EasyPreProcessing
doccano
| EasyPreProcessing | doccano | |
|---|---|---|
| 1 | 13 | |
| 4 | 9,031 | |
| - | 1.5% | |
| 0.0 | 7.4 | |
| over 2 years ago | 2 months ago | |
| Python | Python | |
| MIT License | MIT License |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
EasyPreProcessing
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ML Preprocessing activities in a single line of code [EasyPreProcessing Library]
Github: https://github.com/shreyas-jk/EasyPreProcessing
doccano
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You Can't Have a Free Software AI Stack
Huh?
I wrote my own system for classifying a stream of texts in Python, I might Open Source it one of these days but I have to get it to the point where it is modular enough that I can customize it to do the particular things I want without subjecting people to my whims... I use it every day and I'm not afraid to demo it because it is rock solid.
My understanding is that my system would not be hard to adapt to work on images for certain kinds of tasks.
Pytorch is open source, Huggingface is open source. CUDA isn't. This is
https://labelstud.io/
and for annotating text spans there are so many open source tools
https://github.com/doccano/doccano
I worked for a company a few years back that built annotation tools for projects we sold to customers but never quite got to a polished general purpose annotator. Today there are an overwhelming number of companies in this space and products I never heard of, many of which are cloud based or paid. Looks like a gold rush to me.
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How do I connect application running in a notebook server to my local machine.
I followed the guide to have doccano https://github.com/doccano/doccano setup in a notebook server in Kubeflow. It is running and the django connection is established, but it fails to connect with my localmachine so when I try to open the link, it does not respond. Is there a way to connect apps running on remove notebook servers to local in Kubeflow?
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Assigning a Port Mapping to a Running Docker Container for MacOS
Why not just use the docker instructions on the GitHub page? https://github.com/doccano/doccano
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Text Corpus Tagging System
doccano is built on a Django backend though I believe it uses extensive front end code for the annotation UI.
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Ask HN: Any open source text editors with word tagging?
I worked at a place where we developed a system for doing this kind of tagging but it was for making training sets and there was no expectation that you could export the document from the system for normal use.
Quite a few NLP annotation systems are out there
https://prodi.gy/
https://brat.nlplab.org/
https://doccano.herokuapp.com/
- Text sentiment label agreement
- [D] Do you have any suggestions for a crowd-sourced annotation tool?
- Tips for machine learning in the medical field
- Skill extraction from resumes
- Doccano – open-source annotation tool for machine learning practitioners
What are some alternatives?
rlcs_data - Machine Learning around replays uploaded on ballchasing.com.
label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format
crypto-trading-strategy-backtester - Easy-to-use cryptocurrency trading strategy simulator and backtester
Django REST Swagger - Swagger Documentation Generator for Django REST Framework: deprecated
scikit-learn - scikit-learn: machine learning in Python
bravado - Bravado is a python client library for Swagger 2.0 services
Airplane-Delays-and-Diversions-Dataset-1990-2020 - A dataset listing the total amount of delays or diversions per day according to the USA Bureau of Transportation Statistics between January 1st 1990 and December 31st 2020
django-admin-interface - :superhero: :zap: django's default admin interface with superpowers - customizable themes, popup windows replaced by modals and many other features.
cleanlab - The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Python Blogs - A curated list of python programming language blogs
Tweepy - Twitter for Python!
django-treenode - :deciduous_tree: probably the best abstract model/admin for your tree based stuff.