.
Essential Books for Computer Science
this project is a simulation of Signal Detection for Ultra-Massive MIMO: An Information Geometry Approach paper. This is my project for Detection and Estimation class.
Lean 4 library characterizing the algebraic structure of metastability and consolidation in stochastic systems
A barrier-coordinate theory of existential risk measurement.
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