- Los Angeles, California
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Interpretability-of-ML-models
Interpretability-of-ML-models PublicExploring Interpretability of Machine Learning models for object detection. Used GoogleNet and VGG-19
Jupyter Notebook
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yaoyu-33/quantum_dynamics_machine_learning
yaoyu-33/quantum_dynamics_machine_learning PublicJupyter Notebook 3
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Medical-Image-Classification-using-CNN
Medical-Image-Classification-using-CNN PublicChest X-ray and CT scan classification into following categories: pre-existing conditions, healthy and Effusion/Mass
Jupyter Notebook
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Sentiment_Analysis_Tweets_using_RNN_LSTM
Sentiment_Analysis_Tweets_using_RNN_LSTM PublicClassifying the tweets into five categories- Extemely negative, negative, neutral, positive and extremely positive. Baseline - Naive Bayes Classifier, models - RNN-LSTM
Jupyter Notebook 1
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Time_series_forecasting_RNN
Time_series_forecasting_RNN PublicPredicting the temperature for next 24-120 hours using RNN-LSTM
Jupyter Notebook
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Fine-tune-BERT-for-sequence-tagging
Fine-tune-BERT-for-sequence-tagging PublicNER for CONLL03 Dataset
Python 2
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