MITMath's repositories
computational-thinking
Course 18.S191 at MIT, Fall 2022 - Introduction to computational thinking with Julia
matrixcalc
MIT IAP short course: Matrix Calculus for Machine Learning and Beyond
JuliaComputation
Repository for Common Ground C25
binder-env
Binder environments for MIT math courses
18337projects
List of Student Projects for 18.337j
18337sp2023-alexander_mercier-ExtendRandomVariables.jl
Julia package to extend RandomVariables.jl
18337sp2023-dariyan_khan-PotentialLearning-2.jl
An open source Julia library for active learning of interatomic potentials in atomistic simulations of materials. It incorporates elements of bayesian inference, machine learning, differentiable programming, software composability, and high-performance computing.
18337sp2023-minsik_cho-PotentialLearning.jl
An open source Julia library for active learning of interatomic potentials in atomistic simulations of materials. It incorporates elements of bayesian inference, machine learning, differentiable programming, software composability, and high-performance computing.
18337sp2023-nathan_stover__krystian_ganko-18.337-Project-SP2023
Project for Parallel Computing and Scientific Machine Learning course, Spring 2023.
18337sp2023-riley_martell-mit_18337_SubpixelRegistration
Julia code for MIT 18.337 course's final project.
18337sp2023-samuel_degnan-morgenstern-CahnHilliardSBM.jl
Fast Cahn Hilliard simulations in Custom Geometries using the Smoothed Boundary Method
18337sp2023-zeyad_al_awwad-Julia-Ray-Tracing
My final project for MIT course 18.337 (Parallel Computing and Scientific Machine Learning)