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18.338-eigenvalues-of-random-matrices

18335

18.335 - Introduction to Numerical Methods course

18336

18.336 - Fast Methods for Partial Differential and Integral Equations

18337

18.337 - Parallel Computing and Scientific Machine Learning

18s096sciml

18.S096 - Applications of Scientific Machine Learning

18s191

Course 18.S191 at MIT, Spring 2021 - Introduction to computational thinking with Julia:

awesome-ai-residency

List of AI Residency Programs

blackboxoptim.jl

Black-box optimization for Julia

c--mcp_user_defined_functions

User-defined-functions in C for the Multidisciplinary Capstone course.

danyalrehman.github.io

data-science-cheatsheet

datadrivendiffeq.jl

Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization

dedales

Large Eddy Simulation with dedalus

dedalus

A flexible framework for solving PDEs with modern spectral methods.

dft-book

A book on modeling materials using VASP, ase and jasp

diffeqdocs.jl

Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem

diffeqflux.jl

Universal neural differential equations with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods

e3_diffusion_for_molecules

e3nn-jax

jax library for E3 Equivariant Neural Networks

fastgaussquadrature.jl

Julia package for Gaussian quadrature

fourier_neural_operator

Use Fourier transform to learn operators in differential equations.

generative_antibiotic_discovery

greenlearning

Learning Green's functions of partial differential equations with deep learning.

java-compiler

Java Compiler, with functional lexical analyzer and an extended parser; preliminary error and exception handling

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

julia-mit

Tutorials and information on the Julia language for MIT numerical-computation courses.

krylov.jl

A Julia Basket of Hand-Picked Krylov Methods

lux.jl

Explicitly Parameterized Neural Networks in Julia

machine-learning-interview-questions

This repository is to prepare for Machine Learning interviews.

manopt.jl

🏔️Manopt. jl – Optimization on Manifolds in Julia