antaud

antaud's Stars

• AdeboyeML/Film_Script_Analysis

  The aim of this project is to provide detailed insights into different movies analyzed focusing on the characters, their dialogues, scene locations, emotional and sentiment analysis of the whole movie and the individual characters, character's interaction with one another and finally gender distribution in the each movie analyzed.

  Language:Jupyter Notebook4312

• Miiha/FilmAnalyzerKit

  Collection of tools to extract features from film material.

  Language:Python392

• tin2tin/Blender_Screenwriter

  Blender add-on for writing screenplays and convert them directly into timed storyboards.

  Language:Python19320

• qaixerabbas/youtube-frame-capture

  Python cli script to download YouTube video frames without downloading videos

  Language:Python212

• Niketkumardheeryan/ML-CaPsule

  ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.

  Language:Jupyter Notebook421353

• nourGhribi/BlockbusterMovies

  Exploratory data analysis of TMDB5000 movies data and machine learning model to predict movies revenues and ratings.

  Language:Jupyter Notebook43

• nickmitch21/TMDB-Box-Office-Prediction

  Python project employing machine learning to predict revenue for movies using Kaggle data from the since-concluded "TMDb Box Office Prediction" Playground Prediction Competition.

  Language:Jupyter Notebook21

• zz400/Trailer_Miner

  Movie box office prediction based on trailer comments on YouTube.

  Language:Jupyter Notebook26

• kuberkaul/SentimentAnalysis-MovieReviews

  The projects takes a number of movie reviews from http://www.cs.cornell.edu/people/pabo/movie-review-data/ (polarity dataset v2.0 and an independent dataset) and using SVM, Naive Bayes, KNN algorithms analysis the sentiment behind that review to being either positive or negative. The prediction is then compared to the actual sentiment behind the review and higher precision is targeted between all three algorithm. The research is then followed by a technical paper.

  Language:C1010

• sandeep-krishnamurthy/MovieSuccessPrediction

  A machine learning project to predict if a movie is going to be a blockbuster or flop. In this project we aim to collect data from various sources like Twitter and Youtube comments, and perform classification of postivity of these tweets and comments. Our model uses these values to predict success of a movie in the scale of 1 to 5, where 5 being blockbuster and 1 being flop. Various classification algorithms like SVM, Naive Bayes, Maximum Entropy are implemented and accuracy is compared. We uses Python as primary language of implementation.

  Language:Python139

• anujvyas/Movie-Genre-Prediction-Deployment

  Language:HTML4029

• sundeepblue/movie_rating_prediction

  Predict movie's IMDB rating

  Language:Python192100

• yulunzhang/video-enhancement

  A list of resources for video enhancement, including video super-resolutio, interpolation, denoising, compression artifact removal et al..

  57474

• sergeytulyakov/mocogan

  MoCoGAN: Decomposing Motion and Content for Video Generation

  Language:Python581114

• lyh-18/TCVC-Temporally-Consistent-Video-Colorization

  Temporally Consistent Video Colorization with Deep Feature Propagation and Self-regularization Learning

  Language:Jupyter Notebook4713

• JingyunLiang/VRT

  VRT: A Video Restoration Transformer (official repository)

  Language:Python1.4k133

• ericsujw/InstColorization

  Language:Jupyter Notebook712151

• snap-research/articulated-animation

  Code for Motion Representations for Articulated Animation paper

  Language:Jupyter Notebook1.2k354

• emilwallner/Coloring-greyscale-images

  Coloring black and white images with deep learning.

  Language:Python1k224

• sindresorhus/awesome

  😎 Awesome lists about all kinds of interesting topics

  339k28.1k