Pinned Repositories
bigdata-learning
大数据学习记录
cgcnn
Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
discovery_precision
Code for paper：Model efficiency: a new metric for evaluating explorative power of machine learning model for materials discovery
DrawFigureForPaper
Some python scripts for drawing figures in scientific papers
Fatigue-life-prediction-of-aluminum-alloy
flask
fluent_python
gitskills
hyperparameter-optimization
Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms
1098994933's Repositories
1098994933/Fatigue-life-prediction-of-aluminum-alloy
1098994933/hyperparameter-optimization
Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms
1098994933/Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
1098994933/discovery_precision
Code for paper：Model efficiency: a new metric for evaluating explorative power of machine learning model for materials discovery
1098994933/bigdata-learning
大数据学习记录
1098994933/cgcnn
1098994933/DrawFigureForPaper
Some python scripts for drawing figures in scientific papers
1098994933/flask
1098994933/fluent_python
1098994933/gitskills
1098994933/helloflask
《Flask Web 开发实战》Meta 仓库
1098994933/kmFCV
K-fold-m-step forward cross-validation is a new approach of evaluating extrapolation performance in materials property prediction.
1098994933/learngit
used learn git
1098994933/LGCN
Source code for WWW 2021 paper "Lorentzian Graph Convolutional Networks"
1098994933/MatDeepLearn
MatDeepLearn, package for graph neural networks in materials chemistry
1098994933/megnet
Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals
1098994933/ML-React-App-Template
This is a template for creating a Machine Learning application with its front-end developed using React which interacts with a Flask service as the back-end and makes predictions.
1098994933/mof_pred
1098994933/mt-cgcnn
NeurIPS 2018 MLMM Workshop: Integrating Crystal Graph Convolutional Neural Network with Multitask Learning for Material Property Prediction
1098994933/python
1098994933/PythonDataScienceHandbook
1098994933/rdd2020
1098994933/used-book-pro
微信小程序云开发校园二手书商城，可在线支付提现，源码全开源
1098994933/util