刘海's repositories
temperatureForecasting
Temperature Forecasting source code for publication in MAKE (MDPI)
R-graph-gallery
A website that displays hundreds of R charts with their code
An-Introduction-to-Statistical-Learning
This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
Beautiful-Visualization-with-python
python数据可视化之美
hoomd-blue
Molecular dynamics and Monte Carlo soft matter simulation on GPUs.
pywr
Pywr is a generalised network resource allocation model written in Python.
pyemu
python modules for model-independent uncertainty analyses, data-worth analyses, and interfacing with PEST(++)
Semantic-segmentation-methods-for-landslide-detection
Semantic-segmentation-methods-for-landslide-detection
gimli
Geophysical Inversion and Modeling Library :earth_africa:
RMWSPy
RMWSPy - A Python package for conditional random field simulation and inversion
CNN-LSTM-for-Gold-Price_Forecasting
Implemented a hybrid neural network using convolutional neural network and recurrent neural network to predict gold prices
sheng-xin-xiao-bai-yu
历史文档备份（只包含2019年和2020年）
CLM-LSTM-soil-moisture-prediction
Explored the Long-Term Soil Moisture Predictability with FLUXNET Site Data using Circulating Learning Model
DBN
Simple code tutorial for deep belief network (DBN)
KarstSeg3D
Karst segmentation in 3D seismic images
PRMS-Python
A Python package for the PRMS hydrologic model
introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
HeterogeneousEnsemble
data for IJGIS
Machine-Learning-in-Action-Python3
《机器学习实战》的python3源码
gppeval
Geothermal Power Potential
Rice_authenticity_ICP_new
this new repository is for new ICP-MS data written in python
geologicalImageClassification
TensorFlow CNN code
MeachineLearning-Case
Some case of MeachineLearning and DataMining(一些机器学习与数据挖掘的实战案例)
Deep_Learning_note
This repository provides in detail common machine learning models such as Neural Network ,SVM,Lasso,Ridge,KNN,Perception and Naive Bayes, which are derived manually using basic Python libraries such as numpy pandas and encapsulated these models by a class
ISL-python
Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
LotteryPredict
TensorFlow实战，使用LSTM预测彩票