xinming365

4ph-learning

The thermal transport process, especially the 4ph scattering process

aflow

alamode

Ab initio simulator for thermal transport and lattice anharmonicity

ANNCM

MAGMISS软件下ANNCM模块源代码

ATCNN

ATCNN models

baiduyun_deeplearning_competition

百度云魅族深度学习应用大赛

ECNet

Lab-website

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

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.

Ultra-Low-Kappa

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

xinming365/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.

xinming365/Ultra-Low-Kappa

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

xinming365/ECNet

xinming365/4ph-learning

The thermal transport process, especially the 4ph scattering process

xinming365/ANNCM

MAGMISS软件下ANNCM模块源代码

xinming365/aflow

xinming365/alamode

Ab initio simulator for thermal transport and lattice anharmonicity

xinming365/ATCNN

ATCNN models

xinming365/baiduyun_deeplearning_competition

百度云魅族深度学习应用大赛

xinming365/Lab-website

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

xinming365/DB

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

xinming365/DFT-EXERCISES

DENSITY FUNCTIONAL THEORY EXERCISES

xinming365/DFT-learning

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

xinming365/DL-exercise

xinming365/kkndme_tianya

天涯 kkndme 神贴聊房价

xinming365/learn_dl

Deep learning algorithms source code for beginners

xinming365/LeetCode

answers for the leetcode tests.

xinming365/machine-learning-for-trading

Code for Machine Learning for Algorithmic Trading, 2nd edition.

xinming365/maml

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

xinming365/Material-Studio

xinming365/megnet

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

xinming365/Natural_Language_Processing_with_Transformers

Natural Language Processing with Transformers 中译本，最权威Transformers教程

xinming365/noise2noise

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

xinming365/ocr_tools

ocr tools for invoice

xinming365/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.

xinming365/quantitative-trading-exercise

xinming365/sei-bet

stake and bet functionality .

xinming365/stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

xinming365/stat-learning

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

xinming365/The-Connection-in-Group

The essential information of the connections to the computing resources