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18s191

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

ai-feynman

symbolic regression in matsci (Sci Adv ppr)

ase

Atomic Simulation Environment - unofficial mirror from https://gitlab.com/ase/ase

bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

beamcui

A GUI for the force calculation of the beam in different boundary conditions

biofilm-simulation

2D biofilm simulation based on the implementation outlined in Introduction to Computational Science by Angela and George Shiflet.

blogbackup

博客备份

bo-cofs

Python code for the paper Bayesian Optimization of Nanoporous Materials. (By WSU & OSU, 2021, MSDE, using simulation data from CoM)

boiling-flow

bubblenet

A physics-informed deep learning architecture for inferring bubble dynamics

cfdpython

A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

cgcf-confgen

:test_tube: Learning Neural Generative Dynamics for Molecular Conformation Generation (ICLR 2021)

combo

COMmon Bayesian Optimization

cornellcswiki

Student-run wiki for students interested in computer science at Cornell University

cs5777

Principles of Large Scale Machine Learning

cu-bens

CU-BEN serial version: geometric and material nonlinear static and transient dynamic structural analysis/ linear acoustic fluid structure interaction

darpa-fft

Time-series prediction model for the DARPA FFT Challenge

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deepcfd

DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks

deeplagrangianfluids

Code repository for "Lagrangian Fluid Simulation with Continuous Convolutions", ICLR 2020.

deepmd-graphene

Training a potential field of graphene based on DFT data from Quantum ESPRESSO using Deep Potential method.

deepmd-kit

A deep learning package for many-body potential energy representation and molecular dynamics

deeponet

Learning nonlinear operators via DeepONet

deeponet-fno

DeepONet & FNO (with practical extensions)

deeponets

deepritz

Implementation of the Deep Ritz method and the Deep Galerkin method

deepxde

Deep learning library for solving differential equations and more

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

differentialequations.jl

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components