wsxxsean Goto Github PK

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Unsupervised fingerprinting of disordered solids leading to analogical materials discovery.

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Arduino compatible Risc-V Based SOC

-ic-

数字IC相关资料

-predicting

Scripts for replicating a paper on predicting the properties of materials with machine learning

2d

Deep learning-based feature detection for GIXD data

ai-engineering

Self Learning

ann-models

Public release of data and code for materials synthesis generation

applied-ai-for-materials

Course materials for "Applied AI for Materials Science and Engineering"

back-0

A 32 bit RISCV Based SOC with QSpi , Uart and 8 bit SDRAM Controller tagetted to efebless shuttle program

cherrysprings

一生一芯RSICV多核系统实现项目

cnn

Crystal graph convolutional neural networks for predicting material properties.

computationalphysics300

computational physics class taught at UNLV (Phys300)

data-science-complete-tutorial

For extensive instructor led learning

dataanalysis

Python数据分析教程的资料

dscribe

DScribe is a python package for creating machine learning descriptors for atomistic systems.

matdeeplearn_dos

MatDeepLearn for DOS prediction

materials

R&D for the Digital Ecosystem for DoE Materials Modeling project

materialsdiscoveryml

mooc-e902

IC design and development should be faster，simpler and more reliable

nba-prediction

nba prediction based LogisticRegression by sklearn

nvboard

NJU Virtual Board

pyml

Python and Machine Learning Course

pysisso

Python interface to the SISSO (Sure Independence Screening and Sparsifying Operator) method.

pyxtal_ff

Machine Learning Interatomic Potential Predictions

pyxtal_symmetry_relation

Group-subgroup symmetry relation applied to phase transition

qspim-0-

SPI Master Optimized for RISC V Instruction memory Prefecth

query_c2db

rapid

Data-connected jupyter notebook for the RAPID paper

sissokit

Modules for cross validation, evaluation and plot of SISSO

streamlit