Maciej Kula

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

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. TeX

python-rustlearn. Calling rustlearn from Python

explicit-vs-implicit. An experiment on explicit vs implicit feedback recommenders

Deep-Learning-for-Recommendation-Systems. This repository contains Deep Learning based articles , paper and repositories for Recommender Systems

fizzbuzz. A FizzBuzz solver using a Rust autodifferentiation library.

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

dynarray. Dynamic Numpy arrays

dictionarylearning. Online learning of sparse dictionaries

hugo-blog. Rust

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

lightfm. Python

list_of_recommender_systems. A List of Recommender Systems and Resources

BetaJS. Beta distribution probability density function (PDF) for JavaScript

pytorch. Tensors and Dynamic neural networks in Python with strong GPU acceleration

sbr-sys. Rust

spotlight-recipe. Conda recipes for Spotlight

blas_cython. Python

fictional-octo-chainsaw.

sketchy. Python

rpforest. It is a forest of random projection trees

wheedle. Rust

ann-benchmarks. Benchmarks of approximate nearest neighbor libraries in Python

go-mode.el. Emacs mode for the Go programming language

seq-to-set.

ndarray-npy. Simple serialization of ndarray's arrays in Rust into NumPy's .npy format.

rust-ndarray. ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations

hugo-xmin. eXtremely Minimal Hugo theme: about 150 lines of code in total, including HTML and CSS

matrix-toolkits-java. Java linear algebra library powered by BLAS and LAPACK

lightfm_datasets. Datasets for the LightFM package

web2day. HTML