tufts-ml Goto Github PK
Name: Tufts Machine Learning
Type: Organization
Bio: Tufts Machine Learning
Location: Medford, MA
Name: Tufts Machine Learning
Type: Organization
Bio: Tufts Machine Learning
Location: Medford, MA
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.
The code for the inference method, AIGP, for Gaussian Processes
Public code release accompanying the AABI 2019 paper "Rapid Model Comparison by Amortizing Across Models" by Lily H. Zhang and Michael C. Hughes
Dashboard for visualizing forecasts
Code for the paper "Easy Variational Inference for Categorical Models via an Independent Binary Approximation"
Public code repo for Tufts COMP 150-03 in Fall 2018
Simulation software for forecasting demand at various stages of hospitalization
Code for cumulative link models for ordinal regression that support differentiable learning ala PyTorch
Code for irregular time-series models with missing-not-at-random assumption
Decoupled prototypical GCD models
Code for differentiable learning of functions that involve selecting the top K of many elements
Baselines on Figure 8 and Basketball data for paper titled 'Discovering group dynamics in synchronous time series via hierarchical recurrent switching-state models'
Code for training binary classifiers to maximize recall subject to a minimum precision constraint. Paper published at AISTATS '22.
Code for semi-supervised learning using Fix-A-Step
Code for training, evaluating, and visualizing performance of mental workload classification using fNIRS BCI sensors
This repository is the PyTorch implementation of GAN Ensemble for Anomaly Detection.
This repository holds the code and models for the paper Graph Pruning for Enumeration of Minimal Unsatisfiable Subsets, published at AISTATS2024
EDGE: Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling
This repository contains PyTorch implementation of the following paper: "Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation"
Onboarding info for hugheslab (HPC cluster, etc.)
Code for ICML 2024 paper "InterLUDE: Interactions between Labeled and Unlabeled Data to Enhance Semi-supervised Learning"
Kriging Convolutional Networks (KCN) in Tensoflow
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
code implementation for the paper "Exploiting Variable Correlation with Masked Modeling for Anomaly Detection in Time Series".
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.