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amoldalwai / watch-any-movie

Star 79

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 minify imdb-rating netflix video-streaming hacktoberfest video-spider free-movie-scripts watch-movies-avengers-infinity-war movie-streaming-website netflix-clone movie-streaming watch-movie 123-movies 123-movies-api react-movie-search movie-streaming-api webseries
  • Updated Aug 10, 2021
  • JavaScript

swap-253 / Recommender-Systems-Using-ML-DL-And-Market-Basket-Analysis

Star 8

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. Deployme…

movies deep-learning tensorflow imdb-rating embeddings matrix-factorization cosine-similarity lstm-neural-networks apriori-algorithm keras-tensorflow market-basket-analysis marketbasketanalysis apple-turicreate fast-api pywebio streamlit-webapp knn-recommenders
  • Updated Feb 11, 2024
  • Jupyter Notebook

north0n-FI / Analysing-IMDB-reviews-using-GloVe-and-LSTM

Star 7

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 an…

word-embeddings imdb-rating lstm keras-neural-networks glove-embeddings embedding-layer-keras
  • Updated Sep 27, 2018
  • Jupyter Notebook

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