anuragreddygv323

bayesian-machine-learning

Notebooks related to Bayesian methods for machine learning

notes

Resources to learn more about Machine Learning and Artificial Intelligence

feature-engineering-book

Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018

Algorithms-and-DS-Notes

My understanding about Algorithms and DS

awesome-2vec

Curated list of 2vec-type embedding models

awesome-fashion-ai

A repository to curate and summarise research papers related to fashion and e-commerce

awesome-interpretable-machine-learning

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

Deep-Listwise-Context-Model-for-Ranking-Refinement

A Tensorflow implementation of the Deep Listwise Context Model (DLCM) for ranking refinement.

efficient-query-expansion

Official repository of "Efficient and Effective Query Expansion for Web Search", Short Paper @ CIKM 2018

emnist_dl2prod

JuPyter Notebooks and Python Package for Deep Learning Model Exploration, Translation and Deployment

handong1587.github.io

innvestigate

A toolbox to iNNvestigate neural networks' predictions!

interleaving

A python library for conducting interleaving, which compares two or multiple rankers based on observed user clicks by interleaving their results.

LtR-Tutorial

Efficiency/Effectiveness Trade-offs in Learning to Rank

machine-learning-interview-questions

This repository is to prepare for Machine Learning interviews.

MCRec

Source code for KDD 2018 paper "Leverage Meta-path based Context for Top-N Recommendation with a Neural Co-Attention Model"

nlp

:memo: This repository recorded my NLP journey.

pwc

Papers with code. Sorted by stars. Updated weekly.

Reco-papers

Classic papers and resources on recommendation

recsys-toolbox

A set of recommender systems methods for the Recommender Systems Challenge 2017 in Politecnico di Milano.

roamresearch

RSPapers

Must-read papers on Recommender System.

sequeval

An offline evaluation framework for sequence-based recommender systems

spark-notebooks

Collection of useful notebooks to be used with the Spark Notebook (https://github.com/andypetrella/spark-notebook)

Unbiased-Learning-to-Rank-with-Unbiased-Propensity-Estimation

This is an implementation of the Dual Learning Algorithm with multi-layer feed-forward neural network for online unbiased learning to rank.

vec4ir

Word Embeddings for Information Retrieval

wide_deep

Wide and Deep Learning for CTR Prediction in tensorflow

WorldMachineLearningSummit_2018

Repository for the workshop on 1.21GWS world ml summit held in Dec 2018

xDeepFM

xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems