vijayendra-g Goto Github PK

pytorch-lightning

The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

pytorch-tutorial-1

Build your neural network easy and fast

rabbit.js

Messaging in Node.JS made easy using RabbitMQ

rabbitmq-http

REST API for RabbitMQ, Write with Google Go(lang).

rabbitmq-tutorials

Tutorials for using RabbitMQ in various ways

racf

RACF (Recency Aware Collaborative Filtering) is the implementation of the "Recency Aware Collaborative Filtering for Next Basket Recommendation" original paper. which is a set of collaborative filtering approaches for solving the problem of predicting the Next Basket Recommendation.

rakuten-data-challenge

rating-prediction

Prediction of rating of items from Amazon product review dataset using latent factor model

reasoning-under-uncertainty

An Introduction to Probabilistic Programming in Python

recommendersystems

project RecSys Polimi

recommengine

A recommendation system for Amazon products using different data mining approaches and big data technologies

recsys

Builds a recommender system using TensorFlow

recsys-2016

Repository for Kaggle Recommender Systems Challenge @ PoliMi

recsys-challenge-2019

7th place solution: RecSys 2019/trivago Data Challenge

resume

Data Scientist + Developer with Background in Maths & Physics

road_lane_line_detection

Find lane lines on the road using Python and OpenCV, applying Canny edge detectors and Hough line transforms

rossmann-kaggle-udacity

2nd place solution in Rossmann Store Sales

rossmannstoresales

:moneybag: Predicting the sales of Rossmann drug stores through machine learning.

sample-churn-predictor

Sample for building a churn prediction model with GraphLab Create

santander-product-recommendation

2nd Place Solution of the Kaggle Competition - Santander Product Recommendation

santandercustomersatisfaction_kaggle

Code created during and after Kaggle's Santander Customer Satisfaction Prediction Challenge. Private LB: placed 64th out of 5236 participants

saxpy

Python implementation of Symbolic Aggregate approXimation

scikit-learn-videos

Jupyter notebooks from the scikit-learn video series

scipy_2015_sklearn_tutorial

Scikit-Learn tutorial material for Scipy 2015

search-relevance

Scripts used for my submission the Kaggle CrowdFlower Search Results Relevance Competition (https://www.kaggle.com/c/crowdflower-search-relevance). My final submission ultimately scored 0.69764 on the private leaderboard (Kappa Loss Function) which gave me a rank of 42 out of 1326 competitors.

searchengine

How to build an end to end search engine using elasticsearch and angularjs

seller-ranking

Ranking a store

seller-rating

Rating for a a store

sensor_outlier_detector

sensor data outlier detector