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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 datasetGraph-Generation-MLE
Reading-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 ProcessesSAMIL
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