Website which uses Deep Learning to generate horror stories.

Overview

Logo

Creepypasta - Text Generator

Website which uses Deep Learning to generate horror stories.

View DemoView Website RepoReport BugRequest Feature

 



About The Project

Creepypasta Website Demo

Creepypasta Website Demo

There are two parts to the project. One is the Deep Learning model which generates the text. The other is the website which uses the model to generate text.

I have used Deep Learning model to generate text. It is a Neural Network which uses Recurrent Neural Network to generate text.

I have hosted a model on Algorithmia and used it's API to generate text.

Built With

What I learned

  • How to clear raw data to use it for training.
  • How to use Deep Learning model to generate text.
  • How to use Algorithmia to generate text.
  • How to use Vercel to deploy a website.
  • How to use TensorFlow to train a model.
  • How to train a model incrementally.
  • How to handle large data.
  • How to use Machine Learning model to generate text and display it on the website.

Getting Started

To train model follow below steps :

Prerequisites

  • Reddit API Key

    Go to https://www.reddit.com/prefs/apps/
    
  • Algorithmia Account

    Go to https://algorithmia.com/
    
  • Optional:

    1. Wandb Account and Wandb API Key to track training
    Go to https://wandb.com/
    
    1. Firebase Account to upload files while scrapping reddit
    To get firebase-adminsdk.json, goto Firebase Console, click on the Gear icon besides Project Overview and select Project Settings -> Service accounts -> Generate new private key.
    
    
    1. Data Sources

    Note: If you don't have a Wandb account, remove Wandb code from the scripts. And if you don't have a Firebase account, remove Firebase code from the scripts.

Installation

Roadmap

See the open issues for a list of proposed features (and known issues).

License

Distributed under the MIT License. See LICENSE for more information.

Contact

Dhairya Sharma - @dhairya_0907 - [email protected]

Project Github Link: https://github.com/dhairya0907/Creepypasta-Text-Generator

Project Web Application Link: https://creepypasta-demo.vercel.app

You might also like...
This solves the autonomous driving issue which is supported by deep learning technology. Given a video, it splits into images and predicts the angle of turning for each frame.
This solves the autonomous driving issue which is supported by deep learning technology. Given a video, it splits into images and predicts the angle of turning for each frame.

Self Driving Car An autonomous car (also known as a driverless car, self-driving car, and robotic car) is a vehicle that is capable of sensing its env

馃摎 A collection of all the Deep Learning Metrics that I came across which are not accuracy/loss.

馃摎 A collection of all the Deep Learning Metrics that I came across which are not accuracy/loss.

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

This is the Vowpal Wabbit fast online learning code. Why Vowpal Wabbit? Vowpal Wabbit is a machine learning system which pushes the frontier of machin

Deep learning (neural network) based remote photoplethysmography: how to extract pulse signal from video using deep learning tools

Deep-rPPG: Camera-based pulse estimation using deep learning tools Deep learning (neural network) based remote photoplethysmography: how to extract pu

deep-table implements various state-of-the-art deep learning and self-supervised learning algorithms for tabular data using PyTorch.
deep-table implements various state-of-the-art deep learning and self-supervised learning algorithms for tabular data using PyTorch.

deep-table implements various state-of-the-art deep learning and self-supervised learning algorithms for tabular data using PyTorch.

Time-series-deep-learning - Developing Deep learning LSTM, BiLSTM models, and NeuralProphet for multi-step time-series forecasting of stock聽price.
Time-series-deep-learning - Developing Deep learning LSTM, BiLSTM models, and NeuralProphet for multi-step time-series forecasting of stock聽price.

Stock Price Prediction Using Deep Learning Univariate Time Series Predicting stock price using historical data of a company using Neural networks for

FTIR-Deep Learning - FTIR Deep Learning With Python

CANDIY-spectrum Human analyis of chemical spectra such as Mass Spectra (MS), Inf

 Deep Learning: Architectures & Methods Project: Deep Learning for Audio Super-Resolution
Deep Learning: Architectures & Methods Project: Deep Learning for Audio Super-Resolution

Deep Learning: Architectures & Methods Project: Deep Learning for Audio Super-Resolution Figure: Example visualization of the method and baseline as a

This project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn to read tape. The project is dedicated to hero in life great Jesse Livermore.

Reinforcement-trading This project uses Reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can

Releases(v1.0.0)
  • v1.0.0(Jul 25, 2021)

    This Release is a website which uses Deep Learning to generate horror stories.

    You can access latest release on https://creepypasta-demo.vercel.app/

    Source code(tar.gz)
    Source code(zip)
AnimationKit: AI Upscaling & Interpolation using Real-ESRGAN+RIFE

ALPHA 2.5: Frostbite Revival (Released 12/23/21) Changelog: [ UI ] Chained design. All steps link to one another! Use the master override toggles to s

87 Nov 16, 2022
Visual Tracking by TridenAlign and Context Embedding

Visual Tracking by TridentAlign and Context Embedding (TACT) Test code for "Visual Tracking by TridentAlign and Context Embedding" Janghoon Choi, Juns

Janghoon Choi 32 Aug 25, 2021
Website which uses Deep Learning to generate horror stories.

