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aced-hmm-hospitalized-patient-trajectory-model

Code for a model of how COVID-19 patients progress through stages of care in the hospital. Includes ability to forecast from the model, as well as simulation-based inference.

aigp

The code for the inference method, AIGP, for Gaussian Processes

any_parameter_encoder

Public code release accompanying the AABI 2019 paper "Rapid Model Comparison by Amortizing Across Models" by Lily H. Zhang and Michael C. Hughes

bdl-transfer-learning

c19-dashboard

Dashboard for visualizing forecasts

categorical-from-binary

Code for the paper "Easy Variational Inference for Categorical Models via an Independent Binary Approximation"

comp150_bdl_2018f_public

Public code repo for Tufts COMP 150-03 in Fall 2018

covid19-forecasting

Simulation software for forecasting demand at various stages of hospitalization

cumulative-link-models

Code for cumulative link models for ordinal regression that support differentiable learning ala PyTorch

dagg-rout-vi

data-driven-missingness-cru-irregular-timeseries

Code for irregular time-series models with missing-not-at-random assumption

decoupledgcd

Decoupled prototypical GCD models

differentiable-top-k

Code for differentiable learning of functions that involve selecting the top K of many elements

dsarf_agentformer_baseline_for_hsrdm

Baselines on Figure 8 and Basketball data for paper titled 'Discovering group dynamics in synchronous time series via hierarchical recurrent switching-state models'

extrapolating-classifier-accuracy-to-larger-datasets

false-alarm-control

Code for training binary classifiers to maximize recall subject to a minimum precision constraint. Paper published at AISTATS '22.

fix-a-step

Code for semi-supervised learning using Fix-A-Step

fnirs-mental-workload-classifiers

Code for training, evaluating, and visualizing performance of mental workload classification using fNIRS BCI sensors

gan-ensemble-for-anomaly-detection

This repository is the PyTorch implementation of GAN Ensemble for Anomaly Detection.

grape-must

This repository holds the code and models for the paper Graph Pruning for Enumeration of Minimal Unsatisfiable Subsets, published at AISTATS2024

graph-generation-edge

EDGE: Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling

graph-generation-mle

graph-generation-vi

This repository contains PyTorch implementation of the following paper: "Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation"

hugheslab-onboarding

Onboarding info for hugheslab (HPC cluster, etc.)

kcn

Kriging Convolutional Networks (KCN) in Tensoflow

kcn-torch

liulab.github.io

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

masked-modeling-for-anomaly-detection

code implementation for the paper "Exploiting Variable Correlation with Masked Modeling for Anomaly Detection in Time Series".

mastre-reuse-pretrained-models

Demonstration of reuseable pretrained models saved in ONNX format