VulnerableApp
igel
VulnerableApp | igel | |
---|---|---|
16 | 11 | |
252 | 3,080 | |
1.2% | - | |
7.3 | 1.1 | |
4 months ago | about 1 year ago | |
Java | Python | |
Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
VulnerableApp
- Hacktoberfest'21
- Hacktoberfest Interesting tasks for contribution
- Looking for a cool Vulnerable applications for contributing to open source? Visit https://github.com/SasanLabs/VulnerableApp and https://github.com/SasanLabs/VulnerableApp-facade
- Owasp VulnerableApp
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Sponsoring open source projects, share about your project
https://github.com/SasanLabs/VulnerableApp It is a Vulnerable Application that helps the Scanners in improving themselves and also helps students learn about security. It is registered under Owasp as an Incubator project. Users are Owasp ZAP and SonarSolar and a bunch of students.
- Owasp VulnerableApp: A VulnerableApplication to help scanner evaluate themselves and also for students to learn about vulnerabilities.
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Looking for an opensource contributor who can work on User Interface/UX with vanilla JS/CSS/Html. If you want to contribute to open source project which is under the OWASP umbrella and be part of a community to help people about security.
Please do send an email to [[email protected]](mailto:[email protected]) or comment below. Incase you want to know more about the project, please go through the readme of the project
- Owasp VulnerableApp (https://github.com/SasanLabs/VulnerableApp)
- Owasp VulnerableApp: Looking to learn security ? or Looking to evaluate how well scanner is doing ?
- Owasp VulnerableApp to help scanner evaluate themselves and for students to learn about web application security
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 โ A CLI tool to run machine learning without writing code: https://github.com/nidhaloff/igel
What are some alternatives?
VulnerableApp-facade - VulnerableApp-facade is probably most modern lightweight distributed farm of Vulnerable Applications built for handling wide range of vulnerabilities across tech stacks.
Home Assistant - :house_with_garden: Open source home automation that puts local control and privacy first.
owasp-zap-jwt-addon - OWASP ZAP addon for finding vulnerabilities in JWT Implementations
AI-Expert-Roadmap - Roadmap to becoming an Artificial Intelligence Expert in 2022
react-native-vision-camera - ๐ธ The Camera library that sees the vision. [Moved to: https://github.com/mrousavy/react-native-vision-camera]
profanity - Ncurses based XMPP client
react-native-blurhash - ๐ผ๏ธ A library to show colorful blurry placeholders while your content loads.
nnAudio - Audio processing by using pytorch 1D convolution network
python-benchmark-harness - A micro/macro benchmark framework for the Python programming language that helps with optimizing your software.
deep-translator - A flexible free and unlimited python tool to translate between different languages in a simple way using multiple translators.
react-native-multithreading - ๐งต Fast and easy multithreading for React Native using JSI
mljar-examples - Examples how MLJAR can be used