47 lines
2.5 KiB
Markdown
47 lines
2.5 KiB
Markdown
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# First Quarter Notebook
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### April Events
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- We won 3rd place in the hackathon!
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- incorporated officially as Windtelligent AI LLC
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---
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# Windtelligent Q1
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- created a private repository
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- created a shared private drive
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- created a baseline model & 2 demos
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- emails and social media created
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---
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# More Tools
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### ML Papers:
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- Ax - [Bandit Optimization ](https://ax.dev/docs/banditopt.html)
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- 2019 -[Deep Uncertainty Quantification](http://urban-computing.com/pdf/kdd19-BinWang.pdf) with NWP
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- 2020 -[ WeatherBench](https://arxiv.org/abs/2002.00469) - benchmark for data driven weather forecasting
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- 2019 - [Visual Wind Speed Prediction](https://paperswithcode.com/paper/seeing-the-wind-visual-wind-speed-prediction#code) RCNN
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- 2020 - cubed sphere for [quicker](https://arxiv.org/abs/2003.11927) ensembling
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- 2021 - Multi-station [forecasting](https://arxiv.org/pdf/2009.11239.pdf) RCNN
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- [Tutorial](https://castlelab.princeton.edu/html/Presentations/Powell_UnifiedFrameworkforOUU_InformsTutorial_Nov132016.pdf) of Unified Framework Optimization under Uncertainy- 2016
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### Referenced Githubs:
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- [NGBoost](https://github.com/stanfordmlgroup/ngboost) for probabilistic prediction
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- [Deep ensemble](https://github.com/bond005/yandex-shifts-weather) for weather shifts
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- SpaceApps [Meteomatics](https://github.com/spaceappsnyc/UnicodeUnicorns2019/blob/master/MeteoMatics_API_Python_Calls.py) API Calls
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- Deep Learning with [DUQ](https://github.com/BruceBinBoxing/Deep_Learning_Weather_Forecasting)
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- The [RESNet](https://github.com/luoye2333/ResNetLSTM) LSTM
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- [UAV](https://github.com/weg-re/uav-analysis) Analysis
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- Scikit [helper](https://github.com/sipposip/keras-tensorflow-scikit-utilities/blob/master/periodic_padding_keras_example.py) functions
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- Deep CNN of [GCM](https://github.com/sipposip/simple-gcm-deep-learning)
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- Deep learning models for [global weather prediction](https://github.com/jweyn/DLWP-CS) on a cubed sphere
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- Multi-station [RCNN](https://github.com/IsmailAlaouiAbdellaoui/weather-forecasting-explainable-recurrent-convolutional-NN)
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- [Streamlit]([https://github.com/streamlit/streamlit](https://github.com/streamlit/streamlit)) for demo
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- Download HRRR model data through [Herbie](https://github.com/blaylockbk/Herbie)
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### Business tools
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- [pitch deck](https://slidebean.com/template-category/startups) templates
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- YC [freebies](https://www.notion.so/ycsus/eb459f79a61e40919b03165581a66680?v=210c4c5a5cc54579986dff74d9d52eb7&p=bc542889ac09432989d22631e025f692&pm=s)
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