covidthailand
igel
Our great sponsors
covidthailand | igel | |
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7 | 11 | |
125 | 3,080 | |
- | - | |
7.7 | 1.1 | |
5 days ago | about 1 year ago | |
Python | Python | |
- | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
covidthailand
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A nice summary on the changes in Thailand.
That being said, Test&Go had zero impact on spread in Thailand (which is obvious by looking at number of new cases since Test&Go was first implemented, as well as the fact that cases in non-Thai people is insignificant - except for Burmese and Cambodian who most likely entered the country illegally to do factory and construction work while living in a small room with a lot of other migrant workers). source
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And here we go again.
If you look at the number of cases throughout everything then you can see Test&Go had zero effect on number of cases: https://github.com/djay/covidthailand. If you look at cases in Non-Thais then you can also see that the number is almost non-existent except from the Burmese/Cambodian that would no doubt continue to enter the country illegally even if they shut down everything.
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Friday 30th - 17,345 confirmed cases and 117 deaths
if you look at deaths alone it could have been 30k 11 days ago from my calculations - https://github.com/djay/covidthailand/wiki/cases_infections_estimate_2.png and that doesn't take into account excess deaths or other factors that could adjust that figure.
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Drop in cases: 14,150 cases & 118 deaths.
New testing data in. We are now close to 20% positive rate https://github.com/djay/covidthailand/wiki/positivity_2.png
- Saturday update: 14,260 cases & 119 deaths
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Thailand hits 10,000 daily cases for the first time
Try HERE for more info.
- Asia Today: Thailand's new cases exceed 2,000, set record
igel
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Train/fit, test, and use models without writing code
Link to the repo: https://github.com/nidhaloff/igel
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Question about trending repositories on GitHub based on the spoken language?
So I have a project that made it to the GitHub trending list. The project is in English and the spoken language is set to English on my Profile/settings. However, I can only see the project in the trending list if I set the spoken language in the trending tab to "any". If I set it to English then my project is not listed anymore in the trending list. How can this be?
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I created a machine-learning tool for easy and fast prototyping
Igel is a machine learning tool that makes it very easy to prototype and create/experiment with ML models on the fly. Igel helps you automate many tasks from cleaning your dataset to evaluating the trained model and finally serve it by creating a REST server that is production-ready.
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Show HN: Machine learning automation from creating to using models in production
Thanks for the feedback! When I first started the project, it was not thought for production. Just for fast prototyping and experimenting with no efforts at all. However, users liked the tool and started requesting more features including support for serving models and eventually deploying (e.g this issue https://github.com/nidhaloff/igel/issues/62)
I agree with your point of vue. However, igel is fairly new and evolving fast. Using igel to serve trained model is a new feature that was implemented in the new release so igel has a long way to go in order to be a solid product for production use.It will surely get more mature with time.
Finally, notice that I didn't recommend running it in production. Just mentioned that it is possible and takes no efforts at all. However, if the user generated a trained model then anything can be done with it from there. Technically, the user can implement his/her own server and use the model as wanted. Obviously, users should do that if they want more control ;)
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[P] An experimental machine learning package for easy and fast prototyping
igel is a fairly new machine learning package that allows you to create ML prototypes on the fly. You can use igel from the terminal without writing any code or from python if you want to. I tried to keep the API simple enough and flexible as possible.
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New igel release: support for serving trained machine learning models using fastapi and uvicorn
Hi everyone, I wanted to share with you the new release/features of the igel machine learning package
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Ask HN: How to find sponsors for my open source projects?
I think that most companies that sponsor projects are companies that are using the projects. IIUC https://github.com/nidhaloff/igel is your most popular project. Who is using it?
Don't expect the companies to pay. You can not force them to pay. It's a project with a MIT license. (Perhaps this is obvious for you, but a few days ago someone posted a rant by another developer because some companies were using his MIT-license project and only making a $500 annual money contribution.)
I think one possibility is to write blog post about examples of using the project to solve interesting problems. It's important that they are interesting to get traction here and in other platforms. At the bottom, add a remake explaining that you are the main developer of the project and you'd like sponsors. (I can't guaranty that this will work.)
Also, this helps as an extended documentation of the project and to get more traffic from google and to get more users. All of that can help to increase the user base and hopefully find an sponsor. (I can't guaranty that this will work.)
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Sponsoring open source projects, share about your project
- igel: https://github.com/nidhaloff/igel a delightful tool that allows using ML without writing code. I'm also working on an even simpler cross-platform frontend for it written in electronjs (check it here https://github.com/nidhaloff/igel-ui)
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Ask HN: What are some tools / libraries you built yourself?
Last year I built deep-translator https://github.com/nidhaloff/deep-translator
I wanted a tool where multiple translators are integrated and where I can get translations from different sources but only using one tool. I then tried to build a cross platform mobile app using python (which is not the best language for this, I know) https://github.com/nidhaloff/Translator-pp
Probably the best project I built/started last year is the machine learning package igel: https://github.com/nidhaloff/igel
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Weekly Developer Roundup #16 - Sun Oct 04 2020
Show HN: Igel – A CLI tool to run machine learning without writing code: https://github.com/nidhaloff/igel
What are some alternatives?
Home Assistant - :house_with_garden: Open source home automation that puts local control and privacy first.
AI-Expert-Roadmap - Roadmap to becoming an Artificial Intelligence Expert in 2022
VulnerableApp - OWASP VulnerableApp Project: For Security Enthusiasts by Security Enthusiasts.
profanity - Ncurses based XMPP client
nnAudio - Audio processing by using pytorch 1D convolution network
deep-translator - A flexible free and unlimited python tool to translate between different languages in a simple way using multiple translators.
mljar-examples - Examples how MLJAR can be used
screenshot_identifier - make it easier to search through your screenshots in Mac OS, by mining the data in the pictures using optical character recognition (OCR), and putting it in the title
react-native-vision-camera - 📸 The Camera library that sees the vision. [Moved to: https://github.com/mrousavy/react-native-vision-camera]
nano-neuron - 🤖 NanoNeuron is 7 simple JavaScript functions that will give you a feeling of how machines can actually "learn"
Quarkus - Quarkus: Supersonic Subatomic Java.
Nerve - This is a basic implementation of a neural network for use in C and C++ programs. It is intended for use in applications that just happen to need a simple neural network and do not want to use needlessly complex neural network libraries.