# First Quarter Notebook 

### April Events 
- We won 3rd place in the hackathon!
- incorporated officially as Windtelligent AI LLC


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# Windtelligent Q1 
- created a private repository 
- created a shared private drive 
- created a baseline model & 2 demos 
- emails and social media created 

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# More Tools 

### ML  Papers: 
- Ax - [Bandit Optimization ](https://ax.dev/docs/banditopt.html)
- 2019 -[Deep Uncertainty Quantification](http://urban-computing.com/pdf/kdd19-BinWang.pdf) with NWP
- 2020 -[ WeatherBench](https://arxiv.org/abs/2002.00469) - benchmark for data driven weather forecasting 
- 2019 - [Visual  Wind Speed Prediction](https://paperswithcode.com/paper/seeing-the-wind-visual-wind-speed-prediction#code) RCNN
- 2020 - cubed sphere for [quicker](https://arxiv.org/abs/2003.11927) ensembling
- 2021 - Multi-station [forecasting](https://arxiv.org/pdf/2009.11239.pdf) RCNN
- [Tutorial](https://castlelab.princeton.edu/html/Presentations/Powell_UnifiedFrameworkforOUU_InformsTutorial_Nov132016.pdf) of Unified Framework  Optimization under Uncertainy- 2016 
- 


### Referenced Githubs: 
- [NGBoost](https://github.com/stanfordmlgroup/ngboost) for probabilistic prediction
- [Deep ensemble](https://github.com/bond005/yandex-shifts-weather) for weather shifts
- SpaceApps [Meteomatics](https://github.com/spaceappsnyc/UnicodeUnicorns2019/blob/master/MeteoMatics_API_Python_Calls.py) API Calls 
- Deep Learning with [DUQ](https://github.com/BruceBinBoxing/Deep_Learning_Weather_Forecasting)
- The [RESNet](https://github.com/luoye2333/ResNetLSTM) LSTM
- [UAV](https://github.com/weg-re/uav-analysis) Analysis
- Scikit [helper](https://github.com/sipposip/keras-tensorflow-scikit-utilities/blob/master/periodic_padding_keras_example.py) functions
- Deep CNN of [GCM](https://github.com/sipposip/simple-gcm-deep-learning)
- Deep learning models for [global weather prediction](https://github.com/jweyn/DLWP-CS) on a cubed sphere
- Multi-station [RCNN](https://github.com/IsmailAlaouiAbdellaoui/weather-forecasting-explainable-recurrent-convolutional-NN)
- [Streamlit]([https://github.com/streamlit/streamlit](https://github.com/streamlit/streamlit)) for demo 
- Download HRRR model data through [Herbie](https://github.com/blaylockbk/Herbie)

### Business tools 
- [pitch deck](https://slidebean.com/template-category/startups) templates
- YC [freebies](https://www.notion.so/ycsus/eb459f79a61e40919b03165581a66680?v=210c4c5a5cc54579986dff74d9d52eb7&p=bc542889ac09432989d22631e025f692&pm=s)
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