binxiao-liu's repositories
Self-boosted-Time-series-Forecasting
Pytorch implementation of "Self-boosted Time-series Forecasting with Multi-task and Multi-view Learning" https://arxiv.org/pdf/1909.08181.pdf
cnn-text-classification-tf
Convolutional Neural Network for Text Classification in Tensorflow
CNN_sentence
CNNs for sentence classification
coding-interview-university
A complete computer science study plan to become a software engineer.
Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
deeplearning_ai_books
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
ealstm_regional_modeling
Accompanying code for our HESS submission "Benchmarking a Catchment-Aware Long Short-Term Memory Network (LSTM) for Large-Scale Hydrological Modeling"
EasyShu-WeChat
微信公众号【EasyShu】博文配套文件
Excel-Chart-Plugin-EasyCharts
Excel图表插件：EasyCharts1.0
Interview-Notebook
:books: 技术面试需要掌握的基础知识整理，欢迎编辑~
lstm_for_pub
Code for our WRR paper "Toward Improved Predictions in Ungauged Basins: Exploiting the Power of Machine Learning"
Machine-learning-learning-notes
周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！
machine_learning_beginner
机器学习初学者公众号作品
nndl-codes
Sample Codes for NNDL
nndl.github.io
《神经网络与深度学习》 Neural Network and Deep Learning
NOAA-Reanalysis
NCEP/NCAR Reanalysis (ATMO 321 Final Project)
pangeo_lstm_example
Example notebook, showing how to use LSTMs for rainfall-runoff modeling
pumpkin-book
《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book
pytorch_classification
利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码
The-Art-Of-Programming-By-July
本项目曾冲到全球第一，干货集锦见本页面最底部，另完整精致的纸质版《编程之法：面试和算法心得》已在京东/当当上销售
transferlearning
Everything about Transfer Learning and Domain Adaptation--迁移学习
UAVProduct
处理无人机影像的代码，使用了OpenMVG，openMVS以及GDAL库等，实现影像几何校正，影像拼接，点云生成等功能
VIC-ASSIST
Variable Infiltration Capacity Automated Setup Toolkit