gcosma

ACO-FS

ACO Feature Selection

Machine-Learning-Model-Interrogation

Interrogate the performance of machine learning models using instance hardness measures and difficulty-based incremental evaluations.

AIethics

AI ethics sources of info

GeneralisationPowerAnalysis

Generalisation Power Analysis for finding a stable set of features using evolutionary computation feature selection algorithms

Hands-On-Python-Natural-Language-Processing

PacKt NLP Book

NLP-Natural-Language-Processing-in-Python-for-Beginners

NLP-Natural-Language-Processing-in-Python-for-Beginners

pyserini

Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.

aequitas

Bias Auditing & Fair ML Toolkit

bert-solr-search

Search with BERT vectors in Solr, Elasticsearch, OpenSearch and GSI APU

COP511-Labs-1

NeverFindMe

CPRD_multimorbidity_codelists

fyp-news-summary

A abstractive news summary generator. Taking the latest news from the internet and creating summary based on that.

Hands-On-Natural-Language-Processing-with-Python

Hands On Natural Language Processing with Python, published by Packt

I-SIRchpapers

Code for the I-SIRch summarisation and topic modelling papers

InPars

Inquisitive Parrots for Search

MedCATtrainer

A simple interface to inspect, improve and add concepts to biomedical NER+L -> MedCAT.

medsecid

Baseline model for the MedSecId paper

mimic-code

MIMIC Code Repository: Code shared by the research community for the MIMIC-III database

MMU

Source Code for Multi-Modal Unparing Framework

orion_anomaly_pipeline

quaterion

Blazing fast framework for fine-tuning similarity learning models

raft

RAFT contains fundamental widely-used algorithms and primitives for data science, graph and machine learning.

RSS_Course_Code

RSS_Course

Sy-Boid

A complexity-based synthetic dataset generator

Themis.AI_Public

This folder contains material for sharing project outputs with public.

ThemisAIPapers-Code

This repository contains the code published with the paper.

TransformerSum

Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.

trec2022-fair-public

Public code for Fair TREC 2022

VSEnetworksIR

PyTorch source code for "On the Limitations of Visual-Semantic Embedding Networks for Image-to-Text Information Retrieval" (J. Imaging 2021).

VSEnetworksLSEH

This is the PyTorch code for using LSEH of VSE networks, which is described in the paper "Improving Visual-Semantic Embeddings by Learning Semantically-Enhanced Hard Negatives for Cross-modal Information Retrieval".