Pinned Repositories
Abusive-Comment-Classification
Aparna-Vijayakumar.github.io
Automatic-Database-Tuning-Through-Large-scale-Machine-Learning
Since DBMSes have hundreds of knobs, tuning them to minimize latency is particularly hard. The paper uses an automated approach that using ML to recommend configurations of DBMS knobs for current workload based on the workloads it has seen in the past.
challenges
Classification-of-Breast-Cancer
Classification of Breast Cancer using Histopathological Images
College-Donations-Analysis
Analysis of the donations made by students to universities across the United States.
Data-Science-Coursera-Projects
Implementation of some projects in the Data Science course on Coursera offered by John Hopkins University.
match-lstm
PyTorch Implementation of "Learning Natural Language Inference with LSTM", 2016, S. Wang et al. (https://arxiv.org/pdf/1512.08849.pdf)
Neural-Style-Transfer
Style Transfer using Cycle Consistent Adversarial Networks (CycleGANs)
Text-Summarization
Abstractive text summarization using LSTM
Aparna-Vijayakumar's Repositories
Aparna-Vijayakumar/Classification-of-Breast-Cancer
Classification of Breast Cancer using Histopathological Images
Aparna-Vijayakumar/Abusive-Comment-Classification
Aparna-Vijayakumar/Automatic-Database-Tuning-Through-Large-scale-Machine-Learning
Since DBMSes have hundreds of knobs, tuning them to minimize latency is particularly hard. The paper uses an automated approach that using ML to recommend configurations of DBMS knobs for current workload based on the workloads it has seen in the past.
Aparna-Vijayakumar/Data-Science-Coursera-Projects
Implementation of some projects in the Data Science course on Coursera offered by John Hopkins University.
Aparna-Vijayakumar/Text-Summarization
Abstractive text summarization using LSTM
Aparna-Vijayakumar/Aparna-Vijayakumar.github.io
Aparna-Vijayakumar/challenges
Aparna-Vijayakumar/College-Donations-Analysis
Analysis of the donations made by students to universities across the United States.
Aparna-Vijayakumar/match-lstm
PyTorch Implementation of "Learning Natural Language Inference with LSTM", 2016, S. Wang et al. (https://arxiv.org/pdf/1512.08849.pdf)
Aparna-Vijayakumar/Neural-Style-Transfer
Style Transfer using Cycle Consistent Adversarial Networks (CycleGANs)
Aparna-Vijayakumar/Sentiment-Analysis
This project uses a simple machine learning model to classify the sentiment of each product review.
Aparna-Vijayakumar/Website