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airquality icon airquality

Develop model to predict PM2.5 from satellite imaging data

aod-hybrid-paper icon aod-hybrid-paper

Code and Data repository for "Hybrid learning model for spatio-temporal forecasting of PM2.5 using aerosol optical depth"

aod-vs-pm2.5-prediction-methods icon aod-vs-pm2.5-prediction-methods

A major challenge involving pollution detection is to measure the average PM2.5 concentration over major metropolitan areas. One useful method for predicting PM2.5 over a relatively wide range are AOD measurements. Ensemble algorithms are more effective than linear algorithms for prediction. Pandas and scikit-learn were used for data analysis.

aodpm25_paper icon aodpm25_paper

Replicate analyses for AOD gap-filling and PM2.5 predictions

gipmn icon gipmn

Codes for "A Structured Graph Neural Network for Improving the Numerical Weather Prediction of Rainfall"

gpt_api_free icon gpt_api_free

Free ChatGPT API Key,免费ChatGPT API,支持GPT4 API(低价),ChatGPT国内可用免费转发API,直连无需代理。可以搭配ChatBox等软件/插件使用,极大降低接口使用成本。国内即可无限制畅快聊天。

manim icon manim

Animation engine for explanatory math videos

rainfall-prediction icon rainfall-prediction

Rainfall prediction models (Linear and Logistic) trained on publicly available datasets from Austin, Texas

rainfall_prediction icon rainfall_prediction

Rainfall Prediction or Rainfall Forecasting via machine learning, such as SVR, LSTM, MLP, Seq2Seq, GBRT and XGBoost

sarima-lstm icon sarima-lstm

建立SARIMA-LSTM混合模型预测时间序列问题。以PM2.5值为例,使用UCI公开的自2013年1月17日至2015年12月31日五大城市PM2.5小时检测数据,将数据按时间段划分,使用SARIMA过滤其线性趋势,再对过滤后的残差使用LSTM进行预测,最后对预测结果进行检验和分析。

st-causalconvnet icon st-causalconvnet

A spatiotemporal causal convolutional network for predicting PM2.5 concentrations.

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