Contains work done for NLP Specialization courses from DeepLearning.AI
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Updated
Jan 5, 2022 - Jupyter Notebook
Contains work done for NLP Specialization courses from DeepLearning.AI
similarity search and clustering algorithms for time-series represented as euclidean polygonal curves
Homeworks done within Data Mining course of M.Sc. in Engineering in Computer Science at Università degli Studi di Roma "La Sapienza" (A.Y. 2016/2017), in collaboration with Giacomo Lanciano and Francisco Ferreres.
Lab solutions for Analysis of Massive Datasets ("Analiza velikih skupova podataka") course at FER 2020/21
Coursera's Natural Language Processing specialization
Fast Jaccard similarity search for abstract sets (documents, products, users, etc.) using MinHashing and Locality Sensitve Hashing
Implementation of a locality-sensitive-hashing (LSH) algorithm inspired by how the fruit fly's olfactory circuit encode odors (Dasgupta et al., 2017).
[Experiment] Approximate k-nearest neighbors (k-NN) with locality-sensitive hashing (LSH)
ETH Zurich Fall 2017
Big data computing homework
Explores the MovieLens dataset (1M version) to uncover valuable insights into user behavior, demographics, movie popularity, and community structures. Various tasks, including data preprocessing, clustering, community detection, and recommendation systems, provide a holistic understanding of the dataset.
An advanced technique to find similarities in files.
documents my master's level thesis work on building continous, topical web crawler based on mercator 1999
A Tracking Framework for MOT Challenge
Code Scalable Product Duplicate Detection 2021
This repository contains my coursework and projects completed during the Natural Language Processing Specialization offered by DeepLearning.AI.
Neighbourhood Preserving Quantisation (NPQ) code
Extract looping GIFs from longer videos using locality-sensitive hashing.
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