Sumon Biswas's Projects
Artifact for "23 Shades of Self-Admitted Technical Debt: An Empirical Study on Machine Learning Software"
This a public key encryption algorithm.
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
This is the source of personal blog website.
The Boa language reference compiler.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
This project contains one desktop app (for doctors) and two client side app (for doctors and patients).
Demos of different attack scenarios for drones in MAVSDK
This repository contains the source code and data used for the ICSE'22 paper on Data Science Pipeline.
This repository contains the replication package for ICSE'22 paper on fairness verification of neural networks.
This repository contains the artifacts accompanied by the paper "Fair Preprocessing"
artifacts track, fse20
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
A collection of useful .gitignore templates
Portfolio
Deep Learning for humans
Performance Benchmarking for Link Prediction Algorithms in Social Networks
Markdown - you can mark up titles, lists, tables, etc., in a much cleaner, readable and accurate way if you do it with HTML.
The repository contains code and data for the paper https://github.com/sumonbis/ML-Fairness/blob/master/ml-fairness.pdf, to be appeared at ESEC/FSE 2020.
This repository contains all the resources related to the MSR 2019 Data Showcase submission. The project is on creating a Github dataset that includes hundreds of Python repository metadata and ASTs.
Implementation of Naive Bayes classifiers for classifying text documents.