Supriti Vijay's repositories
Detecting-Gender-Bias-using-Explainability
Applying the concept of explianability to detect gender bias in sentiment analysis models for textual data.
Legal_Intelligence_Papers
Must-read Papers on Legal Intelligence
AdaptKeyBERT
AdaptKeyBERT extended keyphrase extraction with zero-shot and few-shot semi-supervised domain adaptation
Explainable-Fake-News-Detector
Integrating Explainable AI with Fake News Detection Classifier
Extracting-Gradients-from-huGGing-face-Sentence-Classifiers
EGGGS-C: Extracting text gradients from Hugging face Transformers
maskUp-AttributeIdenitityEncryptionSystem
Attribute-Identity Encryption System for #maskUp
Opportunities
This is a resource list that members of ACM-W's Manipal Chapter have put together for Engineering Undergraduate students in India that includes scholarships and internship opportunities.
Question-Answering-Based-System
Question answering is a computer science discipline within the fields of information retrieval and natural language processing, which is concerned with building systems that automatically answer questions posed by humans in a natural language.
supritivijay.github.io
Personal Website
AlgoBook
A beginner-friendly project to help you in open-source contributions. Made specifically for contributions in HACKTOBERFEST 2020! Algorithms in Python and Machine Learning. Please leave a star ⭐ to support this project! ✨
Asha
Asha is a bot in order to register complaints against atrocious things
awesome-fairness-papers
Papers on fairness in NLP
hyperopt
Distributed Asynchronous Hyperparameter Optimization in Python
jenkins-example
An example repository to connect flyway with a jenkins job
Map-Reduce-MRP-
Map-Reduce Programs
Sales_Prediction
A data science project using sophisticated time series analysis and forecasting techniques to analyze and predict the sales of a toy company.
Stemming-From-Scratch
Stemming is the process of reducing inflected words to their word stem, base or root form—generally a written word form.
supritivijay.github.io-old
Personal Website
Understanding-Federated-Learning
Federated learning is a machine learning technique that trains an algorithm across multiple decentralized edge devices or servers holding local data samples, without exchanging them.