Repository For Programmers Seeking a platform to show their skills

Overview

Programming-Nerds

Repository For Programmers Seeking Pull Requests In hacktoberfest


❓ What's Hacktoberfest 2021?

Hacktoberfest is the easiest way to get into open source! Hacktoberfest is a month long festival of open source code presented by Digital Ocean and DEV this year in 2021.

During the entire month of October 2021, all you have to do is contribute to any open source projects and open at least 4 pull requests. Yes, any project and any kind of contributions. It can be a be a bug fix, improvement, or even a documentation change! And win a T-Shirt and awesome stickers.

If you’ve never contributed to open source before, this is the perfect time to get started because Hacktoberfest provides a large list of available contribution opportunities (and yes, there are always plenty for beginners too).


πŸ‘• Why Should I Contribute?

Hacktoberfest has a simple and plain moto.

Support open source and earn a limited edition T-shirt!

So, yes! You can win a T-Shirt and few awesome stickers to attach on your laptop. On plus side, you will get into beautiful world of open source and get the international exposure.
Wait there's more!


How to start Contributing and pull request [Longer Way For Nerds] (Scrool Down For Shorter Version)

1. Fork this repository.

2. Clone your forked copy of the project.

git clone --depth 1 https://github.com/<your_name>/hacktoberfest-2021

3. Navigate to the project directory πŸ“ .

cd hacktoberfest-2021

4. Add a reference(remote) to the original repository.

git remote add upstream https://github.com/hctnm2/hacktoberfest-2021

5. Check the remotes for this repository.

git remote -v

6. Always take a pull from the upstream repository to your master branch to keep it at par with the main project(updated repository).

git pull upstream main

7. Create a new branch.

git checkout -b <your_branch_name>

8. Perform your desired changes to the code base.

9. Track your changes βœ”οΈ .

git add . 

10. Commit your changes .

git commit -m "Relevant message"

11. Push the committed changes in your feature branch to your remote repo.

git push -u origin <your_branch_name>

12. To create a pull request, click on compare and pull requests. Please ensure you compare your feature branch to the desired branch of the repository you are supposed to make a PR to.

13. Add appropriate title and description to your pull request explaining your changes and efforts done.

14. Click on Create Pull Request.

15 Voila!

πŸ‘ This is Awesome! How Can I Contribute?

It's very easy. You don't need to be an expert . Here are the steps you need to follow to create your -(maybe)- EXAMPLE first pull request within few minutes.

  1. Star this repository.
  2. Navigate To The Intended Progarmming Language Folder
  3. Edit the existing programs or add a new one.
  4. Now click on Propose button.
  5. Create a new pull request.
  6. Wait for your Pull Request to be reviewed and merged!
  7. Enjoy and welcome to Hacktoberfest 2021 and Keep Contributing :)

πŸ”₯ What will happen after my contribution?

I have created a simple page to display all contributors list here, your name should appear shortly after the pull request is merged.

🀝 Our Contributors

Recommended Repos

Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data

Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data arXiv This is the code base for weakly supervised NER. We provide a

Amazon 92 Jan 04, 2023
Kaggle Lyft Motion Prediction for Autonomous Vehicles 4th place solution

Lyft Motion Prediction for Autonomous Vehicles Code for the 4th place solution of Lyft Motion Prediction for Autonomous Vehicles on Kaggle. Discussion

44 Jun 27, 2022
P-Tuning v2: Prompt Tuning Can Be Comparable to Finetuning Universally Across Scales and Tasks

P-tuning v2 P-Tuning v2: Prompt Tuning Can Be Comparable to Finetuning Universally Across Scales and Tasks An optimized prompt tuning strategy achievi

THUDM 540 Dec 30, 2022
Which Style Makes Me Attractive? Interpretable Control Discovery and Counterfactual Explanation on StyleGAN

Interpretable Control Exploration and Counterfactual Explanation (ICE) on StyleGAN Which Style Makes Me Attractive? Interpretable Control Discovery an

Bo Li 11 Dec 01, 2022
Code for paper "Extract, Denoise and Enforce: Evaluating and Improving Concept Preservation for Text-to-Text Generation" EMNLP 2021

