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gflownet

Generative Flow Networks

halflife-regression

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

itemresponsetrees

IR-Tree Modeling in Mplus or mirt

keras

R Interface to Keras

kruschke-doing_bayesian_data_analysis

John K. Kruschke's Doing Bayesian Data Analysis: A Tutorial with R and BUGS

lime

Lime: Explaining the predictions of any machine learning classifier

machinelearning_python

机器学习算法python实现

mathematics_conjectures

miscellaneous-r-code

Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. Now almost entirely superseded by the models-by-example repo.

mlmania

Helper functions and dependencies for an MLM class I teach

mlwr

Machine Learning with R

modelselection

Tutorial on model assessment, model selection and inference after model selection

multimodal-deep-learning

This repository contains various models targetting multimodal representation learning, multimodal fusion for downstream tasks such as multimodal sentiment analysis.

multimodal_routing

ncme2022

This is a repo for NCME2022

ncov

Nextstrain build for novel coronavirus (nCoV)

ncov2019

query stats of infected coronavirus cases

ncvreg

Regularization paths for SCAD- and MCP-penalized regression models

nlp_tutorial

Working through Kaggle NLP Tutorial

openfold

Trainable PyTorch reproduction of AlphaFold 2

package-tao

Composer packages to build TAO product

packageskeletonforr

A package skeleton for starting an R package

pca-versus-ae

Dimensionality Reduction via PCA vs Autoencoder

pclean

A domain-specific probabilistic programming language for scalable Bayesian data cleaning

php-src

The PHP Interpreter

polca

Polytomous Variable Latent Class Analysis (R package)

procdata

proseminar-2019-02

Example analysis of map validation for EPSY 896

pyldavis

Python library for interactive topic model visualization. Port of the R LDAvis package.