About A collection of AWESOME things about information geometry Topics
☆188Jul 4, 2024Updated last year
Alternatives and similar repositories for awesome-information-geometry
Users that are interested in awesome-information-geometry are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Repository for the paper "Riemannian Laplace approximations for Bayesian neural networks"☆12Dec 24, 2023Updated 2 years ago
- hierarchical core-periphery structure☆10Jul 21, 2023Updated 2 years ago
- Quantify geometric intelligence in natural and artificial brains.☆51Jun 25, 2025Updated 9 months ago
- A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond☆1,058Feb 24, 2026Updated last month
- Package for solving dial-a-ride problems.☆11Apr 16, 2024Updated 2 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch☆221Mar 31, 2026Updated 2 weeks ago
- ☆11Sep 27, 2022Updated 3 years ago
- Official project page for Estimating the Rate-Distortion Function by Wasserstein Gradient Descent☆19Nov 2, 2023Updated 2 years ago
- ChebLieNet, a spectral graph neural network turned equivariant by Riemannian geometry on Lie groups.☆14Aug 20, 2024Updated last year
- Inpainting protein sequence and structure☆12Nov 10, 2023Updated 2 years ago
- Computations and statistics on manifolds with geometric structures.☆1,478Apr 1, 2026Updated 2 weeks ago
- Official PyTorch implementation of the ICML 2023 paper "Adaptive IMLE for Few-shot Pretraining-free Generative Modelling "☆16Feb 13, 2025Updated last year
- The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022☆67Oct 23, 2022Updated 3 years ago
- MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".☆18Jun 12, 2023Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆15Dec 7, 2021Updated 4 years ago
- Load & manage evolving datasets efficiently☆23Aug 22, 2025Updated 7 months ago
- Official repository for Cell Attention Networks☆15Jan 11, 2024Updated 2 years ago
- The Linear Optimal Transport Framework☆16Oct 7, 2020Updated 5 years ago
- This is the code for the paper Embrace the Gap: VAEs perform Independent Mechanism Analysis, showing that optimizing the ELBO is equivale…☆22Apr 22, 2024Updated last year
- Topoly Python test package☆10Sep 8, 2025Updated 7 months ago
- Official implementation of the NeurIPS 24 paper of statistical flow matching (SFM) for discrete generation.☆47Nov 7, 2024Updated last year
- Algorithms for computations on random manifolds made easier☆95Dec 4, 2023Updated 2 years ago
- A Python library for variational inference with normalizing flow and annealing☆15Mar 13, 2025Updated last year
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- [ICLR 2023] "Graph Domain Adaptation via Theory-Grounded Spectral Regularization" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆23Feb 27, 2023Updated 3 years ago
- Implementation of Stein Variational Gradient Descent with TensorFlow 2.0☆12Sep 11, 2019Updated 6 years ago
- [ICML 2024]: Official implementation for the paper: "Consistent Diffusion Meets Tweedie"☆53Apr 26, 2024Updated last year
- A simulator of Michelson interferometer.☆13Nov 23, 2020Updated 5 years ago
- Implementation of Action Matching for the Schrödinger equation☆25Jun 18, 2023Updated 2 years ago
- CAT-Walk is an inducive method that learns hyperedge representations via a novel higher-order random walk, SetWalk.☆20Oct 16, 2023Updated 2 years ago
- Official code for "In Search of Robust Measures of Generalization" (NeurIPS 2020)☆28Dec 22, 2020Updated 5 years ago
- Official Implementation of the paper: "A Rate-Distorion View of Uncertainty Quantification", ICML 2024☆29Sep 3, 2024Updated last year
- Code of the paper "Listening to the Noise: Blind Denoising with Gibbs Diffusion"☆33Jun 24, 2024Updated last year
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- [ICLR'22] Representation-Agnostic Shape Fields☆17Dec 8, 2022Updated 3 years ago
- Topological Deep Learning☆330Apr 9, 2026Updated last week
- [IEEE TSIPN' 2022] "Scalable Perception-Action-Communication Loops with Convolutional and Graph Neural Networks", by Ting-Kuei Hu, Fernan…☆15Feb 4, 2022Updated 4 years ago
- Neural Optimal Transport with Lagrangian Costs☆62May 20, 2025Updated 10 months ago
- A curated list of reading material and lecture notes for all things geometry. Mostly focussed on differential and Riemannian geometry wit…☆23Jan 26, 2018Updated 8 years ago
- A curated list of topological deep learning (TDL) resources and links.☆280Oct 20, 2025Updated 5 months ago
- Prototype for a Category Theory-based GNN Library☆15Apr 20, 2022Updated 3 years ago