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Aman Sawarn's Projects

bidaf-keras icon bidaf-keras

Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2

cs224n icon cs224n

CS224n Natural Laungage Processing Assignments

donor-choose-automation icon donor-choose-automation

DonorsChoose is a platform where teachers request funds for their students for educational purposes. There are huge amount of proposals from teachers to be reviewed by volunteers and it's still increasing. We(with Fei Li) cleaned the data, did feature engineering(including NLP techniques to extract features from texts) and built a high-performance (AUC 0.81) predictor/classifier with Ensemble method (Gradient Boost, GRU, Random Forest, etc.). It can help to automatically choose which proposals to approve. Based on the predictor, volunteers need only to focus on the marginal cases and this greatly reduce unnecessary labor.

gans icon gans

Using GANS for various Purposes

haberman_dataset_visualization icon haberman_dataset_visualization

The Haberman's survival dataset contains cases from a study that was conducted between 1958 and 1970 at the University of Chicago's Billings Hospital on the survival of patients who had undergone surgery for breast cancer.

imad-app-v2 icon imad-app-v2

Base repository for IMAD V2 course application. PLEASE DO NOT submit PRs, or push to this git repository!

keras-gan icon keras-gan

Keras implementations of Generative Adversarial Networks.

quora-insincere-question-prediction icon quora-insincere-question-prediction

This is a data taken from Kaggle Quora Insincere question prediction. The aim of this competion was to will develop models that identify and flag insincere questions. To date, Quora has employed both machine learning and manual review to address this problem. With your help, they can develop more scalable methods to detect toxic and misleading content.

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