mltlachac

Pinned Repositories

DepreST-CAT
Dataset consisting of call and text logs labeled with mental illness screening surveys scores
Language:Jupyter Notebook40
EMBC2020
Materials for papers titled 'Depression Screening from Text Message Reply Latency' and 'Anomalous Antimicrobial Susceptibility Trend Identification'
Language:Jupyter Notebook10
EMU
Materials for EMU
Language:Jupyter Notebook3 1 00
HEALTHINF2018
Materials for paper titled 'Predicting Future Antibiotic Susceptibility using Regression-based Methods on Longitudinal Massachusetts Antibiogram Data'
Language:Python1 0 02
IEEEBHI2019
Materials for paper titled 'You're Making Me Depressed: Leveraging Text From Contact Subsets to Predict Depression'
Language:Jupyter Notebook10
IEEEBHI2021
Materials for papers titled 'Mobile Depression Screening with Time Series of Text Logs and Call Logs' and 'Screening for Suicidal Ideation with Text Messages'
Language:Jupyter Notebook00
IEEEjBHI2020
Materials for paper titled 'Screening for Depression with Retrospectively Harvested Private versus Public Text'
Language:Jupyter Notebook12
LexicalCategories
Materials for paper titled "Automated Construction of Lexicons to Improve Depression Screening with Text Messages"
Language:Jupyter Notebook10
StereotypeThreat
Materials for paper titled "Impact Assessment of Stereotype Threat on Mobile Depression Screening using Bayesian Estimation"
Language:Jupyter Notebook00
TDA
Materials for paper titled 'Topological Data Analysis to Engineer Features from Audio Signals for Depression Detection'
Language:Python4 1 04

mltlachac's Repositories

mltlachac/DepreST-CAT
Dataset consisting of call and text logs labeled with mental illness screening surveys scores
Language:Jupyter Notebook40
mltlachac/TDA
Materials for paper titled 'Topological Data Analysis to Engineer Features from Audio Signals for Depression Detection'
Language:Python4 1 04
mltlachac/EMU
Materials for EMU
Language:Jupyter Notebook3 1 00
mltlachac/EMBC2020
Materials for papers titled 'Depression Screening from Text Message Reply Latency' and 'Anomalous Antimicrobial Susceptibility Trend Identification'
Language:Jupyter Notebook10
mltlachac/HEALTHINF2018
Materials for paper titled 'Predicting Future Antibiotic Susceptibility using Regression-based Methods on Longitudinal Massachusetts Antibiogram Data'
Language:Python1 0 02
mltlachac/IEEEBHI2019
Materials for paper titled 'You're Making Me Depressed: Leveraging Text From Contact Subsets to Predict Depression'
Language:Jupyter Notebook10
mltlachac/IEEEjBHI2020
Materials for paper titled 'Screening for Depression with Retrospectively Harvested Private versus Public Text'
Language:Jupyter Notebook12
mltlachac/LexicalCategories
Materials for paper titled "Automated Construction of Lexicons to Improve Depression Screening with Text Messages"
Language:Jupyter Notebook10
mltlachac/autoencoders-and-gans
Explore 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 simple GAN to generate fake images.
Language:Jupyter Notebook00
mltlachac/IEEEBHI2021
Materials for papers titled 'Mobile Depression Screening with Time Series of Text Logs and Call Logs' and 'Screening for Suicidal Ideation with Text Messages'
Language:Jupyter Notebook00
mltlachac/JMM2016
Materials for JMM poster titled "Statistical Analysis of Crime in Eau Claire, WI"
Language:R00
mltlachac/StereotypeThreat
Materials for paper titled "Impact Assessment of Stereotype Threat on Mobile Depression Screening using Bayesian Estimation"
Language:Jupyter Notebook00
mltlachac/StudentSADD
Code accompanying the studentSADD dataset
Language:Jupyter Notebook02
mltlachac/BERTweet
BERTweet: A pre-trained language model for English Tweets (EMNLP-2020)
mltlachac/CCIS2018
Materials for paper titled 'Predictive Modeling of Emerging Antibiotic Resistance Trends'
Language:Python
mltlachac/cSeqGAN
Code for cSeqGAN
Language:Python
mltlachac/CTGAN
Conditional GAN for generating synthetic tabular data.
mltlachac/cwavegan
Conditional WaveGAN: Generating audio samples conditioned on class labels
mltlachac/Depression-Tweets-2019-to-2020
Deep Tweet "Depression"
mltlachac/EMBC2023
Materials for paper titled "Mobile Communication Log Time Series to Detect Depressive Symptoms"
Language:Jupyter Notebook
mltlachac/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
mltlachac/gan_tensorflow
Automatic feature engineering using Generative Adversarial Networks using TensorFlow.
mltlachac/IEEEBHI2018
Materials for paper titled 'CASSIA: An Assistant For Identifying Clinically and Statistically Significant Decreases in Antimicrobial Susceptibility'
Language:Python
mltlachac/mltlachac.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Language:JavaScript
mltlachac/polyglot-with-instructions-for-windows
Multilingual text (NLP) processing toolkit
Language:Python
mltlachac/pytorch-pretrained-BERT
📖The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.
Language:Python
mltlachac/RelGAN
Modified Version of RelGAN
Language:Python1
mltlachac/SLOTH
Materials for paper
mltlachac/Texygen
A text generation benchmarking platform
Language:Python
mltlachac/UbiComp2022
Materials for paper titled 'Left on Read: Anxiety and Depression Screening with Reply Latency'
Language:Jupyter Notebook1