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

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.

使用 RNN 来生成你自己版本的《辛普森一家》剧集剧本。

Generate your own Seinfeld TV scripts using Recurrent Neural Networks (RNNs)

This Repository consists of all deep learning projects which are Face Generation GAN, Bike sharing, Dog Breed Classifier, TV Script Generation.

Do you love Seinfield and wish it never ended. Check out this repo to create your own Seinfield scipt 🤠 Made with ❤️ in Pytorch. Keep spreading love and laughter and do 🌟 the project. Cheers!

PyTorch TV script generator.

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.

Use RNN to generate new Seinfeld scripts

generate tv scripts via RNN

An RNN to generate TV scripts for a Simpsons episode

A deep learning Project for the Udacity course "Deep Learning Nanodegree".

RNN written using pytorch to generate TV script

A deep learning Project for the Udacity course "Deep Learning Nanodegree".

Using LSTMs to generate new TV scripts with PyTorch

This project generates new tv script by learning old tv scripts by its own.

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.