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1. Question-Answering-with-BERT-and-Knowledge-Distillation Question-Answering-with-BERT-and-Knowledge-Distillation Public

   Fine-tuned BERT on SQuAd 2.0 Dataset. Applied Knowledge Distillation (KD) and fine-tuned DistilBERT (student) using BERT as the teacher model. Reduced the size of the original BERT by 40%.

   Jupyter Notebook 25 4

2. Graph-Convolutional-Neural-Networks-for-Bankruptcy-Prediction-of-US-companies Graph-Convolutional-Neural-Networks-for-Bankruptcy-Prediction-of-US-companies Public

   Forked from devership16/CSCI599-DeepLearning

   Designed an Image Segmentation (SegNet) model and a Graph Convolutional Neural Network and applied them on a financial graph database provided by Bloomberg.

   Jupyter Notebook 6 2

3. Lending-Club-Loan-Charge-off-Prediction-using-Neural-Networks-and-Deep-Learning-Explanation-models Lending-Club-Loan-Charge-off-Prediction-using-Neural-Networks-and-Deep-Learning-Explanation-models Public

   Built a Neural Network in Keras that beat the Top Voted Kaggle kernel and explained its predictions using Rules and the package "Anchors" proposed in the paper High Precision Model-Agnostic Explana…

   Jupyter Notebook 1 3

4. Dow-Jones-Industrial-Average-DJIA-market-index-Prediction-using-Reddit-News- Dow-Jones-Industrial-Average-DJIA-market-index-Prediction-using-Reddit-News- Public

   Used NLP to extract important features from Reddit News and combined those features with Random Forest and Boosting algorithms to predict the DJIA market index movement.

   Jupyter Notebook 1

5. Numerical-Unconstrained-Optimization-Solver Numerical-Unconstrained-Optimization-Solver Public

   Implemented Gradient Descent, Newton, Modified Newton, DFP and BFGS numerical optimization algorithms in C from scratch and compared the results with the commercial AMPL'S MINOS solver.

   C++ 2

6. Human-Activity-Recognition Human-Activity-Recognition Public

   Human Activity Recognition using Time Series Classification

   Jupyter Notebook 2