Using Hotel Data to predict High Value And Potential VIP Guests

Last update: Feb 14, 2022

Related tags

Overview

Description

Using hotel data and AI to predict high value guests and potential VIP guests.

Hotel can leverage on prediction resutls to run more effective email marketing campaign, focus on the right target customers with only limited resources, and deliver better customer experiences.

Technology stack

Web/Frontend

Angular 11
Graphql
Lib: amchart, material, foundation

Server/Backend

Spring boot 2
graphql-java 11
Lib: graphql-java-tool, log4j, POI, commons-io, httpclient

AI Services

Python 3.8
Lib: Pandas, Featuretools, Scikit-learn, Numpy

Architecture

AI Pipeline Explanation

Demo

Video demo

Deployment

docker-compose up --build -d

Contributors

_{Duy Nguyen}

_{Hien Cao}

_{Quoc Nguyen}

_{Hai Vo}

_{Minh Nguyen}

_{Hoang Anh Nguyen}

MIT

Owner

HCG

GitHub Repository

Revealing and Protecting Labels in Distributed Training

0 Nov 09, 2022

Custom implementation of Corrleation Module

Pytorch Correlation module this is a custom C++/Cuda implementation of Correlation module, used e.g. in FlowNetC This tutorial was used as a basis for

361 Dec 12, 2022

Pre-trained model, code, and materials from the paper "Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation" (MICCAI 2019).

Adaptive Segmentation Mask Attack This repository contains the implementation of the Adaptive Segmentation Mask Attack (ASMA), a targeted adversarial

53 Jul 04, 2022

DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision

The Official PyTorch Implementation of DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision

3 Oct 15, 2021

Neurolab is a simple and powerful Neural Network Library for Python

Neurolab Neurolab is a simple and powerful Neural Network Library for Python. Contains based neural networks, train algorithms and flexible framework

152 Dec 06, 2022

PyTorch implementation of a collections of scalable Video Transformer Benchmarks.

PyTorch implementation of Video Transformer Benchmarks This repository is mainly built upon Pytorch and Pytorch-Lightning. We wish to maintain a colle

156 Jan 08, 2023

Official Pytorch and JAX implementation of "Efficient-VDVAE: Less is more"

The Official Pytorch and JAX implementation of "Efficient-VDVAE: Less is more" Arxiv preprint Louay Hazami · Rayhane Mama · Ragavan Thurairatn

144 Dec 23, 2022

Self-Adaptable Point Processes with Nonparametric Time Decays

NPPDecay This is our implementation for the paper Self-Adaptable Point Processes with Nonparametric Time Decays, by Zhimeng Pan, Zheng Wang, Jeff M. P

2 Sep 24, 2022

PyTorch implementation of "Conformer: Convolution-augmented Transformer for Speech Recognition" (INTERSPEECH 2020)

PyTorch implementation of Conformer: Convolution-augmented Transformer for Speech Recognition. Transformer models are good at capturing content-based

565 Jan 04, 2023

Hummingbird compiles trained ML models into tensor computation for faster inference.

Hummingbird Introduction Hummingbird is a library for compiling trained traditional ML models into tensor computations. Hummingbird allows users to se

3.1k Dec 30, 2022

DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference

DeeBERT This is the code base for the paper DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference. Code in this repository is also available

132 Nov 14, 2022

Image-Scaling Attacks and Defenses

Image-Scaling Attacks & Defenses This repository belongs to our publication: Erwin Quiring, David Klein, Daniel Arp, Martin Johns and Konrad Rieck. Ad

163 Nov 21, 2022

A selection of State Of The Art research papers (and code) on human locomotion (pose + trajectory) prediction (forecasting)

A selection of State Of The Art research papers (and code) on human trajectory prediction (forecasting). Papers marked with [W] are workshop papers.

40 Nov 18, 2022

This repository contains the code used for the implementation of the paper "Probabilistic Regression with HuberDistributions"

Public_prob_regression_with_huber_distributions This repository contains the code used for the implementation of the paper "Probabilistic Regression w

1 Dec 04, 2021

SuperSonic, a new open-source framework to allow compiler developers to integrate RL into compilers easily, regardless of their RL expertise

Automating reinforcement learning architecture design for code optimization. Che

113 Nov 28, 2022

EEGEyeNet is benchmark to evaluate ET prediction based on EEG measurements with an increasing level of difficulty

Introduction EEGEyeNet EEGEyeNet is a benchmark to evaluate ET prediction based on EEG measurements with an increasing level of difficulty. Overview T

23 Dec 22, 2022