INASIC

ai-methods-for-mental-health-monitoring

Website for AI UK 2024's Fringe Event, "AI methods for mental health monitoring", organized jointly by the Alan Turing Institute's "Natural Language Processing" and "Data Science for Mental Health" Special Interest Groups.

anhp-andtt

Codebase for Attentive Neural Hawkes Process (A-NHP) and Attentive Neural Datalog Through Time (A-NDTT)

AnnotateChange

A simple flask application to collect annotations for the Turing Change Point Dataset, a benchmark dataset for change point detection algorithms

arxiv2018-bayesian-ensembles

awesome-bioie

🧫 A curated list of resources relevant to doing Biomedical Information Extraction (including BioNLP)

awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

awesome-parasite

A curated list of host-parasite information

awesome-summernote

A curated list for summernote modules

bayesian-online-changepoint-detection-for-multivariate-point-processes

Implementation of Log Gaussian Cox Process in Python for Changepoint Detection using GPFlow

covid-alert

A privacy-preserving app for comparing last-known locations of coronavirus patients

EDTPP

Front-end-Developer-Interview-Questions

A list of helpful front-end related questions you can use to interview potential candidates, test yourself or completely ignore.

hyper-sos-naacl

Code release for NAACL 2021 paper Hyper-SOS

hyperbolic-tlstm-sigir

mental-health-datasets

An evolving list of electronic media data sets used to model mental-health status.

neural_stpp

Deep generative modeling for time-stamped heterogeneous data, enabling high-fidelity models for a large variety of spatio-temporal domains.

neuralTPPs

phase-eacl

Code release for "PHASE: Learning Emotional Phase-aware Representations for Suicide Ideation Detection on Social Media", EACL 2021.

private-ai

Repo for Udacity's Secure & Private AI course

PyDP

A python wrapper for https://github.com/google/differential-privacy

pyhawkes

Python framework for inference in Hawkes processes.

sahp_repo

STATENet_Time_Aware_Suicide_Assessment

Code release for "A Time-Aware Transformer Based Model for Suicide Ideation Detection on Social Media", EMNLP 2020.

TCPD

The Turing Change Point Dataset - A collection of time series for the evaluation and development of change point detection algorithms

TCPDBench

The Turing Change Point Detection Benchmark: An Extensive Benchmark Evaluation of Change Point Detection Algorithms on real-world data

temporal_attention

Code and data for the paper "Temporal Attention for Language Models", Findings of NAACL 2022

tick

Module for statistical learning, with a particular emphasis on time-dependent modelling

Transformer-Hawkes-Process

Code for Transformer Hawkes Process, ICML 2020.

turing-nlp.github.io

vae_mpp

Variational Autoencoders for Marked Point Processes