BorgwardtLab / Neural-PersistenceLinks
Code for the paper 'Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology'
☆30Updated 6 years ago
Alternatives and similar repositories for Neural-Persistence
Users that are interested in Neural-Persistence are comparing it to the libraries listed below
Sorting:
- ☆35Updated 4 years ago
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆74Updated 9 years ago
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆54Updated 3 years ago
- My persistent homology related code.☆26Updated 5 years ago
- This code accompanies the paper "Persistence Images: A Stable Vector Representation of Persistent Homology".☆44Updated 5 years ago
- Topological Data Analysis in Python: Simplicial Complex☆124Updated this week
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆106Updated 5 years ago
- Repo to accompany paper "Implicit Self-Regularization in Deep Neural Networks..."☆47Updated 6 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 6 years ago
- Deprecated repository for "Deep Learning with Topological Signatures"☆36Updated 5 years ago
- GyroSPD: Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices☆18Updated 4 years ago
- ☆37Updated 5 years ago
- PyTorch re-implementation of parts of "Deep Sets" (NIPS 2017)☆73Updated 7 years ago
- Implementation of the PersLay layer for persistence diagrams☆84Updated 2 years ago
- Convolutional Neural Tangent Kernel☆112Updated 6 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 6 years ago
- The essence of my research, distilled for reusability. Enjoy 🥃!☆71Updated last year
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆105Updated 5 years ago
- a deep recurrent model for exchangeable data☆34Updated 5 years ago
- Papers on Topology + Learning.☆14Updated 5 years ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆54Updated 3 years ago
- Code for the intrinsic dimensionality estimate of data representations☆86Updated 5 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆58Updated 4 years ago
- Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.☆152Updated 3 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆122Updated 2 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆37Updated 5 years ago
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆53Updated 3 years ago
- This repository contains code for applying Riemannian geometry in machine learning.☆78Updated 4 years ago
- Implementation of the Functional Neural Process models☆42Updated 5 years ago
- code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".☆129Updated 2 years ago