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
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.
A Subgraph-indexing-runtime that prioritises performance & cost efficiency
Python implementation of a TF-IDF/cosine based search engine
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