Pinned Repositories
1806
18.06 course at MIT
18330
18.330 Introduction to Numerical Analysis
18335
18.335 - Introduction to Numerical Methods course
18337
18.337 - Parallel Computing and Scientific Machine Learning
18S096
18.S096 three-week course at MIT
18S096SciML
18.S096 - Applications of Scientific Machine Learning
6S083
Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic
computational-thinking
Course 18.S191 at MIT, Fall 2022 - Introduction to computational thinking with Julia
julia-mit
Tutorials and information on the Julia language for MIT numerical-computation courses.
matrixcalc
MIT IAP short course: Matrix Calculus for Machine Learning and Beyond
MITMath's Repositories
mitmath/6S083
Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic
mitmath/18S096SciML
18.S096 - Applications of Scientific Machine Learning
mitmath/18S096
18.S096 three-week course at MIT
mitmath/18337
18.337 - Parallel Computing and Scientific Machine Learning
mitmath/18.0002
mitmath/18337sp2023-amin_heyrani_nobari-18337-Linakge-Project
Code for 18337 project by Amin Heyrani Nobari
mitmath/18337sp2023-andreas_p__mentze-SciML-Project-18.337-Spring-2023-MIT
mitmath/18337sp2023-axel_feldmann-hss-gpu
mitmath/18337sp2023-devang_sehgal__anurag_vaidya-shapley_julia
Implement Shapley values for Global Sensitivity Analysis in Julia
mitmath/18337sp2023-difei_zhang-ParallelWolff
mitmath/18337sp2023-eric_m__stewart-pinnsforsolids
Physics-informed Neural Networks for solving example continuum mechanics problems, for MIT class 18.337.
mitmath/18337sp2023-hao-wei_pang-ReactionMechanismSimulator.jl
The amazing Reaction Mechanism Simulator for simulating large chemical kinetic mechanisms
mitmath/18337sp2023-harvey_merton-18.337_project
mitmath/18337sp2023-jackson_warner_burns-xtb-ts-screener
Screening 'likely-to-converge' Transition States partially optimized by XTB
mitmath/18337sp2023-kota_kondo-18337
mitmath/18337sp2023-luca_weishaupt__andrew_zhang-nbody-rl-public
Code repository for the paper "Physics-informed deep Q-learning for n-body simulations"
mitmath/18337sp2023-nicholas_klugman-NeuralLyapunov.jl
A library for searching for neural Lyapunov functions in Julia.
mitmath/18337sp2023-oliver_xie-project
mitmath/18337sp2023-raymond_lin-parallel-sdf
Parallel signed distance field (SDF) computation in Julia.
mitmath/18337sp2023-sydney_jenkins-Julia_Project
mitmath/18337sp2023-ulrik_unneberg__henrik_tidemann_kaarbo-18.337-Project-LNN
Temporary template structure for development and structuring of the term project in 18.337
mitmath/18337sp2023-utkarsh__prakitr_srisuma-DiffEqGPU.jl
GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
mitmath/18337sp2023-yassine_el_janati__georgios_efstathiadis-SDE-PINN-Solver
Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Stochastic Differential Equations for Scientific Machine Learning (SciML) accelerated simulation