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xinming365's Projects

4ph-learning icon 4ph-learning

The thermal transport process, especially the 4ph scattering process

alamode icon alamode

Ab initio simulator for thermal transport and lattice anharmonicity

anncm icon anncm

MAGMISS软件下ANNCM模块源代码

db icon db

A PyToch implementation of "Real-time Scene Text Detection with Differentiable Binarization".

dft-learning icon dft-learning

Notes on valuable and unfamiliar knowledge and codes for exercise in the process of learning DFT.

helloworld icon helloworld

my first project in order to learn how to create a repository.

lab-website icon lab-website

These are codes of the website of Jun Ni's computational physics Laboratory

learn_dl icon learn_dl

Deep learning algorithms source code for beginners

maml icon maml

Python for Materials Machine Learning, Materials Descriptors, Machine Learning Force Fields, Deep Learning, etc.

megnet icon megnet

Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals

noise2noise icon noise2noise

Noise2Noise: Learning Image Restoration without Clean Data - Official TensorFlow implementation of the ICML 2018 paper

postprocessing-for-alamode icon postprocessing-for-alamode

Postprocess the phonon spectra, phonon dos, atomic participation rate, mean square displacement, scattering rate, and energy cumulative and differential lattice thermal conductivity.

qlib-dev icon qlib-dev

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.

stat-learning icon stat-learning

Notes and exercise attempts for "An Introduction to Statistical Learning"

ultra-low-kappa icon ultra-low-kappa

Ultra-Low-Kappa: Identification of Crystalline Materials with Ultra-Low Thermal Conductivity Based on Machine Learning Study

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