The repo provides the code for paper "Extract, Denoise and Enforce: Evaluating and Improving Concept Preservation for Text-to-Text Generation" EMNLP 2

Yuning Mao 18 May 24, 2022
Keeper for Ricochet Protocol, implemented with Apache Airflow

Ricochet Keeper This repository contains Apache Airflow DAGs for executing keeper operations for Ricochet Exchange. Usage You will need to run this us

Ricochet Exchange 5 May 24, 2022
Constructing interpretable quadratic accuracy predictors to serve as an objective function for an IQCQP problem that represents NAS under latency constraints and solve it with efficient algorithms.

IQNAS: Interpretable Integer Quadratic programming Neural Architecture Search Realistic use of neural networks often requires adhering to multiple con

0 Oct 24, 2021
pytorch implementation of fast-neural-style

fast-neural-style πŸŒ‡ πŸš€ NOTICE: This codebase is no longer maintained, please use the codebase from pytorch examples repository available at pytorch/e

Abhishek Kadian 405 Dec 15, 2022
[NeurIPS 2020] Official Implementation: "SMYRF: Efficient Attention using Asymmetric Clustering".

SMYRF: Efficient attention using asymmetric clustering Get started: Abstract We propose a novel type of balanced clustering algorithm to approximate a

Giannis Daras 46 Dec 22, 2022
ICLR 2021 i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning

Introduction PyTorch code for the ICLR 2021 paper [i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning]. @inproceedings{lee2021i

Kibok Lee 68 Nov 27, 2022
Cross-platform-profile-pic-changer - Script to change profile pictures across multiple platforms

cross-platform-profile-pic-changer script to change profile pictures across mult

4 Jan 17, 2022
Official code for the ICCV 2021 paper "DECA: Deep viewpoint-Equivariant human pose estimation using Capsule Autoencoders"

DECA Official code for the ICCV 2021 paper "DECA: Deep viewpoint-Equivariant human pose estimation using Capsule Autoencoders". All the code is writte

23 Dec 01, 2022
My usage of Real-ESRGAN to upscale anime, some test and results in the test_img folder

anime upscaler My usage of Real-ESRGAN to upscale anime, I hope to use this on a proper GPU cuz doing this on CPU is completely shit πŸ˜‚ , I even tried

Shangar Muhunthan 29 Jan 07, 2023
a reimplementation of Holistically-Nested Edge Detection in PyTorch

pytorch-hed This is a personal reimplementation of Holistically-Nested Edge Detection [1] using PyTorch. Should you be making use of this work, please

Simon Niklaus 375 Dec 06, 2022
[ICCV21] Self-Calibrating Neural Radiance Fields

Self-Calibrating Neural Radiance Fields, ICCV, 2021 Project Page | Paper | Video Author Information Yoonwoo Jeong [Google Scholar] Seokjun Ahn [Google

381 Dec 30, 2022
Sequence modeling benchmarks and temporal convolutional networks

Sequence Modeling Benchmarks and Temporal Convolutional Networks (TCN) This repository contains the experiments done in the work An Empirical Evaluati

CMU Locus Lab 3.5k Jan 01, 2023
All of the figures and notebooks for my deep learning book, for free!

"Deep Learning - A Visual Approach" by Andrew Glassner This is the official repo for my book from No Starch Press. Ordering the book My book is called

Andrew Glassner 227 Jan 04, 2023
Discriminative Condition-Aware PLDA

DCA-PLDA This repository implements the Discriminative Condition-Aware Backend described in the paper: L. Ferrer, M. McLaren, and N. BrΓΌmmer, "A Speak

Luciana Ferrer 31 Aug 05, 2022
TorchMD-Net provides state-of-the-art graph neural networks and equivariant transformer neural networks potentials for learning molecular potentials

TorchMD-net TorchMD-Net provides state-of-the-art graph neural networks and equivariant transformer neural networks potentials for learning molecular

TorchMD 104 Jan 03, 2023
DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

Microsoft 8.4k Jan 01, 2023