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2019_FORCE_talk
2019_FORCE_talk PublicData and Background for the 2019 FORCE talk: A Million Wells: Using procedural generation of data using reduced physics to train deep neural network architectures for subsurface development projects
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LSTM-Human-Activity-Recognition
LSTM-Human-Activity-Recognition PublicForked from guillaume-chevalier/LSTM-Human-Activity-Recognition
Human activity recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNST…
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Air-Quality-Prediction-Hackathon-Winning-Model
Air-Quality-Prediction-Hackathon-Winning-Model PublicForked from benhamner/Air-Quality-Prediction-Hackathon-Winning-Model
Contains the code for the model that won Kaggle's Air Quality Prediction Hackathon
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CRC-IT/surv_schema’s past year of commit activity - 2019_FORCE_talk Public
Data and Background for the 2019 FORCE talk: A Million Wells: Using procedural generation of data using reduced physics to train deep neural network architectures for subsurface development projects
CRC-IT/2019_FORCE_talk’s past year of commit activity
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