SciML / SciMLBookLinks
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
☆1,960Updated 3 months ago
Alternatives and similar repositories for SciMLBook
Users that are interested in SciMLBook are comparing it to the libraries listed below
Sorting:
- Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.☆738Updated 3 weeks ago
- Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learnin…☆906Updated last week
- Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary …☆3,042Updated 3 weeks ago
- 18.335 - Introduction to Numerical Methods course☆564Updated last week
- 18.S096 - Applications of Scientific Machine Learning☆312Updated 3 years ago
- Tutorials and information on the Julia language for MIT numerical-computation courses.☆796Updated 10 months ago
- Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated s…☆1,146Updated last week
- 18.337 - Parallel Computing and Scientific Machine Learning☆246Updated 2 years ago
- MIT IAP short course: Matrix Calculus for Machine Learning and Beyond☆557Updated last week
- Bayesian inference with probabilistic programming.☆2,191Updated last week
- An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for …☆1,585Updated this week
- Please do not feed the models☆933Updated last year
- 18.330 Introduction to Numerical Analysis☆382Updated last year
- Award winning software library for nonlinear dynamics and nonlinear timeseries analysis☆909Updated 3 weeks ago
- Distributed High-Performance Symbolic Regression in Julia☆751Updated last week
- 21st century AD☆1,552Updated last month
- Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic☆510Updated 2 years ago
- A Julia machine learning framework☆1,884Updated last month
- Concise and beautiful algorithms written in Julia☆1,414Updated 9 months ago
- ☆1,096Updated 2 years ago
- CUDA programming in Julia.☆1,362Updated last week
- Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization☆586Updated 2 months ago
- High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differ…☆617Updated this week
- Course 18.S191 at MIT, Fall 2022 - Introduction to computational thinking with Julia☆2,764Updated last week
- Forward Mode Automatic Differentiation for Julia☆970Updated last week
- Learn Julia via interactive tutorials!☆1,342Updated last year
- Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonl…☆810Updated this week
- Grid-based approximation of partial differential equations in Julia☆831Updated last week
- Elegant and Performant Deep Learning☆660Updated last week
- Symbolic programming for the next generation of numerical software☆1,480Updated this week