47 Open source projects that are alternatives of or similar to customer_churn_prediction

Examples of all Machine Learning Algorithm in Apache Spark

An End to End Customer Churn Prediction solution using AWS services.

An umbrella project for multiple implementations of model serving

Routines and data structures for using isarn-sketches idiomatically in Apache Spark

A library for factorization machines and polynomial networks for classification and regression in Python.

DeepTables: Deep-learning Toolkit for Tabular data

Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.

KDD17_FMG

🌊 FluRS: A Python library for streaming recommendation algorithms

Fwumious Wabbit, fast on-line machine learning toolkit written in Rust

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

some ctr model, implemented by PyTorch, such as Factorization Machines, Field-aware Factorization Machines, DeepFM, xDeepFM, Deep Interest Network

A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.

Attention,Factorization Machine, Deep Learning, Recommender System

fastFM: A Library for Factorization Machines

TensorFlow implementation of an arbitrary order Factorization Machine

Lightweight and Scalable framework that combines mainstream algorithms of Click-Through-Rate prediction based computational DAG, philosophy of Parameter Server and Ring-AllReduce collective communication.

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

Factorization Machine models in PyTorch

TenforFlow Implementation of Neural Factorization Machine

Some deep learning based recsys for open learning.

TensorFlow Implementation of Attentional Factorization Machine

Ytk-learn is a distributed machine learning library which implements most of popular machine learning algorithms(GBDT, GBRT, Mixture Logistic Regression, Gradient Boosting Soft Tree, Factorization Machines, Field-aware Factorization Machines, Logistic Regression, Softmax).

A developing recommender system in pytorch. Algorithm: KNN, LFM, SLIM, NeuMF, FM, DeepFM, VAE and so on, which aims to fair comparison for recommender system benchmarks

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

Tensorflow implementation of DeepFM variant that won 4th Place in Mercari Price Suggestion Challenge on Kaggle.

A parallel implementation of factorization machines based on Spark

No description or website provided.

#nowplaying-RS: Music Recommendation using Factorization Machines

Building recommender systems in Julia

TensorFlow template application for deep learning

Implementation of the paper "No Reference Image Quality Assessment in the Spatial Domain" by A Mittal et al. in OpenCV (using both C++ and Python)

Sparse learning in TensorFlow using data acquired from Spark.

基于LibSVM实现的验证码识别，通过对验证码图片进行二值化、去噪、切割等处理后，对每个字符进行识别。识别过程采用LibSVM来实现。可用于识别网站登录的验证码。

FFSVM stands for "Really Fast Support Vector Machine"

LIBSVM bindings for Julia

Showcase for using H2O and R for churn prediction (inspired by ZhouFang928 examples)

State of the Art Natural Language Processing

O'Reilly Book: [Data Algorithms with Spark] by Mahmoud Parsian

关注AI模型上线、模型部署

❄️ 🐳 Awesome tools and libs for AI, Deep Learning, Machine Learning, Computer Vision, Data Science, Data Analytics and Cognitive Computing that are baked in the oven to be Native on Kubernetes and Docker with Python, R, Scala, Java, C#, Go, Julia, C++ etc

Distributed least squares approximation (dlsa) implemented with Apache Spark

Machine Learning Course @ Santa Clara University

Movie review dataset Word2Vec & sentiment classification Zeppelin notebook

Spark Scala docker container sample for AWS testing - EKS & S3

Spark DataFrames for earth observation data

PMML scoring library for Spark as SparkML Transformer