mhajij / Algebraically_Informed_Deep_NetsLinks
AIDN is a deep learning algorithm to represent any finitely-presented algebraic object with a set of deep neural networks.
☆8Updated 4 years ago
Alternatives and similar repositories for Algebraically_Informed_Deep_Nets
Users that are interested in Algebraically_Informed_Deep_Nets are comparing it to the libraries listed below
Sorting:
- A Python module for (local) Poisson-Nijenhuis calculus on Poisson manifolds☆13Updated 8 months ago
- Learning Algebraic Varieties from Samples☆24Updated last year
- Implementation and computational examples of [Approximate and discrete Euclidean vector bundles. Scoccola, Perea].☆9Updated 2 years ago
- ☆44Updated 2 years ago
- Julia package for learning cellular sheaf Laplacians☆16Updated 4 years ago
- Synthetic data sets apt for Topological Data Analysis☆36Updated 2 months ago
- Sheaves library for graph abstractions based on NetworkX☆15Updated 6 years ago
- Simplicial topology in Python☆37Updated 2 months ago
- This tutorial accompanies the NSF-CBMS Conference and Software Day on Topological Methods in Machine Learning and Artificial Intelligence…☆19Updated 6 years ago
- many powerful tools for studying irreducible representations of SU(n), including making animations of hadron flavor-state multiplets☆12Updated 3 years ago
- Custom filtration constructors for Python☆24Updated 3 months ago
- Julia library providing functionality for modeling Simplicial Complexes and Cochains over them. Its main feature is a clean interface to …☆18Updated 4 months ago
- ☆14Updated 6 years ago
- Bayesian inference for a logistic regression model in various languages☆42Updated last year
- numerical solution of the Chapman-Kolmogorov equation / Fokker-Planck equation☆9Updated 3 years ago
- Super-Paramagnetic Clustering, Maximum entropy, Maximum Likelihood Methods.☆11Updated 3 years ago
- Implementation of approximate free-energy minimization in PyTorch☆19Updated 3 years ago
- Kernels, the machine learning ones☆14Updated 2 years ago
- A Python package for efficient optimisation of real-space renormalization group transformations using Tensorflow.☆32Updated 4 months ago
- Representation Learning on Topological Domains☆81Updated this week
- Pedagogical Jupyter notebooks for topological data analysis. Topics include basic shapes, sliding window audio/video, lower star filtrat…☆94Updated 5 years ago
- Pytorch implement of the paper Neural Canonical Transformation with Symplectic Flows☆29Updated 5 years ago
- Generic API for dispatch to Pyro backends.☆16Updated 3 years ago
- package for ATOL: Automatic Topologically-Oriented Learning☆24Updated 4 months ago
- The Juice package for circuits in artificial intelligence, both logic and probabilistic☆12Updated 3 years ago
- Bayesian Nonparametric Mixture Models in Julia☆14Updated 7 years ago
- density-based clustering for exploratory data analysis based on multi-parameter persistence☆39Updated this week
- Causal and probabilistic reasoning with continuous time dynamical systems☆19Updated 3 weeks ago
- TARDIS: Topological Algorithms for Robust DIscovery of Singularities☆42Updated last year
- A set of jupyter notebooks for the practice of TDA with the python Gudhi library together with popular machine learning and data sciences…☆30Updated last week