Code and models for the HESS paper on mass conservation and extrapolation with deep learning
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
This repository contains the exercises and its solution contained in the book An Introduction to Statistical Learning in python.
Accompanying code for our HESS paper "Towards learning universal, regional, and local hydrological behaviors via machine learning applied to large-sample datasets"
Python library to train neural networks with a strong focus on hydrological applications.
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
