Popular GitHub Repositories for Mf Als

spark tutorial for big data mining。包括app流量运营分析、als推荐、smote样本采样、RFM客户价值分群、AHP层次分析客户价值得分、手机定位数据商圈挖掘、马尔可夫智能邮件预测、时序预测、关联规则、推荐电影好友等。

:trident: Some recognized algorithms[Decision Tree, Adaboost, Perceptron, Clustering, Neural network etc. ] of machine learning and pattern recognition are implemented from scratch using python. Data sets are also included to test the algorithms.

Recommendation engine in Java. Based on an ALS algorithm (Apache Spark). Train a new model after N seconds.

A recommendation system for products using PySpark

Machine Learning and Deep Learning Course

Launched a distributed application using Spark and MLlib ALS recommendation engine to analyze a complex dataset of 10 million movie ratings from MovieLens.

An item-based recommender model that computes cosine similarity for each item pairs using the item factors matrix generated by Spark MLlib’s ALS algorithm and recommends top 5 items based on the selected item.

An hybrid Recommender using ALS and K-means using PySpark

Source code for the paper "Online speech synthesis using a chronically implanted brain-computer interface in an individual with ALS" by Angrick et al.

Python scripts that implement collaborative filtering using Matrix Factorization with Alternating Least Squares (MF-ALS) for hotels and restaurants, Restricted Boltzmann Machines (RBM) for attractions, and content-based filtering using cosine similarity for the "More Like This" feature.

A Diffusion Model which can reliably generate whole human SNP(Single Nucleotide Polymorphism) data.

In this work, we extend the FGSM method proposing multistep adversarial perturbation (MSAP) procedures to study the recommenders’ robustness under powerful methods. Letting fixed the perturbation magnitude, we illustrate that MSAP is much more harmful than FGSM in corrupting the recommendation performance of BPR-MF.

A pipeline that collects, preprocesses and labels raw user-item interaction data to build a recsys with collaborative filtering (SVD, ALS) and LTR (XGBoost ranking) methods

A model to recommend movies based on collaborative filtering (using ALS algorithm) and perform various analysis on the data.

A recommendation system created for H&M created with the help of EDA(Exploratory Data Analysis) and ALS (Alternative Least Squares) which optimizes a users recommendations taking into considerations an account`s view history and uses matrix optimization to give the best possible recommendations.

Wortweber ist ein sich in der Entwicklung befindendes Open-Source-Projekt, das Echtzeit-Sprachtranskription mit KI-Technologie erforscht. Es dient als Lern- und Experimentierplattform für Spracherkennung in Deutsch und Englisch.

Dieses Projekt ermöglicht die Erstellung einer konversativen Debatte (Pro vs. Contra) zu einem bestimmten Thema mithilfe von OpenAI's GPT-4, die anschließend in Sprache umgewandelt und als Audiodatei gespeichert wird.

A Primer for basic literacy development | Ein "Vorkurs" zur Alphabetisierung in Deutsch als Zweitsprache