There are 1 repository under tv-script-generation topic.
Various implementations and projects on CNN, RNN, LSTM, GAN, etc
Generating the Simpsons TV scripts using RNNs and LSTMs. The scene is among homer simpson, moe szyslak, and barney gumble.
Udacity DLND project with Facebook PyTorch Challenge Scholarship the original repo can be found at https://github.com/udacity/deep-learning-v2-pytorch
使用 RNN 来生成你自己版本的《辛普森一家》剧集剧本。
Generated new TV scripts for Seinfeld using RNNs by training the model on Seinfeld dataset of scripts from 9 seasons. The Neural Network generated a new ,"fake" TV script, based on patterns it recognized in this training data.
PyTorch TV script generator.
Use RNN to generate new Seinfeld scripts
Generate your own Seinfeld TV scripts using Recurrent Neural Networks (RNNs)
Do you love Seinfield and wish it never ended. Check out this repo to create your own Seinfield scipt :cowboy_hat_face: Made with :heart: in Pytorch. Keep spreading love and laughter and do :star2: the project. Cheers!
This Repository consists of all deep learning projects which are Face Generation GAN, Bike sharing, Dog Breed Classifier, TV Script Generation.
Using RNN's on a Seinfeld dataset of scripts from 9 seasons to generate own Seinfeld TV scripts. The Neural Network will generate a new, "fake" TV script based on patterns it recognizes in this training data.
generate tv scripts via RNN
Generation of Simpsons tv scripts using Recurrent neural networks using Tensorflow.
A deep learning Project for the Udacity course "Deep Learning Nanodegree".
An RNN to generate TV scripts for a Simpsons episode
My solution to the Udacity project of training all Seinfeld Scripts in an RNN to predict a new script based on which character talks first
RNN written using pytorch to generate TV script
An RNN-based Neural Network that uses PyTorch to learn from a specified book or TV/film script and then generate text that appears to have come from the source
TV script generation using Recurrent Neural Networks in TensorFlow
Generate your own Seinfeld TV scripts using RNNs. The project is using a Seinfeld dataset of scripts from 9 seasons. The Neural Network which will be build will generate a new, "fake" TV script.
Making use of Recurrent Neural Networks (RNNs), the aim was to create a new Simpson’s TV script at Moe’s Tavern. I’ve used a part of Simpson’s dataset of scripts from 27 seasons.
This project generates Seinfeld TV scripts using RNNs.
A deep learning Project for the Udacity course "Deep Learning Nanodegree".
This project generates new tv script by learning old tv scripts by its own.
:tv: A project to demonstrate RNN in TV script generation
Using LSTMs to generate new TV scripts with PyTorch