DiY Oxygen Concentrator based on the OxiKit

Related tags

Text Data & NLPM19O2
Overview

M19O2

DiY Oxygen Concentrator based on / inspired by the OxiKit, OpenOx, Marut, RepRap and Project Apollo platforms.

M19O2 render front

M19O2 render rear

M19O2 render rear

About

Read about the project on Hackaday.

Contribute

You can contribute on the Ketto fundraiser page

Coordination lists

Engineering

How to use this repo

Open a terminal on your computer. Run

git clone https://github.com/MakersAsylumIndia/M19O2 && cd M19O2
git submodule update --init --recursive

The repository shall be available on your computer. To periodically update the contents,

cd M19O2
git pull
git submodule update --init --recursive

How to contribute to this repository

Fork this repository. You can find the command for this on the top-right of the webpage. This shall create a personal, updateable copy of this repository on your github account.

On your computer terminal, run

git clone https://github.com/<your-username>/M19O2 && cd M19O2
git submodule update --init --recursive

Add your contributions to this repository and save on github.

cd M19O2
git add .
git commit -m "<your-commit-message>"
git push origin

To contribute your work to the M19 Collective, open your repository in a browser and issue a pull request from your repository to the one at Makers' Asylum.

License

Licenses

Open Source Licenses Facts

Hardware

CERN Open Hardware License Version 2 - Strongly Reciprocal (CERN-OHL-S-2.0).

Software

MIT open source license.

Documentation:

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Owner
Maker's Asylum
Makerspace in Mumbai, India
Maker's Asylum
Tools to download and cleanup Common Crawl data

cc_net Tools to download and clean Common Crawl as introduced in our paper CCNet. If you found these resources useful, please consider citing: @inproc

Meta Research 483 Jan 02, 2023
Official code of our work, Unified Pre-training for Program Understanding and Generation [NAACL 2021].

PLBART Code pre-release of our work, Unified Pre-training for Program Understanding and Generation accepted at NAACL 2021. Note. A detailed documentat

Wasi Ahmad 138 Dec 30, 2022
Syntax-aware Multi-spans Generation for Reading Comprehension (TASLP 2022)

SyntaxGen Syntax-aware Multi-spans Generation for Reading Comprehension (TASLP 2022) In this repo, we upload all the scripts for this work. Due to siz

Zhuosheng Zhang 3 Jun 13, 2022
🚀Clone a voice in 5 seconds to generate arbitrary speech in real-time

English | 中文 Features 🌍 Chinese supported mandarin and tested with multiple datasets: aidatatang_200zh, magicdata, aishell3, data_aishell, and etc. ?

Vega 25.6k Dec 31, 2022
Knowledge Oriented Programming Language

KoPL: 面向知识的推理问答编程语言 安装 | 快速开始 | 文档 KoPL全称 Knowledge oriented Programing Language, 是一个为复杂推理问答而设计的编程语言。我们可以将自然语言问题表示为由基本函数组合而成的KoPL程序,程序运行的结果就是问题的答案。目前,

THU-KEG 62 Dec 12, 2022
Generating Korean Slogans with phonetic and structural repetition

LexPOS_ko Generating Korean Slogans with phonetic and structural repetition Generating Slogans with Linguistic Features LexPOS is a sequence-to-sequen

Yeoun Yi 3 May 23, 2022
Guide: Finetune GPT2-XL (1.5 Billion Parameters) and GPT-NEO (2.7 B) on a single 16 GB VRAM V100 Google Cloud instance with Huggingface Transformers using DeepSpeed

Guide: Finetune GPT2-XL (1.5 Billion Parameters) and GPT-NEO (2.7 Billion Parameters) on a single 16 GB VRAM V100 Google Cloud instance with Huggingfa

289 Jan 06, 2023
Simple, Fast, Powerful and Easily extensible python package for extracting patterns from text, with over than 60 predefined Regular Expressions.

patterns-finder Simple, Fast, Powerful and Easily extensible python package for extracting patterns from text, with over than 60 predefined Regular Ex

22 Dec 19, 2022
【原神】自动演奏风物之诗琴的程序

疯物之诗琴 读取midi并自动演奏原神风物之诗琴。 可以自定义配置文件自动调整音符来适配风物之诗琴。 (原神1.4直播那天就开始做了!到现在才能放出来。。) 如何使用 在Release页面中下载打包好的程序和midi压缩包并解压。 双击运行“疯物之诗琴.exe”。 在原神中打开风物之诗琴,软件内输入

435 Jan 04, 2023
MEDIALpy: MEDIcal Abbreviations Lookup in Python

A small python package that allows the user to look up common medical abbreviations.

Aberystwyth Systems Biology 7 Nov 09, 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
Neural Lexicon Reader: Reduce Pronunciation Errors in End-to-end TTS by Leveraging External Textual Knowledge

Neural Lexicon Reader: Reduce Pronunciation Errors in End-to-end TTS by Leveraging External Textual Knowledge This is an implementation of the paper,

Mutian He 19 Oct 14, 2022
Longformer: The Long-Document Transformer

Longformer Longformer and LongformerEncoderDecoder (LED) are pretrained transformer models for long documents. ***** New December 1st, 2020: Longforme

AI2 1.6k Dec 29, 2022
Neural network sequence labeling model

Sequence labeler This is a neural network sequence labeling system. Given a sequence of tokens, it will learn to assign labels to each token. Can be u

Marek Rei 250 Nov 03, 2022
Japanese Long-Unit-Word Tokenizer with RemBertTokenizerFast of Transformers

Japanese-LUW-Tokenizer Japanese Long-Unit-Word (国語研長単位) Tokenizer for Transformers based on 青空文庫 Basic Usage from transformers import RemBertToken

Koichi Yasuoka 3 Dec 22, 2021
Programme de chiffrement et de déchiffrement inverse d'un message en python3.

Chiffrement Inverse En Python3 Programme de chiffrement et de déchiffrement inverse d'un message en python3. Explication du chiffrement inverse avec c

Malik Makkes 2 Mar 26, 2022
LeBenchmark: a reproducible framework for assessing SSL from speech

LeBenchmark: a reproducible framework for assessing SSL from speech

11 Nov 30, 2022
Machine learning models from Singapore's NLP research community

SG-NLP Machine learning models from Singapore's natural language processing (NLP) research community. sgnlp is a Python package that allows you to eas

AI Singapore | AI Makerspace 21 Dec 17, 2022
Study German declensions (dER nettE Mann, ein nettER Mann, mit dEM nettEN Mann, ohne dEN nettEN Mann ...) Generate as many exercises as you want using the incredible power of SPACY!

Study German declensions (dER nettE Mann, ein nettER Mann, mit dEM nettEN Mann, ohne dEN nettEN Mann ...) Generate as many exercises as you want using the incredible power of SPACY!

Hans Alemão 4 Jul 20, 2022
FedNLP: A Benchmarking Framework for Federated Learning in Natural Language Processing

FedNLP is a research-oriented benchmarking framework for advancing federated learning (FL) in natural language processing (NLP). It uses FedML repository as the git submodule. In other words, FedNLP

FedML-AI 216 Nov 27, 2022