aximthered Goto Github PK

applied-ai-course

applied_ai_course_notes

Applied Artificial intelligence Course from Online course Notes

appliedaicourse-assignmentandnotes

This repo contains the Applied Ai Course Assignments and Notes.

basic_simulation_training

A document for the Living Journal of Computational Molecular Science (LiveCoMS) which describes basic training for molecular simulations (oriented towards molecular dynamics (MD)), providing some training itself and linking out to other helpful information elsewhere. The intent is that this provide information on the prerequisites which will be required for understanding/following many of the other "best practices" documents being prepared.

basicopenfoamprogrammingtutorials

Introduces basic C++ concepts to beginner users of the OpenFOAM open-source CFD libraries.

bcs_workshop_apr_20

competitive-data-science-1

How to Win a Data Science Competition: Learn from Top Kagglers

cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

data-science--cheat-sheet

Cheat Sheets

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deepmd-kit

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

dlaicourse

Notebooks for learning deep learning

genice

A swiss army knife to generate proton-disordered ice structures for GROMACS.

ineuron.ai

proejects done at ineuron.ai

interview-question-data-science-

lammps

Public development project of the LAMMPS MD software package

lammps-user-conp2

updated constant potential plugin for LAMMPS

latex-templates

Graduate School LaTeX templates for Lab rotation proposal + report, OIST beamer and Thesis + thesis proposal

machine-learning-masters

This repository consists content, assignments, assignments solution and study material provided by ineoron ML masters course

math51

Collection of my assignments and work in the class MATH51 at Stanford

ml-in-chemistry-101

The course materials for "Machine Learning in Chemistry 101"

ml4md-jb

Jupyter book and content for "Machine Learning for Molecular Dynamics" course

neural-xc-potential

openpathsampling

An open source Python framework for transition interface and path sampling calculations.

seams-core

The d-SEAMS C++ core engine

su.github.io

website

wind-farm-layout-optimization

Hybrid Genetic Algorithm and Simulated Annealing implementation to search for the global optimum configuration and thereby to maximize the Annual Energy Production (AEP).