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Quantitative Researcher at Headlands Technologies| CS + Physics@ucberkeley
- Chicago
- 20:36
(UTC -05:00) - http://mingyfong.github.io/
- https://orcid.org/0000-0001-8002-5248
- in/mingfong
Highlights
- Pro
PinnedLoading
- transfer-learning
transfer-learning PublicTransfer Learning with the Delphes and ATLAS simulation datasets
Jupyter Notebook 1
- LCStudies
LCStudies PublicForked fromatlas-calo-ml/LCStudies
Calorimeter cluster classification for the ATLAS experiment
Jupyter Notebook 4
- atlas-calo-ml/gn4pions_eastbay
atlas-calo-ml/gn4pions_eastbay PublicUsing graph_nets for pion classification and energy regression. Contributions from LLNL and LBNL
- google-trends-financial-modeling
google-trends-financial-modeling PublicPredicting index movements with Google Trends search volume alternative data
Jupyter Notebook 16
- Real-Estate-Price-Prediction
Real-Estate-Price-Prediction PublicPredicting NYC real estate sale prices using neural networks (1st place Berkeley SAAS Kaggle Competition Fall 2020)
Jupyter Notebook 8
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