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allrank

allRank is a framework for training learning-to-rank neural models based on PyTorch.

anomaly-transformer

About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_

beta3_irt

Source code of $\beta^3$-IRT(https://arxiv.org/abs/1903.04016)

cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

das3h

DAS3H: Modeling Student Learning and Forgetting for Optimally Scheduling Distributed Practice of Skills

dppy

Python toolbox for sampling Determinantal Point Processes

edm-countdown

gpirt

Provides an MCMC sampler and related tools for a Gaussian Process IRT model

har_datasets

A repository for unified analysis of accelerometer-based human activity recognition.

learner-performance-prediction

Simple and performant implementations of learner performance prediction algorithms.

lightfm

A Python implementation of LightFM, a hybrid recommendation algorithm.

ml-project

njtwomey.github.io

poppy

A Point Process Toolbox Based on PyTorch

py-irt

Bayesian IRT models in Python

pytorch-fm

Factorization Machine models in PyTorch

pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

rankfm

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

recommender_metrics

This is a very basic package with implementions of several popular recommendation metrics.

spotlight

Deep recommender models using PyTorch.

ts2vec

A universal time series representation learning framework

variational-item-response-theory-public

A PyTorch implementation of "Variational Item Response Theory: Fast Accurate, and Expressive"