mitmath / 18S096SciMLLinks
18.S096 - Applications of Scientific Machine Learning
☆311Updated 3 years ago
Alternatives and similar repositories for 18S096SciML
Users that are interested in 18S096SciML are comparing it to the libraries listed below
Sorting:
- 18.303 - Linear PDEs course☆145Updated last year
- Repository for the Universal Differential Equations for Scientific Machine Learning paper, describing a computational basis for high perf…☆229Updated 2 years ago
- 18.336 - Fast Methods for Partial Differential and Integral Equations☆185Updated last year
- 18.335 - Introduction to Numerical Methods course☆548Updated 3 months ago
- Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization☆418Updated 2 weeks ago
- Nonlinear Dynamics: A concise introduction interlaced with code☆246Updated last month
- Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem☆306Updated last week
- Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax),…☆329Updated this week
- Surrogate modeling and optimization for scientific machine learning (SciML)☆350Updated last week
- Julia code for the book Numerical Linear Algebra☆127Updated 2 years ago
- 18.337 - Parallel Computing and Scientific Machine Learning☆243Updated 2 years ago
- Extra materials for *Fundamentals of Numerical Computation* by Driscoll and Braun.☆168Updated last week
- Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.☆734Updated 2 weeks ago
- ☆102Updated 2 months ago
- GPU Programming with Julia - course at the Swiss National Supercomputing Centre (CSCS), ETH Zurich☆254Updated 3 years ago
- ☆67Updated 6 years ago
- A Julia package for Gaussian Processes☆312Updated 6 months ago
- Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem☆297Updated last week
- Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization☆575Updated 7 months ago
- Julia Jupyter/Colab Notebooks☆164Updated 2 years ago
- Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing☆129Updated last week
- Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learnin…☆892Updated last week
- A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, …☆359Updated this week
- Documentation and tutorials for the Turing language☆236Updated this week
- Reservoir computing utilities for scientific machine learning (SciML)☆215Updated this week
- Linear operators for discretizations of differential equations and scientific machine learning (SciML)☆283Updated 2 years ago
- Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms☆303Updated last week
- 18.S096 three-week course at MIT☆265Updated 2 years ago
- Tools for building fast, hackable, pseudospectral partial differential equation solvers on periodic domains☆211Updated 2 weeks ago
- A short course on Julia and open-source software development☆316Updated 2 years ago