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graph-generation-EDGE
EDGE: Efficient and Degree-Guided Graph Generation via Discrete Diffusion ModelingGAN-Ensemble-for-Anomaly-Detection
This repository is the PyTorch implementation of GAN Ensemble for Anomaly Detection.KCN
Kriging Convolutional Networks (KCN) in Tensoflowgraph-generation-vi
This repository contains PyTorch implementation of the following paper: "Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation"fNIRS-mental-workload-classifiers
Code for training, evaluating, and visualizing performance of mental workload classification using fNIRS BCI sensorskcn-torch
SSL-vs-SSL-benchmark
Code for benchmark comparing self-supervised and semi-supervised deep classifiers for medical imagesssl-for-echocardiograms
Code for the MLHC 2021 paper: A New Semi-supervised Learning Benchmark for Classifying View and Diagnosing Aortic Stenosis from Echocardiogramstime_series_prediction
Code for prediction given sequential data with some missing / irregularly-spaced values (PI: Mike Hughes).Prune4SED
fix-a-step
Code for semi-supervised learning using Fix-A-StepPatchGT
This repository contains PyTorch implementation of the submission: PatchGT: Transformer over Non-trainable Clusters for Learning Graph Representationssigma
false-alarm-control
Code for training binary classifiers to maximize recall subject to a minimum precision constraint. Paper published at AISTATS '22.tmed2-echocardiogram-classifiers
Code for classification of echocardiograms (view type, severity level) with the TMED datasetReading-List
Welcome to add any papers you want to share!cumulative-link-models
Code for cumulative link models for ordinal regression that support differentiable learning ala PyTorchcategorical-from-binary
Code for the paper "Easy Variational Inference for Categorical Models via an Independent Binary Approximation"single-hospital-count-forecasting
Methods to forecast counts of hospital utilization at a single hospital site during COVID-19 pandemic.covid19-forecasting
Simulation software for forecasting demand at various stages of hospitalizationSepNorm
aigp
The code for the inference method, AIGP, for Gaussian Processescomp150_bdl_2018f_public
Public code repo for Tufts COMP 150-03 in Fall 2018SAMIL
Code for the paper Detecting Heart Disease from Multi-View Ultrasound Images via Supervised Attention Multiple Instance Learningpchmm-missing-data-limited-labels
Repository for paper "Prediction-Constrained Markov Models for Medical Time Series with Missing Data and Few Labels" at NeurIPS workshop (Learning from Time Series For Health)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. Hughesaced-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.tufts_ml_website
Source code for the Tufts ML websiteInterLUDE
Code for ICML 2024 paper "InterLUDE: Interactions between Labeled and Unlabeled Data to Enhance Semi-supervised Learning"hugheslab-onboarding
Onboarding info for hugheslab (HPC cluster, etc.)data-driven-missingness-cru-irregular-timeseries
Code for irregular time-series models with missing-not-at-random assumptionvariational-for-mixture-of-gaussians
Demo repository of code and writeup for variational methods for a mixture of GaussiansLove Open Source and this site? Check out how you can help us