maciejkula/explicit-vs-implicit

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MIT License
Created over 6 years ago
Updated over 1 year ago

maciejkula/explicit-vs-implicit

maciejkula

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An experiment on explicit vs implicit feedback recommenders

spotlight

Deep recommender models using PyTorch.

glove-python

Toy Python implementation of http://www-nlp.stanford.edu/projects/glove/

rustlearn

Machine learning crate for Rust

triplet_recommendations_keras

An example of doing MovieLens recommendations using triplet loss in Keras

Jupyter Notebook

wyrm

Autodifferentiation package in Rust.

sbr-go

Recommender systems for Go

sbr-rs

Deep recommender systems for Rust

netrex

Neural network recommendation models in PyTorch

recommender_datasets

A common format and repository for various recommender datasets.

mixture

python-rustlearn

Calling rustlearn from Python

binge

Recommendation models that use binary rather than floating point operations at prediction time.

fizzbuzz

A FizzBuzz solver using a Rust autodifferentiation library.

dictionarylearning

Online learning of sparse dictionaries

dynarray

Dynamic Numpy arrays

hugo-blog

BayesianTestJS

Rudimentary Bayesian Beta-Bernoulli A/B testing inference and visualization code.

BetaJS

Beta distribution probability density function (PDF) for JavaScript

sbr-sys

spotlight-recipe

Conda recipes for Spotlight

blas_cython

lightfm_datasets

Datasets for the LightFM package

sketchy

wheedle

fictional-octo-chainsaw