yoninazarathy / MATH7501-2021
Extra materials for Mathematics for Data Science 1: https://courses.smp.uq.edu.au/MATH7501/2021/
☆17Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for MATH7501-2021
- Notes and course material for MATH50003 Numerical Analysis (2021–2022)☆50Updated 8 months ago
- Programming of Simulation, Analysis, and Learning Systems Course Materials☆34Updated last month
- Lecture notes for M3M6 Methods of Mathematical Physics☆39Updated 4 years ago
- Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.☆20Updated 9 months ago
- No need to train, he's a smooth operator☆43Updated this week
- Turing.jl port of the book "Regression and Other Stories" by Andrew Gelman, Jennifer Hill, and Aki Vehtari☆19Updated 2 years ago
- Efficient, Accurate, and Streamlined Training of Physics-Informed Neural Networks☆55Updated 2 weeks ago
- Math 228A 2019 Fall☆16Updated 4 years ago
- Lecture slides and homework assignments for MA5233 Computational Mathematics at the National University of Singapore.☆38Updated 3 years ago
- A Julia package for the computation of hard, theoretically guaranteed bounds on the moments of jump-diffusion processes with polynomial d…☆15Updated 11 months ago
- Implicit Runge-Kutta Gauss-Legendre 16th order (Julia)☆23Updated 2 weeks ago
- Lecture slides and homework assignments for MA3227 Numerical Analysis II at the National University of Singapore.☆24Updated 3 years ago
- This repo is for all my new (2020+) Julia content.☆9Updated 2 years ago
- Course material for Cornell CS 6210 for Fall 2019☆25Updated 4 years ago
- Two-day introduction course to Julia programming language☆18Updated last year
- Lecture notes and course material for M3M6 Applied Complex Analysis at Imperial College☆36Updated 4 years ago
- ☆13Updated 3 years ago
- Visualize neural networks using TikZ in Julia☆12Updated 2 years ago
- Training materials for ModelingToolkit and JuliaSim☆38Updated 2 years ago
- Optimization framework for nonlinear, gradient-based constrained, sparse optimization problems.☆26Updated 5 months ago
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆24Updated 2 years ago
- JuliaCon 2024 Dagger Workshop materials☆16Updated 3 months ago
- ☆36Updated 3 years ago
- High-level model-order reduction to automate the acceleration of large-scale simulations☆38Updated this week
- Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing☆119Updated this week
- Physics-Enhanced Regression for Initial Value Problems☆19Updated 9 months ago
- SciML-Bench Benchmarks for Scientific Machine Learning (SciML), Physics-Informed Machine Learning (PIML), and Scientific AI Performance☆18Updated this week
- High speed Geometric Multigrid in pure Julia☆18Updated 2 years ago
- Automates adjoints. Forward and reverse mode algorithmic differentiation around implicit functions (not propagating AD through), as well …☆25Updated 5 months ago