Creepypasta - Text Generator Website which uses Deep Learning to generate horror stories. View Demo 路 View Website Repo 路 Report Bug 路 Request Feature

Dhairya Sharma 5 Oct 14, 2022
Python Single Object Tracking Evaluation

pysot-toolkit The purpose of this repo is to provide evaluation API of Current Single Object Tracking Dataset, including VOT2016 VOT2018 VOT2018-LT OT

348 Dec 22, 2022
StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators

StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators [Project Website] [Replicate.ai Project] StyleGAN-NADA: CLIP-Guided Domain Adaptation

992 Dec 30, 2022
Emulation and Feedback Fuzzing of Firmware with Memory Sanitization

BaseSAFE This repository contains the BaseSAFE Rust APIs, introduced by "BaseSAFE: Baseband SAnitized Fuzzing through Emulation". The example/ directo

Security in Telecommunications 138 Dec 16, 2022
A project studying the influence of communication in multi-objective normal-form games

Communication in Multi-Objective Normal-Form Games This repo consists of five different types of agents that we have used in our study of communicatio

Willem R枚pke 0 Dec 17, 2021
Like ThreeJS but for Python and based on wgpu

pygfx A render engine, inspired by ThreeJS, but for Python and targeting Vulkan/Metal/DX12 (via wgpu). Introduction This is a Python render engine bui

139 Jan 07, 2023
An official PyTorch implementation of the TKDE paper "Self-Supervised Graph Representation Learning via Topology Transformations".

Self-Supervised Graph Representation Learning via Topology Transformations This repository is the official PyTorch implementation of the following pap

Hsiang Gao 2 Oct 31, 2022
Randstad Artificial Intelligence Challenge (powered by VGEN). Soluzione proposta da Stefano Fiorucci (anakin87) - primo classificato

Randstad Artificial Intelligence Challenge (powered by VGEN) Soluzione proposta da Stefano Fiorucci (anakin87) - primo classificato Struttura director

Stefano Fiorucci 1 Nov 13, 2021
Generating images from caption and vice versa via CLIP-Guided Generative Latent Space Search

CLIP-GLaSS Repository for the paper Generating images from caption and vice versa via CLIP-Guided Generative Latent Space Search An in-browser demo is

Federico Galatolo 172 Dec 22, 2022
Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks

MGANs Training & Testing code (torch), pre-trained models and supplementary materials for "Precomputed Real-Time Texture Synthesis with Markovian Gene

290 Nov 15, 2022
Adversarial Texture Optimization from RGB-D Scans (CVPR 2020).

AdversarialTexture Adversarial Texture Optimization from RGB-D Scans (CVPR 2020). Scanning Data Download Please refer to data directory for details. B

Jingwei Huang 153 Nov 28, 2022
Pytorch implementation of the paper DocEnTr: An End-to-End Document Image Enhancement Transformer.

DocEnTR Description Pytorch implementation of the paper DocEnTr: An End-to-End Document Image Enhancement Transformer. This model is implemented on to

Mohamed Ali Souibgui 74 Jan 07, 2023
A chemical analysis of lipophilicities & molecule drawings including ML

A chemical analysis of lipophilicity & molecule drawings including a bit of ML analysis. This is a simple project that includes two Jupyter files (one

Aurimas A. Naus臈das 7 Nov 22, 2022
A bare-bones Python library for quality diversity optimization.

pyribs Website Source PyPI Conda CI/CD Docs Docs Status Twitter pyribs.org GitHub docs.pyribs.org A bare-bones Python library for quality diversity op

ICAROS 127 Jan 06, 2023
This repo contains the code for paper Inverse Weighted Survival Games

Inverse-Weighted-Survival-Games This repo contains the code for paper Inverse Weighted Survival Games instructions general loss function (--lfn) can b

3 Jan 12, 2022
Wordle Env: A Daily Word Environment for Reinforcement Learning

Wordle Env: A Daily Word Environment for Reinforcement Learning Setup Steps: git pull [email&#

2 Mar 28, 2022
Implementation of paper "DCS-Net: Deep Complex Subtractive Neural Network for Monaural Speech Enhancement"

DCS-Net This is the implementation of "DCS-Net: Deep Complex Subtractive Neural Network for Monaural Speech Enhancement" Steps to run the model Edit V

Jack Walters 10 Apr 04, 2022
Trading environnement for RL agents, backtesting and training.

TradzQAI Trading environnement for RL agents, backtesting and training. Live session with coinbasepro-python is finaly arrived ! Available sessions: L

Tony Denion 164 Oct 30, 2022