Popular GitHub Repositories for Movies

This repository is a list of machine learning libraries written in Rust. It's a compilation of GitHub repositories, blogs, books, movies, discussions, papers, etc. ?

Sample AI movies app built with ? Ion

Seth's AI Tools: A Unity based front end that uses ComfyUI and LLMs to create stories, images, movies, quizzes and posters

基于知识图谱的电影问答系统。 This is a simple question answering and recommender system on movies (based on Knowledge Graph).

Classify movie posters by genre

??An AI-powered app that recommends movies based on the user's emotional state.

基于知识图谱的电影智能问答。neo4j构建电影图谱，spark ml完成问答意图分类，将问答语句转为cypher查询语句完成匹配查询。

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.

The objective of this project is to scarp the data from IMDb website and form an analysis that will help data analyst or production company to decide how they are going to proceed with making a new movie, second is to form a model to predict what are the sentiments of movies based on user reviews.

Generate subtitles for long movies / podcasts with OpenAI Whisper API.

Multivoice: Enhance your foreign-language movie and TV show experience with personalized dubbed versions. Our project uses voice cloning and TTS to deliver natural and engaging dubbed dialogue for a seamless viewing adventure.

A simple movie recommendation api using apache mahout machine learning library.

This website applies a recommendation system and continuous learning.

Machine Learning Algorithms to predict overall movie gross using IMDB dataset from kaggle

An experiment with movie scenes and contrastive learning

Movie Recommendation System based on machine learning concepts

Vecna is a Python chatbot which recommends songs and movies depending upon your feelings

Project on how to predict sentiment on movies review lectured by Andrew Trask.

Space Model framework that allows for maintaining generalizability, and enhances the performance on the downstream task by utilizing task-specific context attribution. It is an external LLM layer, that improves accuracy in classification task for multiple datasets, such as HateXplain, IMDB movies reviews and more.

In this tutorial, we are going to build a Restricted Boltzmann Machine using TensorFlow that will give us recommendations based on movies that have been watched already. The datasets we are going to use are acquired from GroupLens and contains movies, users, and movie ratings by these users.