Nischal Ashok Kumar's repositories
Multitask-Fake-News-NES
Code for misinformation detection using multi-task learning from novelty, emotion and sentiment.
Misinformation-Multitask-Attention-NE
Code for the paper "Misinformation detection using multi-task learning with mutual learning for novelty detection and emotion recognition"
Misinformation-Novelty-Emotion
Code for the paper "What the Fake? Probing Misinformation Standing on the Shoulder of Novelty and Emotion"
BERT_Tutorial
Code for using BERT embeddings and fine-tuning for classification tasks
Contrastive_Learning_MM_FND
Contrastive Learning for Multimodal Fake News
Credit-Card-Fraud-Detection
Uses Machine Learning and Deep Learning algorithms for detecting fraud in credit card transactions
Smart_Lock_System
Deep Learning based Finite State Machine implementation of a Smart Lock System
HoneyPot_Password_Authentication
Implementation of Eugler's HoneyPot based Password Authentication System
Persona-Story-Gen
Personalized Story Generation
Quest_Question_Generation_Challenge
Code for the Learning Agency Lab's Automated Question Generation Challenge
Two_Pass_Assembler_Emulator
Two Pass Assembler and Emulator for compiling and running assembly language
Adversarial_Robustness
exploring the role of unlabeled data for adversarial robustness
IIT_Patna_Academic_Chatbot
A chatbot for IIT Patna's academic portal
Reddit_Drug_Classifier
A classifier for classifying comments as motivational or not.
Annotation_Interface
Python-based GUI(Graphical User Interface) for annotation of documents.
Delivery_Company_Database
Database system simulation for a delivery/ logistics company.
Misinformation_Baselines
Deep Learning implementations for Baselines of Misinformation Stance Detection Datasets
ML-AI-Meetups
Contains topics discussed in the DSC ML-AI meetups of IIT-Patna along with general resources
Nish-19.github.io
Nischal's personal website
SB3-tutorial
Tutorial for using Stable Baselines 3 for creating custom policies
Unsupervised_Data_Mining
Information Retrieval from unstructured documents.