Sanjay Narayana's repositories
aristo-mini
Aristo mini is a light-weight question answering system that can quickly evaluate Aristo science questions with an evaluation web server and the provided baseline solvers.
NBA_Game_Outcome_Predictor
Predictor for NBA Games using Pre Game stats
NER_Drug_Prescriptions
Named Entity REcognition to identify Adverse Drug Reactions, Dosage, Severity on Drug prescrptions.
therapy-reflections-generator
Generate short, contextual and empathetic reflections for user journal entries using NLP models.
AustralianOpen_Visualization
An interactive visualization of the Australian Open tennis tournament between 2004 - 2014. The visualization is based on the 'Dominance Ratio' statistic of players. The intention is to examine the correlation of dominance ratios and players' performance in the tournament. The visualization was created using the d3.js framework, and the data was prepared using R.
banking-microservices
A microservice based implementation of a banking system using Django, React.js and Docker
EntailmentDataset
Creating an entailment dataset through ablation from Life Cycle Dataset
extract-qualitative-relationships
Extract elements of a qualitative relationship from sentences expressing these relationships in natural language.
Image-Captioning
Generating captions from images using state-of-the-art Deep Learning techniques
k-Means_and_GMM
Implementations of the k-means and GMM algorithms based on PCA and no PCA.
knowledge_graph_reasoner
knowledge graph completion wtih reasoning
Logistic_Regression_and_KNN_MNIST
Implementation of the Logistic Regression and KNN algorithms for the MNIST dataset.
MatrixLibrary
Create Library for Matrix Multiplication and Transposition using C++ 11 Standard Library
Multi_Aspect_Sentiment_Analysis
Perform Sentiment Analysis on multiple aspects of drugs such as effectiveness, side effects etc. taken from drug reviews. Source: http://archive.ics.uci.edu/ml/datasets/Drug+Review+Dataset+%28Druglib.com%29
transformers
🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
tutorials
A series of machine learning tutorials for Torch7