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adadelta

Logistic Regression using Adadelta and Adagrad

apg

A lightweight accelerated proximal-gradient package for matlab

assurvey

Sources for algorithm selection for combinatorial search problems survey

awesome-deep-learning-papers

The most cited deep learning papers

awesome-deep-vision

A curated list of deep learning resources for computer vision

bpr

Bayesian Personalized Ranking

cofirank

CofiRank

collranking

deep-learning-papers

Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

dl-to-rank

Learning to Rank with Deep Neural Networks

dyad-config-rl

dyadranking-bilinpl-ga-tsp-experiment

dyra-net

Fashion-MNIST Image Classification with Dyra-Net

dyralib

fold

Deep learning with dynamic computation graphs in TensorFlow

ga-tsp-dataset

gru4rec

GRU4Rec is the cleaned & simplified implementation of the algorithm of the "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016. The code is stripped of features that we had found to be unhelpful in increasing accuracy.

hive-udfs

Collection of useful Scala-based Hive UDFs.

iliasvagrant

ILIAS Development Environment based on Vagrant and Puppet

ionic-gcm

An ionic app that uses the Google Cloud Messaging Platform for push notifications

lambdarank

an implementation of LambdaRank algorithm.

libol

Library for Online Learning algorithms

librec

LibRec: A Java Library for Recommender Systems, see

libsdca

Multiclass classification based on stochastic dual coordinate ascent

lightfm

A Python implementation of LightFM, a hybrid recommendation algorithm.

listnet

Implementation of the listwise Learning to Rank algorithm described in the paper by Zhe Cao, Tao Qin, Tie-Yan Liu, Ming-Feng Tsai, and Hang Li "Learning to rank: from pairwise approach to listwise approach"

logistic-mf

Logistic Matrix Factorization for Implicit Feedback Data. http://stanford.edu/~rezab/nips2014workshop/submits/logmat.pdf

metrics

Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave

ml-zsl