ImperialCollegeLondon / RCDS-data-processing-with-pythonLinks
Imperial College London / Graduate School / Data Science / Data Processing with Python Pandas
☆22Updated 7 months ago
Alternatives and similar repositories for RCDS-data-processing-with-python
Users that are interested in RCDS-data-processing-with-python are comparing it to the libraries listed below
Sorting:
- ☆19Updated 4 months ago
- ☆12Updated 3 months ago
- ☆32Updated 3 weeks ago
- Course material for Cornell CS 6241, Spring 21☆10Updated 4 years ago
- Material for the book Algorithmic Mathematics in Machine Learning☆11Updated 8 months ago
- Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"☆30Updated last year
- ☆21Updated 4 years ago
- ☆8Updated 4 years ago
- Stochastic Physics-Informed Neural Ordinary Differential Equations☆17Updated 2 years ago
- heat equation in tensorflow☆9Updated 8 years ago
- ☆11Updated 8 years ago
- ☆9Updated 2 years ago
- combination of sparse identification of nonlinear dynamics with Akaike information criteria☆16Updated 7 years ago
- physics-guided neural networks (phygnn)☆93Updated 3 weeks ago
- Transition Indicators / Early Warning Signals / Regime Shifts / Change Point Detection☆21Updated last month
- ☆48Updated last month
- Matlab Toolbox for the Numerical Solution of Stochastic Differential Equations☆101Updated 4 years ago
- Repository for the Universal Differential Equations for Scientific Machine Learning paper, describing a computational basis for high perf…☆225Updated 2 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- ☆12Updated 2 years ago
- Randomized Greedy Polynomial Chaos Expansions☆11Updated 6 years ago
- Efficient, Accurate, and Streamlined Training of Physics-Informed Neural Networks☆56Updated 3 months ago
- Notes and course material for MATH50003 Numerical Analysis (2021–2022)☆49Updated last year
- Solving stochastic differential equations and Kolmogorov equations by means of deep learning and Multilevel Monte Carlo simulation☆12Updated 3 years ago
- Code accompanying the paper 'Manifold MCMC methods for Bayesian inference in a wide class of diffusion models'☆10Updated 3 weeks ago
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆75Updated 2 years ago
- Optimizing neural networks via an inverse scale space flow.☆16Updated last year
- Getting started with scikit-learn for machine learning☆31Updated 6 months ago
- Animation of the motion a double-pendulum. Both Julia and Python versions of the code are given.☆39Updated 4 years ago
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆25Updated 3 years ago