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mltlachac.github.io Public
Forked from academicpages/academicpages.github.ioGithub Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
JavaScript MIT License UpdatedFeb 4, 2025 -
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Communication-Profiles Public
Materials for paper titled "Mental Health and Mobile Communication Profiles of Crowdsourced Participants"
Jupyter Notebook UpdatedAug 3, 2024 -
SLOTH Public
Materials for paper titled "Symptom Detection with Text Message Log Distributions for Holistic Depression and Anxiety Screening"
Jupyter Notebook UpdatedAug 3, 2024 -
EMBC2023 Public
Materials for paper titled "Mobile Communication Log Time Series to Detect Depressive Symptoms"
Jupyter Notebook UpdatedJan 1, 2024 -
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DepreST-CAT Public
Dataset consisting of call and text logs labeled with mental illness screening surveys scores
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Texygen Public
Forked from geek-ai/TexygenA text generation benchmarking platform
Python MIT License UpdatedFeb 7, 2023 -
EMBC2020 Public
Materials for papers titled 'Depression Screening from Text Message Reply Latency' and 'Anomalous Antimicrobial Susceptibility Trend Identification'
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LexicalCategories Public
Materials for paper titled "Automated Construction of Lexicons to Improve Depression Screening with Text Messages"
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UbiComp2022 Public
Materials for paper titled 'Left on Read: Anxiety and Depression Screening with Reply Latency'
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StereotypeThreat Public
Materials for paper titled "Impact Assessment of Stereotype Threat on Mobile Depression Screening using Bayesian Estimation"
Jupyter Notebook UpdatedAug 9, 2022 -
StudentSADD Public
Code accompanying the studentSADD dataset
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IEEEBHI2021 Public
Materials for papers titled 'Mobile Depression Screening with Time Series of Text Logs and Call Logs' and 'Screening for Suicidal Ideation with Text Messages'
Jupyter Notebook UpdatedAug 14, 2021 -
fairseq Public
Forked from facebookresearch/fairseqFacebook AI Research Sequence-to-Sequence Toolkit written in Python.
Python MIT License UpdatedJul 23, 2021 -
TDA Public
Materials for paper titled 'Topological Data Analysis to Engineer Features from Audio Signals for Depression Detection'
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pytorch-pretrained-BERT Public
Forked from ethanjperez/pytorch-pretrained-BERT📖The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.
Python Apache License 2.0 UpdatedNov 2, 2020 -
gan_tensorflow Public
Forked from hamaadshah/gan_tensorflowAutomatic feature engineering using Generative Adversarial Networks using TensorFlow.
Jupyter Notebook Apache License 2.0 UpdatedNov 1, 2020 -
IEEEjBHI2020 Public
Materials for paper titled 'Screening for Depression with Retrospectively Harvested Private versus Public Text'
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IEEEBHI2019 Public
Materials for paper titled 'You're Making Me Depressed: Leveraging Text From Contact Subsets to Predict Depression'
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JMM2016 Public
Materials for JMM poster titled "Statistical Analysis of Crime in Eau Claire, WI"
R UpdatedOct 17, 2020 -
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polyglot-with-instructions-for-windows Public
Forked from aboSamoor/polyglotMultilingual text (NLP) processing toolkit
Python Other UpdatedSep 22, 2020 -
BERTweet Public
Forked from VinAIResearch/BERTweetBERTweet: A pre-trained language model for English Tweets (EMNLP-2020)
Python MIT License UpdatedSep 21, 2020 -
CTGAN Public
Forked from sdv-dev/CTGANConditional GAN for generating synthetic tabular data.
Python MIT License UpdatedSep 11, 2020 -
autoencoders-and-gans Public
Forked from sankalptambe/autoencoders-and-gansExplore how autoencoders work and how to use them for dimensionality reduction, feature extraction, unsupervised pretraining or as generative models. Then, understand adversial training and build a…
Jupyter Notebook UpdatedSep 5, 2020 -
cwavegan Public
Forked from chaeyoung-lee/cwaveganConditional WaveGAN: Generating audio samples conditioned on class labels
Python MIT License UpdatedMar 31, 2020 -
RelGAN Public
Forked from Nicolas-Pingal/RelGANModified Version of RelGAN
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HEALTHINF2018 Public
Materials for paper titled 'Predicting Future Antibiotic Susceptibility using Regression-based Methods on Longitudinal Massachusetts Antibiogram Data'