Popular GitHub Repositories for Rating

Python based Graph Propagation algorithm, DeepWalk to evaluate and compare preference propagation algorithms in heterogeneous information networks from user item relation ship.

Anomaly Detection on Time-Evolving Streams in Real-time. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.

高性能足球数据分析工具包：抓取数据、模拟比赛、排名球队，并更明智地下注 | pena.lt/y/blog 提供支持

The collection of papers about recommender system

Face/Beauty Rating with both the traditional ML approaches and Convolutional Neural Network Approach

Movie Recommendation Chatbot provides information about a movie like plot, genre, revenue, budget, imdb rating, imdb links, etc. The model was trained with Kaggle’s movies metadata dataset. To give a recommendation of similar movies, Cosine Similarity and TFID vectorizer were used. Slack API was used to provide a Front End for the chatbot. IBM Watson was used to link the Python code for Natural Language Processing with the front end hosted on Slack API. Libraries like nltk, sklearn, pandas and nlp were used to perform Natural Language Processing and cater to user queries and responses.

An attempt at creating a neural network to guess a player's ELO based on their chess games/moves.

Hepsiburada review/comment and rating scraper. Turkish text dataset creator for data science and NLP projects. ?

[EMNLP2019] Rethinking Attribute Representation and Injection for Sentiment Classification

[ACL2018] Cold-Start Aware User and Product Attention for Sentiment Classification

Moody's Bond Rating Classifier and USPHCI Economic Activity Forecast Modeling

Product Rating system using sentiment analysis of text reviews.

The system deletes fake reviews on products and rates a product automatically based on customer reviews

Official implementation of Better Prevent than Tackle: Valuing Defense in Soccer Based on Graph Neural Networks

A probabilistic player rating system for Counter Strike: Global Offensive, powered by machine learning

State-of-The-Art Rating-based RECOmmendation system: pytorch lightning implementation

This repository consists of collaborative filtering Recommender systems like Similarity Recommenders, KNN Recommenders, using Apple's Turicreate, A matrix Factorization system from scratch and a Deep Learning Recommender System which learns using embeddings. Besides this Market Basket Analysis using Apriori Algorithm has also been done. Deployment of Embedding Based Recommender Systems have also been done on local host using Streamlit, Fast API and PyWebIO.

The AI story scale (AISS): A human rating scale for texts written with generative language models.

Prompt Master and Prompt Master Pro are free Power Apps for gamifying Microsoft 365 Copilot through prompt rating challenges. Prompt Master is designed for excitement events/promptathons, while Prompt Master Pro enables ongoing use. Both let players compete to craft creative prompts, using Azure OpenAI to rate submissions and provide scores.

"movies-rating" is a recommendation system project that leverages distributed frameworks. Which includes services such as Hadoop Namenode, Hadoop Datanode, Spark Master, Spark Worker, and Redis.