Iran Open Source Hackathon

Overview

logo

Iran Open Source Hackathon is an open-source hackathon (duh) with the aim of encouraging participation in open-source contribution amongst Iranian developers. There is a curated list of repositories whose maintainers volunteered to be part of the hackathon. Contribute to any of these repositories during the hackathon, and at the end top contributors will be acknowledged here (so yes in the end its just about bragging rights).

👉 If you are a maintainer and want to enter some of your repositories in the hackathon so our participants will contribute to them, check this section.


A Note on Terminology

In these documents, keywords MUST, MUST NOT, REQUIRED, SHALL, SHALL NOT, SHOULD, SHOULD NOT, RECOMMENDED, MAY, and OPTIONAL, when appearing in caps lock and in bold, are to be interpreted as described in RFC 2119. This is not a software spec document, but still the extra clarity helps avoiding confusion.


⚠️ ⚠️ WORK IN PROGRESS NOTICE

This is work in progress. As long as this notice is up here, any rule, date, information, etc is subject to sudden change without any prior notice.

If a piece of information is followed by ⚠️, then there is a good chance we will change it in near future and current information is mostly a placeholder.



How Can I Participate?

Contribute to one of these repositories during the time of the hackathon:

  • Make a pull request, include #iosh ⚠️ in its title ⚠️ .
  • The pull request MUST be accepted to the repository before the end of the hackathon.
  • Each pull request will count towards your total score (depends on how many lines of code it is ⚠️ ).
  • At the end, top 5 ⚠️ contributors (highest scores ⚠️ ) will be acknowledged here. We might update the list during the hackathon as well.

👉 If you are unfamiliar with open-source contribution, git or github, take a look at these resources.

NOTE: Please carefully read our code of conduct before you start contributing.


Why Should I Participate?

  • You will help improve software that people like you use (apes together strong).
  • You will learn a lot (like seriously, a TON).
  • You will earn street-cred (which also helps with employability).

I Am A Maintainer. Can I Add My Repos To This Hackathon?

Of course! You need to:

  1. Fork this repository.
  2. For each repository like https://github.com/jafar/my-repo, add a yaml file to first/repos
    (i.e. first/repos/jafar/my-repo.yaml):
# first/repos/jafar/my-repo.yaml

name: My Cool Repository
description: I am particularly cool here
languages:
  - JavaScript
  - Hashemi
  - ...
  1. Make a pull request.

👉 You can see examples in the repos directory.

👉 You can add a list of maintainers (with whom hackathon participants can be in contact) as well:

# first/repos/jafar/my-repo.yaml

name: My Cool Repository
description: I am particularly cool here
languages:
  - JavaScript
  - Hashemi
#
# 👉 for user `https://github.com/asghar`, add `asghar` to this list
# 👉 also don't forget the repo owner if they are going to be a maintainer as well
#
maintainers:
  - jafar
  - asghar
  - nooshin
  - maliheh

👉 If your repo belongs to a company or organization, you MUST specify maintainers independently.

NOTE: Please carefully read our code of conduct before you submit your repositories.


Repositories

Name Description Owner Maintainer(s) Languages
FL Chart A powerful Flutter chart library, currently supporting Line Chart, Bar Chart, Pie Chart, Scatter Chart and Radar Chart. imaNNeoFighT imaNNeoFighT dart
Letiner An intelligent Leitner to memorize information, especially words, without needing to maintain boxes manually. It can be synced with Dropbox. justmisam justmisam Javascript, HTML, CSS
Lightweight Message Queue (LMQ) A lightweight message queue to work with short messages or content references as messages. justmisam justmisam Go
PyLMQ Python Library for LMQ justmisam justmisam Python
BarnameKon Telegram bot which create "Add to Google Calendar" link for your events. anvaari anvaari python
TyFON Typed Functions Over Network loreanvictor loreanvictor typescript, javascript
Callbag JSX callbags + JSX: fast and tiny interactive web apps loreanvictor loreanvictor typescript
Peanar A background job scheduler for Node.js based on RabbitMQ martianboy martianboy typescript
divar-starter-kit React.js SSR-ready boilerplate using Razzle. divar-ir iMohammadReza javascript
gRPC Go Contracts Verify the communication of your microservices by writing contracts for your RPCs shayanh shayanh go
thatcher-effect-dataset-generator Using OpenCV to apply Thatcher effect on a set of face images erfaniaa erfaniaa Python
text-to-commit-history Write a large text on your Github profile, with your commits history (contribution graph). erfaniaa erfaniaa Python
Keepalived Exporter Prometheus exporter for Keepalived metrics. cafebazaar mehdy go
Anbar A basic S3 compatible storage server in Rust. mehdy mehdy rust
Pyeez A simple framework to create console applications (like htop). mehdy mehdy python
paperify Backup files on paper using QRCodes. alisinabh alisinabh shell
Zarb project Zarb blockchain zarbchain b00f Go, Rust, Javascript
Laravel Toman Elegant Zarinpal and IDPay payment gateways for Laravel evryn AmirrezaNasiri PHP

To be completed


Duration

Beginning تیر ۱۵ 06 July
Ending شهریور ۱۵ 06 September

۱۴۰۰ / 2021


👉 For Participants

Your pull requests MUST be submitted after beginning of the hackathon period and be merged before the end of the hackathon.


👉 For Maintainers

Ideally, submit your repositories before the start of the hackathon, though you can ( ⚠️ ) submit it during the duration of the hackathon as well.


