clussificate

SNDHLP

A branch-and-price-and-cut algorithm for service network design and hub location problem

ALSRecommendation

Implicit feedback recommendation based on SPARK ALS Library

MultiRooming

init commit

OM-Researches-Analysis

Trends of OM research from 1997 to 2018

algorithmic-marketing-examples

Optimization models for enterprise use cases

clussificate

Config files for my GitHub profile.

DataAnalysis

ECHELON_INVENTORY

Transformations and heuristics to calculate echelon base stock levels for distribution systems.

STRATEGIC_SAFETY_INVENTORY

Approximations and heuristics for strategic safety stock positioning.

Deep_reinforcement_learning_Course

Implementations from the free course Deep Reinforcement Learning with Tensorflow

Exam

fastFM

fastFM: A Library for Factorization Machines

JPIC

add backorder env

Kaggle-Ensemble-Guide

Code for the Kaggle Ensembling Guide Article on MLWave

MultiRoomingExtensions

init

Probabilistic-Matrix-Factorization

Python Implementation of Probabilistic Matrix Factorization(PMF) Algorithm for building a recommendation system using MovieLens ml-100k | GroupLens dataset

python_web_scraping

PythonCases

Some cases include data analysis, data mining using python and R

PyTorchZeroToAll

Simple PyTorch Tutorials Zero to ALL!

R-cases

Recommendation-Engine-Hackathon

This repository contains solution for the Recommendation Design Hackathon hosted by Analytics Vidhya. I created a ALS based implicit feedback model for recommending three new problems to a user on a coding challenge website.

Recommender-System

Some algorithms about traditional and social recommendation.

RecQ

RecQ: A Python Framework for Recommender Systems (TensorFlow Supported)

Reinforcement-Learning-Implementation

Reinforcement Learning examples implementation and explanation

spark-gbtlr

Hybrid model of Gradient Boosting Trees and Logistic Regression (GBDT+LR) on Spark

SparkAlsImplicit

Spark ALS implicit & multi-tasking with Futures