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 7 months ago
- Sheaves library for graph abstractions based on NetworkX☆15Updated 6 years ago
- Learning Algebraic Varieties from Samples☆24Updated last year
- ☆15Updated 6 years ago
- ☆44Updated 2 years ago
- Julia package for learning cellular sheaf Laplacians☆16Updated 4 years ago
- Implementation and computational examples of [Approximate and discrete Euclidean vector bundles. Scoccola, Perea].☆9Updated 2 years 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
- Dive into Jax, Flax, XLA and C++☆31Updated 5 years ago
- Python code for the post "Computing Homology"☆29Updated 2 years ago
- Implementation of approximate free-energy minimization in PyTorch☆19Updated 3 years ago
- lecture materials of the ML for Physics course 2021 in Perimeter Institute☆21Updated 4 years ago
- many powerful tools for studying irreducible representations of SU(n), including making animations of hadron flavor-state multiplets☆12Updated 3 years ago
- A Python package for efficient optimisation of real-space renormalization group transformations using Tensorflow.☆29Updated 3 months ago
- ☆28Updated 3 years ago
- Jax-based MaxEnt☆18Updated 5 years ago
- Leveraging AlgebraicJulia to provide an interface for scientists to explore spaces of models.☆12Updated last year
- GATlab: a computer algebra system based on generalized algebraic theories (GATs)☆27Updated 2 weeks ago
- A series of simulation codes used to emulate quantum-like networks in the simulation of emergent adaptive behavior, such as network sync…☆13Updated 2 weeks ago
- Synthetic data sets apt for Topological Data Analysis☆36Updated 2 months ago
- Generic API for dispatch to Pyro backends.☆16Updated 3 years ago
- Probabilistic Circuits from the Juice library☆106Updated 11 months ago
- Simplicial topology in Python☆37Updated last month
- A library for computing with Abelian functions, Riemann surfaces, and algebraic curves.☆28Updated last week
- numerical solution of the Chapman-Kolmogorov equation / Fokker-Planck equation☆9Updated 3 years ago
- Automatic Differentiation via Contour Integration☆52Updated 2 years ago
- Kernels, the machine learning ones☆14Updated 2 years ago
- Learning platform for category theory in python☆16Updated this week
- Prototypes of differentiable differential equation solvers in JAX.☆27Updated 5 years ago
- These are handwritten solutions of almost all exercises in "Gauge Fields, Knots and Gravity" by John Baez & Javier P. Muniain.☆15Updated 4 years ago