Text-Based zombie apocalyptic decision-making game in Python

Overview

Inspiration

We shared university first year game coursework.[to gauge previous experience and start brainstorming] Adapted a particular nuclear fallout theme game. Seoul 2033 https://play.google.com/store/apps/details?id=com.banjigamaes.seoul2033_global&hl=en_CA&gl=US

What it does

Text-Based zombie apocalyptic decision-making game. Programmed in Python.

How we built it

We made a flowchart t We coded based on Python. Used github for sharing code and version control.

Challenges we ran into

-We had some problems sharing our code at the beginning. We used Git on GitHub to share our code. Well updated

-Not everyone knew how to code in python and had some problem with using git We helped each other by sharing our screens online.

-The GitHub website was not working for a while. Everyone had their version of the game on their computer and we had saved some of our code on Google Document.

Accomplishments that we're proud of

We have a brilliant and bug-free game with a vivid story line. It has plot-twists and stunning and endings Wonderful 10/10

“Ended world hunger and racism” -Amin “Brilliant story, smooth gameplay and takes its time” -Minjun “Better than Zelda” -Frenciel “The game I never knew I wanted, 5 stars” -Dill

What we learned

-Skills for Python coding -Time management -More experience on GitHub -skills to use Sketchbook

What's next for Zombie Fallout

General donation about 1million USD Features that will be added to Zombie Fallout

  • Music and sound effects
  • Pictures!!!
  • More levels and dates
  • Voice acting
Owner
Amin Sabbagh
Amin Sabbagh
Code for hyperboloid embeddings for knowledge graph entities

Implementation for the papers: Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs, Nurendra Choudhary, Nikhil Rao,

30 Dec 10, 2022
FactSumm: Factual Consistency Scorer for Abstractive Summarization

FactSumm: Factual Consistency Scorer for Abstractive Summarization FactSumm is a toolkit that scores Factualy Consistency for Abstract Summarization W

devfon 83 Jan 09, 2023
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Fairseq(-py) is a sequence modeling toolkit that allows researchers and developers to train custom models for translation, summarization, language mod

13.2k Jul 07, 2021
내부 작업용 django + vue(vuetify) boilerplate. 짠 하면 돌아감.

Pocket Galaxy 아주 간단한 개인용, 혹은 내부용 툴을 만들어야하는데 이왕이면 웹이 편하죠? 그럴때를 위해 만들어둔 django와 vue(vuetify)로 이뤄진 boilerplate 입니다. 각 폴더에 있는 설명서대로 실행을 시키면 일단 당장 뭔가가 돌아갑니

Jamie J. Seol 16 Dec 03, 2021
An assignment on creating a minimalist neural network toolkit for CS11-747

minnn by Graham Neubig, Zhisong Zhang, and Divyansh Kaushik This is an exercise in developing a minimalist neural network toolkit for NLP, part of Car

Graham Neubig 63 Dec 29, 2022
Natural Language Processing Best Practices & Examples

NLP Best Practices In recent years, natural language processing (NLP) has seen quick growth in quality and usability, and this has helped to drive bus

Microsoft 6.1k Dec 31, 2022
💫 Industrial-strength Natural Language Processing (NLP) in Python

spaCy: Industrial-strength NLP spaCy is a library for advanced Natural Language Processing in Python and Cython. It's built on the very latest researc

Explosion 24.9k Jan 02, 2023
Findings of ACL 2021

Assessing Dialogue Systems with Distribution Distances [arXiv][code] We propose to measure the performance of a dialogue system by computing the distr

Yahui Liu 16 Feb 24, 2022
Yuqing Xie 2 Feb 17, 2022
Binary LSTM model for text classification

Text Classification The purpose of this repository is to create a neural network model of NLP with deep learning for binary classification of texts re

Nikita Elenberger 1 Mar 11, 2022
端到端的长本文摘要模型(法研杯2020司法摘要赛道)

端到端的长文本摘要模型(法研杯2020司法摘要赛道)

苏剑林(Jianlin Su) 334 Jan 08, 2023
ConferencingSpeech2022; Non-intrusive Objective Speech Quality Assessment (NISQA) Challenge

ConferencingSpeech 2022 challenge This repository contains the datasets list and scripts required for the ConferencingSpeech 2022 challenge. For more

21 Dec 02, 2022
Augmenty is an augmentation library based on spaCy for augmenting texts.

Augmenty: The cherry on top of your NLP pipeline Augmenty is an augmentation library based on spaCy for augmenting texts. Besides a wide array of high

Kenneth Enevoldsen 124 Dec 29, 2022
A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).

Rebiber: A tool for normalizing bibtex with official info. We often cite papers using their arXiv versions without noting that they are already PUBLIS

(Bill) Yuchen Lin 2k Jan 01, 2023
News-Articles-and-Essays - NLP (Topic Modeling and Clustering)

NLP T5 Project proposal Topic Modeling and Clustering of News-Articles-and-Essays Students: Nasser Alshehri Abdullah Bushnag Abdulrhman Alqurashi OVER

2 Jan 18, 2022
Implementation of legal QA system based on SentenceKoBART

LegalQA using SentenceKoBART Implementation of legal QA system based on SentenceKoBART How to train SentenceKoBART Based on Neural Search Engine Jina

Heewon Jeon(gogamza) 75 Dec 27, 2022
문장단위로 분절된 나무위키 데이터셋. Releases에서 다운로드 받거나, tfds-korean을 통해 다운로드 받으세요.

Namuwiki corpus 문장단위로 미리 분절된 나무위키 코퍼스. 목적이 LM등에서 사용하기 위한 데이터셋이라, 링크/이미지/테이블 등등이 잘려있습니다. 문장 단위 분절은 kss를 활용하였습니다. 라이선스는 나무위키에 명시된 바와 같이 CC BY-NC-SA 2.0

Jeong Ukjae 16 Apr 02, 2022
Code and datasets for our paper "PTR: Prompt Tuning with Rules for Text Classification"

PTR Code and datasets for our paper "PTR: Prompt Tuning with Rules for Text Classification" If you use the code, please cite the following paper: @art

THUNLP 118 Dec 30, 2022
Creating a Feed of MISP Events from ThreatFox (by abuse.ch)

ThreatFox2Misp Creating a Feed of MISP Events from ThreatFox (by abuse.ch) What will it do? This will fetch IOCs from ThreatFox by Abuse.ch, convert t

17 Nov 22, 2022
Create a semantic search engine with a neural network (i.e. BERT) whose knowledge base can be updated

Create a semantic search engine with a neural network (i.e. BERT) whose knowledge base can be updated. This engine can later be used for downstream tasks in NLP such as Q&A, summarization, generation

Diego 1 Mar 20, 2022