nickk124 / differentialgeometry-cheatsheet
An easy-to-use, quick and "to the point" cheat sheet of the important definitions and theorems found within differential geometry, for use in applications such as general relativity, information geometry, etc.
☆10Updated 4 years ago
Alternatives and similar repositories for differentialgeometry-cheatsheet:
Users that are interested in differentialgeometry-cheatsheet are comparing it to the libraries listed below
- Discrete Exterior Calculus☆13Updated 10 years ago
- Orthogonal polynomials in all shapes and sizes.☆185Updated last year
- Synthetic data sets apt for Topological Data Analysis☆36Updated this week
- Dimensionality Reduction with Eilenberg-MacLane Coordinates☆41Updated 6 months ago
- andi_datasets provides functions to generate, save, load and manipulate datasets of diffusion anomalous trajectories. It is part of the A…☆29Updated 3 months ago
- Evaluate and transform D matrices, 3-j symbols, and (scalar or spin-weighted) spherical harmonics☆47Updated this week
- A curated list of reading material and lecture notes for all things geometry. Mostly focussed on differential and Riemannian geometry wit…☆18Updated 7 years ago
- Continuous normalizing flow for lattice quantum field theory☆11Updated 7 months ago
- Plot complex functions☆159Updated last year
- Methods of numerical modelling with undergraduate level computational physics solutions with non-linear equations, gaussian probabilities…☆16Updated 5 years ago
- A set of jupyter notebooks for the practice of TDA with the python Gudhi library together with popular machine learning and data sciences…☆29Updated 2 months ago
- Custom filtration constructors for Python☆22Updated last week
- Distances and representations of persistence diagrams☆127Updated 2 weeks ago
- Pedagogical Jupyter notebooks for topological data analysis. Topics include basic shapes, sliding window audio/video, lower star filtrat…☆92Updated 5 years ago
- Solving stochastic differential equations and Kolmogorov equations by means of deep learning and Multilevel Monte Carlo simulation☆12Updated 3 years ago
- Digital image analysis using discrete Morse theory and persistent homology☆27Updated 9 months ago
- Machine learning Calabi-Yau metrics☆22Updated last week
- Simulate Anderson localization and tight binding on graphs.☆14Updated last year
- Official Implementation of Neural Boltzmann Machines☆23Updated last year
- PyDEC: A Python Library for Discretizations of Exterior Calculus for simplicial complexes of any dimension embedded or not and for cubica…☆86Updated 9 months ago
- Notebooks for "A high bias low-variance introduction to Machine Learning for physicists."☆69Updated 5 years ago
- A library for computing with Abelian functions, Riemann surfaces, and algebraic curves.☆26Updated this week
- PyGL: statistical field theory in Python. github.com/rajeshrinet/pygl☆27Updated last year
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆25Updated 3 years ago
- ☆44Updated 2 years ago
- Code for the Topological Data Analysis chapter of Data Science for Mathematicians☆20Updated 5 years ago
- A HOSVD implement in pytorch