Generate a cool README/About me page for your Github Profile

Overview

Github Profile README/ About Me Generator 💯

forthebadge made-with-python Streamlit-Badge

This webapp lets you build a cool README for your profile.

Screencast of Github AboutMe/Profile ReadMe Generator

A few inputs + ~15 mins = Your Github Profile reaches a new level 🔥

Live 🌞

https://share.streamlit.io/rahulbanerjee26/githubaboutmegenerator/main/__init__.py

Article 📝

https://www.realpythonproject.com/a-free-tool-to-take-your-github-profile-to-the-next-level/

The article contains resources for gifs, royalty free images/icons and tutorials on how to create your secret repo for the About Me Page, setting up the blog flow action etc.

Usage 🔧

  • Fill in the text boxes. Leave the ones you do not wish to fill blank.
  • By default the generated ReadMe has GitHub stats and Wakatime stats, feel free to remove them.
  • If you want to build on top of the Readme, refer to the article I mentioned above for resources and tips
  • If you used this app to build your README, consider adding yourself to the "Users who used this app to generate a README" section. You can showcase your README and others will be able to view it and star it. You are guranteed a star from me

Built With 🧰

Features 💿

  • Gifs
  • Social Icons
  • Skill Icons
  • Visitors Badge
  • Github Stats
  • WakaTime Stats
  • .yml file to display Blog Posts from your feed
  • Ability to add image banners at beginning of README
  • Editor to edit Markdown with live update
  • Random Jokes Card

Running Locally 🖥️

  • Clone the Repo
  • Create Virtual Environment python -m venv venv
  • Activate the virtual Environment venv/Scripts/activate
  • Install required dependencies pip install -r requirements.txt
  • Run the App streamlit run __init__.py

Contributors

Feature Suggestion 💎

  • Create an Issue explaining the Feature

Contributing 🤝

  • Fork the Project
  • Create your Feature Branch git checkout -b feature/AmazingFeature
  • Commit your Changes git commit -m 'Add some AmazingFeature'
  • Push to the Branch git push origin feature/AmazingFeature
  • Open a Pull Request
  • After your PR is merged, I will add you as a contributor :)
  • If you wish to add yourself to 'Users who used this app' list, simply fork the repo, update the README and make a PR.
  • Follow the below format
- <a href = 'Your Github URL'> Your Name </a>
  • Or just reach out to me on Twitter/LinkedIn and I'll add you :)

Issues 🔓

If you find any errors/issues, feel free to create an Issue

Plans for future release 📆

  • Adding more badges
  • Giving user ability to chose between different ReadMe designs
  • Increasing Number of social Icons

Users who used this app to generate a README 🌠

License ⚖️

  • Distributed under the MIT License. See LICENSE for more information.
FastFormers - highly efficient transformer models for NLU

FastFormers FastFormers provides a set of recipes and methods to achieve highly efficient inference of Transformer models for Natural Language Underst

Microsoft 678 Jan 05, 2023
TPlinker for NER 中文/英文命名实体识别

本项目是参考 TPLinker 中HandshakingTagging思想,将TPLinker由原来的关系抽取(RE)模型修改为命名实体识别(NER)模型。

GodK 113 Dec 28, 2022
Grover is a model for Neural Fake News -- both generation and detectio

Grover is a model for Neural Fake News -- both generation and detection. However, it probably can also be used for other generation tasks.

Rowan Zellers 856 Dec 24, 2022
Natural language Understanding Toolkit

Natural language Understanding Toolkit TOC Requirements Installation Documentation CLSCL NER References Requirements To install nut you need: Python 2

Peter Prettenhofer 119 Oct 08, 2022
APEACH: Attacking Pejorative Expressions with Analysis on Crowd-generated Hate Speech Evaluation Datasets

APEACH - Korean Hate Speech Evaluation Datasets APEACH is the first crowd-generated Korean evaluation dataset for hate speech detection. Sentences of

Kevin-Yang 70 Dec 06, 2022
Code associated with the "Data Augmentation using Pre-trained Transformer Models" paper

Data Augmentation using Pre-trained Transformer Models Code associated with the Data Augmentation using Pre-trained Transformer Models paper Code cont

44 Dec 31, 2022
⚖️ A Statutory Article Retrieval Dataset in French.

A Statutory Article Retrieval Dataset in French This repository contains the Belgian Statutory Article Retrieval Dataset (BSARD), as well as the code

Maastricht Law & Tech Lab 19 Nov 17, 2022
Outreachy TFX custom component project

Schema Curation Custom Component Outreachy TFX custom component project This repo contains the code for Schema Curation Custom Component made as a par

Robert Crowe 5 Jul 16, 2021
Twitter bot that uses NLP models to summarize news articles referenced in a user's twitter timeline

Twitter-News-Summarizer Twitter bot that uses NLP models to summarize news articles referenced in a user's twitter timeline 1.) Extracts all tweets fr

Rohit Govindan 1 Jan 27, 2022
A python project made to generate code using either OpenAI's codex or GPT-J (Although not as good as codex)

CodeJ A python project made to generate code using either OpenAI's codex or GPT-J (Although not as good as codex) Install requirements pip install -r

TheProtagonist 1 Dec 06, 2021
Code for the project carried out fulfilling the course requirements for Fall 2021 NLP at NYU

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

Sai Himal Allu 1 Apr 25, 2022
A PyTorch implementation of the Transformer model in "Attention is All You Need".

Attention is all you need: A Pytorch Implementation This is a PyTorch implementation of the Transformer model in "Attention is All You Need" (Ashish V

Yu-Hsiang Huang 7.1k Jan 05, 2023
Multilingual finetuning of Machine Translation model on low-resource languages. Project for Deep Natural Language Processing course.

Low-resource-Machine-Translation This repository contains the code for the project relative to the course Deep Natural Language Processing. The goal o

Andrea Cavallo 3 Jun 22, 2022
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
Idea is to build a model which will take keywords as inputs and generate sentences as outputs.

keytotext Idea is to build a model which will take keywords as inputs and generate sentences as outputs. Potential use case can include: Marketing Sea

Gagan Bhatia 364 Jan 03, 2023
NLP library designed for reproducible experimentation management

Welcome to the Transfer NLP library, a framework built on top of PyTorch to promote reproducible experimentation and Transfer Learning in NLP You can

Feedly 290 Dec 20, 2022
Reproducing the Linear Multihead Attention introduced in Linformer paper (Linformer: Self-Attention with Linear Complexity)

Linear Multihead Attention (Linformer) PyTorch Implementation of reproducing the Linear Multihead Attention introduced in Linformer paper (Linformer:

Kui Xu 58 Dec 23, 2022
Rootski - Full codebase for rootski.io (without the data)

📣 Welcome to the Rootski codebase! This is the codebase for the application run

Eric 20 Nov 18, 2022
Help you discover excellent English projects and get rid of disturbing by other spoken language

GitHub English Top Charts 「Help you discover excellent English projects and get

GrowingGit 544 Jan 09, 2023
Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.

NeuroNER NeuroNER is a program that performs named-entity recognition (NER). Website: neuroner.com. This page gives step-by-step instructions to insta

Franck Dernoncourt 1.6k Dec 27, 2022