Albert2020-05
I'm an Environmental Engineering grad student at Zhejiang University, passionate about AI's applications in solving environmental challenges.
Hangzhou City, Zhejiang Province, China.
Pinned Repositories
Diabets_Forecast
天池糖尿病预测
Multivariate-multi-step-time-series-forecasting-via-LSTM
多元多步时间序列的LSTM模型预测
pid
Conformal prediction for time-series applications.
PINN
Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles
PlotThread
This project provides an authoring tool for designing expressive storyline visualizations.
tensorflow_practice
tensorflow实战练习，包括强化学习、推荐系统、nlp等
tutorials
CatBoost tutorials repository
Water_Quality_Index
This project is centred around a detailed examination of the water quality in two significant rivers, namely River Yamuna and River Indrayani. It commenced by assimilating and meticulously preprocessing two distinct datasets.
PyPOTS
A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation/classification/clustering/forecasting/anomaly detection/cleaning on incomplete industrial (irregularly-sampled) multivariate TS with NaN missing values
Albert2020-05's Repositories
Albert2020-05/Diabets_Forecast
天池糖尿病预测
Albert2020-05/Multivariate-multi-step-time-series-forecasting-via-LSTM
多元多步时间序列的LSTM模型预测
Albert2020-05/pid
Conformal prediction for time-series applications.
Albert2020-05/PINN
Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles
Albert2020-05/PlotThread
This project provides an authoring tool for designing expressive storyline visualizations.
Albert2020-05/tensorflow_practice
tensorflow实战练习，包括强化学习、推荐系统、nlp等
Albert2020-05/tutorials
CatBoost tutorials repository
Albert2020-05/Water_Quality_Index
This project is centred around a detailed examination of the water quality in two significant rivers, namely River Yamuna and River Indrayani. It commenced by assimilating and meticulously preprocessing two distinct datasets.