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sumitsidana's Projects

gru4rec icon 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.

handson-ml icon handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

healthmonitoring icon healthmonitoring

This repository contains the code for our paper "Health Monitoring on Social Media over Time". Read the paper here: https://ieeexplore.ieee.org/abstract/document/8263414

heamy icon heamy

A set of useful tools for competitive data science.

hgru4rec icon hgru4rec

Code for our ACM RecSys 2017 paper "Personalizing Session-based Recommendation with Hierarchical Recurrent Neural Networks"

implicit icon implicit

Fast Python Collaborative Filtering for Implicit Feedback Datasets

interpret icon interpret

Fit interpretable models. Explain blackbox machine learning.

jmars icon jmars

Jointly Modelling Aspects, Ratings and Sentiments for Movie Recommendation (JMARS)

jrl icon jrl

Joint Representation Learning for Recommendation

jst icon jst

A C++ implementation of the Joint Sentiment-Topic (JST) Model.

lda4rec icon lda4rec

🧮 Matrix Factorization for Collaborative Filtering is just Solving an Adjoint Latent Dirichlet Allocation Model after All

lenskit icon lenskit

LensKit recommender toolkit (Michael's work-in-progress fork, feature branches may be rebased).

librec icon librec

LibRec: A Leading Java Library for Recommender Systems, see

lkpy icon lkpy

Some Python recommendation tools

meta-prod2vec icon meta-prod2vec

Repository for experiments with MetaProd2Vec and related algorithms.

metrics icon metrics

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

ml-from-scratch icon ml-from-scratch

Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.

nerve icon nerve

This repository contains the code for "Representation Learning and Pairwise Ranking for Implicit Feedback in Recommendation Systems". Read the paper here: https://arxiv.org/abs/1705.00105

nlp-progress icon nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

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