Big Data and Machine Intelligence Course in Autumn 2019.
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Updated
Jan 15, 2020 - Jupyter Notebook
Big Data and Machine Intelligence Course in Autumn 2019.
🌲 Improved Interval B+ tree implementation, in TS 🌲
This repository contains an application designed to recommend scientific papers that are most similar to a given input paragraph. The application uses the llama and weaviate libraries to achieve this.
A zero-dependency library of classes that make filtering, sorting and observing changes to arrays easier and more efficient.
System for Managing the data generated by the SEAGrid Science Gateway
A Subgraph-indexing-runtime that prioritises performance & cost efficiency
Time series analysis showing trend, seasonality, and periodicity decomposition; and forecasting using Facebook Prophet. The analysis makes extensive use of indexing data tools and of the Pandas and Datetime libraries.
Python implementation of a TF-IDF/cosine based search engine
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