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Imdb Rating GitHub Repositories
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A tool to update the IMDB ratings for Plex libraries that contain movies/series and use the IMDB agent to receive ratings
Movie Ratings Synchronization with Python
IMDb + Auto + Unlimited Filter BoT
A Simple IMDb API for Python
A Netflix Clone App built using React js , Material UI & OMDb API that allows searching of 1000+ movies and provides information about their plot, IMDB rating, MetaScore, Genre, and Year in which it is published, along with high-quality audio and video streaming.
Movies and Series I've loved over the years, for the people with software development background, IT Engineers or general people who love movies
See IMDb and Rotten Tomatoes ratings directly on Netflix
Display IMDb or JF episode ratings in a heatmap-style grid on Jellyfin series pages using the Jellyfin JavaScript Injector. Drop-down menu to avoid spoilers. Linked to the episode page.
Import IMDb & Letterboxd Ratings To Plex Ratings
A python script that lets you check the IMDb rating, genre, cast etc of a movie with one click, without opening the browser.
Get IMDb ratings for movies showing up on TV |
IMDB's top 250 list scraper for nodejs
IMDb verilerini toplayarak en popüler filmleri ve türleri analiz edip gösteren prototip bir web projesi.
A modern, responsive movie and web series database app built with Next.js (React.js), featuring dynamic listings, detailed pages, and search functionality. Stay tuned for new features—follow for updates!
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.
APIs for fetching basic movie information from IMDB.
This python scripts retrieves the rating of a movie with its title
Using the IMDB data found in Keras here a few algorithms built with Keras. The source code is from Francois Chollet's book Deep learning with Python. The aim is to predict whether a review is positive or negative just by analyzing the text. Both self-created as well as pre-trained (GloVe) word embeddings are used. Finally there's a LSTM model and the accuracies of the different algorithms are compared. For the LSTM model I had to cut the data sets of 25.000 sequences by 80% to 5.000, since my laptop's CPU was not able to run the data crunching, making the model's not fully comparable.
Imdb python api to get movie details
No repository description provided.
Search movies....watch trailers.....see trendings and many more💖💖😎
Predicts the rating of movie using data from IMDB data set
Search movies and TV shows, get title details, pull cast & crew, and fetch trending movies from IMDb via a simple REST API. 5,000 free requests/month.
Exploratory analysis on the IMDB movie database
Discover, filter, and track what you watch. A vibe coded, self-hosted personal movie & TV tracker. It is an independent, non-commercial, open-source personal project.
Python Script to create IMDB database (.csv) for user's movie collection