BorgwardtLab / Neural-Persistence
Code for the paper 'Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology'
β31Updated 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
- The essence of my research, distilled for reusability. Enjoy π₯!β65Updated 8 months ago
- β32Updated 4 years ago
- My persistent homology related code.β26Updated 5 years ago
- This code accompanies the paper "Persistence Images: A Stable Vector Representation of Persistent Homology".β43Updated 4 years ago
- Deprecated repository for "Deep Learning with Topological Signatures"β36Updated 5 years ago
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021β52Updated 2 years ago
- Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.β145Updated 3 years ago
- β38Updated 4 years ago
- Implementation of the PersLay layer for persistence diagramsβ80Updated last year
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"β71Updated 8 years ago
- β53Updated 9 months ago
- Mapper Interactive is a customizable visualization framework for the analysis and visualization of high-dimensional point cloud data usinβ¦β21Updated last year
- Code for the intrinsic dimensionality estimate of data representationsβ80Updated 5 years ago
- Automatically exported from code.google.com/p/diphaβ66Updated 7 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paperβ36Updated 4 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cubeβ47Updated 5 years ago
- MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.β55Updated 6 years ago
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021β49Updated 2 years ago
- Experiments for Meta-Learning Symmetries by Reparameterizationβ56Updated 4 years ago
- PyTorch re-implementation of parts of "Deep Sets" (NIPS 2017)β69Updated 6 years ago
- Riemannian Convex Potential Mapsβ67Updated 2 years ago
- The codebase for the paper "A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks"β25Updated 5 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"β57Updated 3 years ago
- Notebooks for IPAM Tutorial, March 15 2019β24Updated 6 years ago
- β44Updated 2 years ago
- Geometric Certifications of Neural Netsβ41Updated 2 years ago
- Topological Data Analysis in Python: Simplicial Complexβ121Updated this week
- β36Updated 3 years ago
- Courses and practical sessions for the Optimal Transport and Machine learning course at Statlearn 2018β26Updated 7 years ago
- Repo to accompany paper "Implicit Self-Regularization in Deep Neural Networks..."β43Updated 6 years ago