Top Contributors

To be determined


Owner
OSS Hackathon
OSS Hackathon
Why Are You Weird? Infusing Interpretability in Isolation Forest for Anomaly Detection

Why, hello there! This is the supporting notebook for the research paper — Why Are You Weird? Infusing Interpretability in Isolation Forest for Anomal

2 Dec 14, 2021
This repo is official PyTorch implementation of MobileHumanPose: Toward real-time 3D human pose estimation in mobile devices(CVPRW 2021).

Github Code of "MobileHumanPose: Toward real-time 3D human pose estimation in mobile devices" Introduction This repo is official PyTorch implementatio

Choi Sang Bum 203 Jan 05, 2023
Python implementation of MULTIseq barcode alignment using fuzzy string matching and GMM barcode assignment

Python implementation of MULTIseq barcode alignment using fuzzy string matching and GMM barcode assignment.

MT Schmitz 2 Feb 11, 2022
Data, model training, and evaluation code for "PubTables-1M: Towards a universal dataset and metrics for training and evaluating table extraction models".

PubTables-1M This repository contains training and evaluation code for the paper "PubTables-1M: Towards a universal dataset and metrics for training a

Microsoft 365 Jan 04, 2023
An Implicit Function Theorem (IFT) optimizer for bi-level optimizations

iftopt An Implicit Function Theorem (IFT) optimizer for bi-level optimizations. Requirements Python 3.7+ PyTorch 1.x Installation $ pip install git+ht

The Money Shredder Lab 2 Dec 02, 2021
Reimplementation of the paper "Attention, Learn to Solve Routing Problems!" in jax/flax.

JAX + Attention Learn To Solve Routing Problems Reinplementation of the paper Attention, Learn to Solve Routing Problems! using Jax and Flax. Fully su

Gabriela Surita 7 Dec 01, 2022
Unofficial pytorch implementation for Self-critical Sequence Training for Image Captioning. and others.

An Image Captioning codebase This is a codebase for image captioning research. It supports: Self critical training from Self-critical Sequence Trainin

Ruotian(RT) Luo 906 Jan 03, 2023
Implementation for paper: Self-Regulation for Semantic Segmentation

Self-Regulation for Semantic Segmentation This is the PyTorch implementation for paper Self-Regulation for Semantic Segmentation, ICCV 2021. Citing SR

Dong ZHANG 30 Nov 21, 2022
A Self-Supervised Contrastive Learning Framework for Aspect Detection

AspDecSSCL A Self-Supervised Contrastive Learning Framework for Aspect Detection This repository is a pytorch implementation for the following AAAI'21

Tian Shi 30 Dec 28, 2022
Ready-to-use code and tutorial notebooks to boost your way into few-shot image classification.

Easy Few-Shot Learning Ready-to-use code and tutorial notebooks to boost your way into few-shot image classification. This repository is made for you

Sicara 399 Jan 08, 2023
[CIKM 2019] Code and dataset for "Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction"

FiGNN for CTR prediction The code and data for our paper in CIKM2019: Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Predicti

Big Data and Multi-modal Computing Group, CRIPAC 75 Dec 30, 2022
[ICCV 2021 Oral] Mining Latent Classes for Few-shot Segmentation

Mining Latent Classes for Few-shot Segmentation Lihe Yang, Wei Zhuo, Lei Qi, Yinghuan Shi, Yang Gao. This codebase contains baseline of our paper Mini

Lihe Yang 66 Nov 29, 2022
A denoising diffusion probabilistic model synthesises galaxies that are qualitatively and physically indistinguishable from the real thing.

Realistic galaxy simulation via score-based generative models Official code for 'Realistic galaxy simulation via score-based generative models'. We us

Michael Smith 32 Dec 20, 2022
RIFE - Real-Time Intermediate Flow Estimation for Video Frame Interpolation

RIFE - Real-Time Intermediate Flow Estimation for Video Frame Interpolation YouTube | BiliBili 16X interpolation results from two input images: Introd

旷视天元 MegEngine 28 Dec 09, 2022
A Pytorch implementation of MoveNet from Google. Include training code and pre-train model.

Movenet.Pytorch Intro MoveNet is an ultra fast and accurate model that detects 17 keypoints of a body. This is A Pytorch implementation of MoveNet fro

Mr.Fire 241 Dec 26, 2022
Codes for TIM2021 paper "Anchor-Based Spatio-Temporal Attention 3-D Convolutional Networks for Dynamic 3-D Point Cloud Sequences"

Codes for TIM2021 paper "Anchor-Based Spatio-Temporal Attention 3-D Convolutional Networks for Dynamic 3-D Point Cloud Sequences"

Intelligent Robotics and Machine Vision Lab 4 Jul 19, 2022
Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

TensorLayer is a novel TensorFlow-based deep learning and reinforcement learning library designed for researchers and engineers. It provides an extens

TensorLayer Community 7.1k Dec 27, 2022
Node Editor Plug for Blender

NodeEditor Blender的程序化建模插件 Show Current 基本框架:自定义的tree-node-socket、tree中的node与socket采用字典查询、基于socket入度的拓扑排序 数据传递和处理依靠Tree中的字典,socket传递字典key TODO 增加更多的节点

Cuimi 11 Dec 03, 2022
Code for ICML 2021 paper: How could Neural Networks understand Programs?

OSCAR This repository contains the source code of our ICML 2021 paper How could Neural Networks understand Programs?. Environment Run following comman

Dinglan Peng 115 Dec 17, 2022
A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.

Xcessiv Xcessiv is a tool to help you create the biggest, craziest, and most excessive stacked ensembles you can think of. Stacked ensembles are simpl

Reiichiro Nakano 1.3k Nov 17, 2022