you can add any codes in any language by creating its respective folder (if already not available).

Overview

HACKTOBERFEST-2021-WEB-DEV


Beginner-Hacktoberfest

Need Your first pr for hacktoberfest 2k21 ? come on in

About

This is repository of Responsive Portfolio for Hacktoberfest 2021. Participate in Hacktoberfest by contributing to any Open Source project on GitHub! Here is a starter project for first-time contributors.
Visit website


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).



👕 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!



👍 This is Awesome! How Can I Contribute?

Don't know how to start of open source and Contribute to our Open Source Project ? Welcome to the world of hacking!

The steps to follow to contribute to any projects:

  1. If you don't have git on your machine, install it.

  2. Fork this repository

    Fork this repository by clicking on the fork button on the top of this page. This will create a copy of this repository in your account.

  3. Clone the repository

    Now clone the forked repository to your machine. Go to your GitHub account, open the forked repository, click on the code button and then click the copy to clipboard icon.

    Open a terminal and run the following git command:

    git clone "url you just copied"
    
  4. Add a upstream link to main branch in your cloned repo

    git remote add upstream <original repository>
    
  5. Keep your cloned repo upto date by pulling from upstream

    This will also avoid any merge conflicts while committing new changes

    git pull upstream main
    
  6. Create your feature branch

    Always create new branch

    git checkout -b <feature-name>
    
  7. Track your changes

    git add .
    
  8. Check for your changes.

    git status
    
  9. Commit all the changes

    Write commit message as "Small Message"

    git commit -m "Write a meaningfull but small commit message"
    
  10. Push the changes for review

    git push origin <branch-name>
    
  11. Create a PR on Github.

    Just hit the create a pull request button, you must write a PR message to clarify why and what are you contributing
    

🔥 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.


What I have to do?

You can add any codes in any language by creating its respective folder (if already not available).


Owner
Suman Sharma
We need to have a talk on the subject of what's yours and what's mine. [sumansharma101]
Suman Sharma
Library for time-series-forecasting-as-a-service.

TIMEX TIMEX (referred in code as timexseries) is a framework for time-series-forecasting-as-a-service. Its main goal is to provide a simple and generi

Alessandro Falcetta 8 Jan 06, 2023
Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes (CVPR 2021 Oral)

Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Surfaces Official code release for NGLOD. For technical details, please refer t

659 Dec 27, 2022
This is a code repository for paper OODformer: Out-Of-Distribution Detection Transformer

OODformer: Out-Of-Distribution Detection Transformer This repo is the official the implementation of the OODformer: Out-Of-Distribution Detection Tran

34 Dec 02, 2022
Code for ICE-BeeM paper - NeurIPS 2020

ICE-BeeM: Identifiable Conditional Energy-Based Deep Models Based on Nonlinear ICA This repository contains code to run and reproduce the experiments

Ilyes Khemakhem 65 Dec 22, 2022
Very large and sparse networks appear often in the wild and present unique algorithmic opportunities and challenges for the practitioner

Sparse network learning with snlpy Very large and sparse networks appear often in the wild and present unique algorithmic opportunities and challenges

Andrew Stolman 1 Apr 30, 2021
Libraries, tools and tasks created and used at DeepMind Robotics.

Libraries, tools and tasks created and used at DeepMind Robotics.

DeepMind 270 Nov 30, 2022
SAT: 2D Semantics Assisted Training for 3D Visual Grounding, ICCV 2021 (Oral)

SAT: 2D Semantics Assisted Training for 3D Visual Grounding SAT: 2D Semantics Assisted Training for 3D Visual Grounding by Zhengyuan Yang, Songyang Zh

Zhengyuan Yang 22 Nov 30, 2022
Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation (CVPR 2021)

Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation Input Image Initial CAM Successive Maps with adversar

Jungbeom Lee 110 Dec 07, 2022
Image inpainting using Gaussian Mixture Models

dmfa_inpainting Source code for: MisConv: Convolutional Neural Networks for Missing Data (to be published at WACV 2022) Estimating conditional density

Marcin Przewięźlikowski 8 Oct 09, 2022
LIVECell - A large-scale dataset for label-free live cell segmentation

LIVECell dataset This document contains instructions of how to access the data associated with the submitted manuscript "LIVECell - A large-scale data

Sartorius Corporate Research 112 Jan 07, 2023
GeneralOCR is open source Optical Character Recognition based on PyTorch.

Introduction GeneralOCR is open source Optical Character Recognition based on PyTorch. It makes a fidelity and useful tool to implement SOTA models on

57 Dec 29, 2022
Its a Plant Leaf Disease Detection System based on Machine Learning.

My_Project_Code Its a Plant Leaf Disease Detection System based on Machine Learning. I have used Tomato Leaves Dataset from kaggle. This system detect

Sanskriti Sidola 3 Jun 15, 2022
A user-friendly research and development tool built to standardize RL competency assessment for custom agents and environments.

Built with ❤️ by Sam Showalter Contents Overview Installation Dependencies Usage Scripts Standard Execution Environment Development Environment Benchm

SRI-AIC 1 Nov 18, 2021
A non-linear, non-parametric Machine Learning method capable of modeling complex datasets

Fast Symbolic Regression Symbolic Regression is a non-linear, non-parametric Machine Learning method capable of modeling complex data sets. fastsr aim

VAMSHI CHOWDARY 3 Jun 22, 2022
For visualizing the dair-v2x-i dataset

3D Detection & Tracking Viewer The project is based on hailanyi/3D-Detection-Tracking-Viewer and is modified, you can find the original version of the

34 Dec 29, 2022
An API-first distributed deployment system of deep learning models using timeseries data to analyze and predict systems behaviour

Gordo Building thousands of models with timeseries data to monitor systems. Table of content About Examples Install Uninstall Developer manual How to

Equinor 26 Dec 27, 2022
“英特尔创新大师杯”深度学习挑战赛 赛道3:CCKS2021中文NLP地址相关性任务

基于 bert4keras 的一个baseline 不作任何 数据trick 单模 线上 最高可到 0.7891 # 基础 版 train.py 0.7769 # transformer 各层 cls concat 明神的trick https://xv44586.git

孙永松 7 Dec 28, 2021
ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis

ImageBART NeurIPS 2021 Patrick Esser*, Robin Rombach*, Andreas Blattmann*, Björn Ommer * equal contribution arXiv | BibTeX | Poster Requirements A sui

CompVis Heidelberg 110 Jan 01, 2023
Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language (NeurIPS 2021)

VRDP (NeurIPS 2021) Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language Mingyu Ding, Zhenfang Chen, Tao Du, Pin

Mingyu Ding 36 Sep 20, 2022
Transformers provides thousands of pretrained models to perform tasks on different modalities such as text, vision, and audio.

English | 简体中文 | 繁體中文 | 한국어 State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow 🤗 Transformers provides thousands of pretrained models

Clara Meister 50 Nov 12, 2022