Methods for numerical differentiation of noisy data in python
Identifying the boundaries of main content of fiction and non-fiction works in the HathiTrust Extracted Features dataset.
Developed N-gram based and LSTM based Language Models for various channels of social media
Numerical optimization via mollifier smoothing
OpenCV, apply 'Homogeneous', 'Gaussian' filter on image.
This stores the CS2731 course projects in the Natural Language Processing class.
Developing a novel technique to automatically smooth temperature data
NGram with basic smoothing
Created by Mehmet Zahid Genç
An NLP project leveraging character trigrams and smoothing techniques (Lidstone, Linear Discounting, Absolute Discounting) for language identification. Trained on for Spanish, Italian, English, French, Dutch, and German, achieving 99.8932% accuracy. Includes datasets, model parameters, and comprehensive documentation.
Implementation of smoothing-based optimization algorithms
Ngrams with basic smoothing.
Ngrams with Basic Smoothings
Course Repository for ELL881 (Special Topics:Modern Natural Language Processing), 6th Semester, 2023, IITD
SUPERVISED LEARNING: REGRESSION: Linear - Polynomial - Ridge/Lasso CLASSIFICATION: K-NN - Naïve Bayes - Decision Tree - Logistic Regression - Confusion Matrix - SVM TIME SERIES ANALYSIS: Linear & Logistic Regr. - Autoregressive Model - ARIMA - Naïve - Smoothing Technique UNSUPERVISED LEARNING: CLUSTERING: K-Means - Agglomerative - Mean-Shift - F…
A secure Image Processing pipeline based on Homomorphic Encryption, capable of performing various central tasks. Most notably, it includes matching encrypted images using the SIFT algorithm.
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