awesome-ai-safety VS fusionauth-jwt

Giskard - Testing framework for ML models| Multiple roles | Full-time | France | https://giskard.ai/

We are building the first collaborative & open-source Quality Assurance platform for all ML models - including Large Language Models.

Founded in 2021 in Paris by ex-Dataiku engineers, we are an emerging player in the fast-growing market of AI Quality & Safety.

Giskard helps Data Scientists & ML Engineering teams collaborate to evaluate, test & monitor AI models. We help organizations increase the efficiency of their AI development workflow, eliminate risks of AI biases and ensure robust, reliable & ethical AI models. Our open-source platform is used by dozens of ML teams across industries, both at enterprise companies & startups.

In 2022, we raised our first round of 1.5 million euros, led by Elaia, with participation from Bessemer and notable angel investors including the CTO of Hugging Face. To read more about this fundraising and how it will accelerate our growth, you can read this announcement: https://www.giskard.ai/knowledge/news-fundraising-2022

In 2023, we received a strategic investment from the European Commission to build a SaaS platform to automate compliance with the upcoming EU AI regulation. You can read more here: https://www.giskard.ai/knowledge/1-000-github-stars-3meu-and...

We are assembling a team of champions: Software Engineers, Machine Learning researchers, and Data Scientists ; to build our AI Quality platform and expand it to new types of AI models and industries. We have a culture of continuous learning & quality, and we help each other achieve high standards & goals!

We aim to grow from 15 to 25 people in the next 12 months. We're hiring the following roles:

Giskard - Testing framework for ML models| Multiple roles | Full-time | France | https://giskard.ai/

We are building the first collaborative & open-source Quality Assurance platform for all ML models - including Large Language Models.

Founded in 2021 in Paris by ex-Dataiku engineers, we are an emerging player in the fast-growing market of AI Safety & Security.

Giskard helps Data Scientists & ML Engineering teams collaborate to evaluate, test & monitor AI models. We help organizations increase the efficiency of their AI development workflow, eliminate risks of AI biases and ensure robust, reliable & ethical AI models. Our open-source platform is used by dozens of ML teams across industries, both at enterprise companies & startups.

In 2022, we raised our first round of 1.5 million euros, led by Elaia, with participation from Bessemer and notable angel investors including the CTO of Hugging Face. To read more about this fundraising and how it will accelerate our growth, you can read this announcement: https://www.giskard.ai/knowledge/news-fundraising-2022

In 2023, we received a strategic investment from the European Commission to build a SaaS platform to automate compliance with the upcoming EU AI regulation. You can read more here: https://www.giskard.ai/knowledge/1-000-github-stars-3meu-and...

We are assembling a team of champions: Software Engineers, Machine Learning researchers, and Data Scientists ; to build our AI Quality platform and expand it to new types of AI models and industries. We have a culture of continuous learning & quality, and we help each other achieve high standards & goals!

We aim to grow from 15 to 25 people in the next 12 months. We're hiring the following roles:

* Software Engineer - https://apply.workable.com/giskard/j/AD2C90B581/ (Python, Java, Typescript, Vue.js, Cloud skills)

* Machine Learning Researcher - https://apply.workable.com/giskard/j/E89FE8E310/ (post-PhD)

* Data Science lead - https://apply.workable.com/giskard/j/E89FE8E310/ (ML + consulting experience required)

* Growth marketing intern - https://apply.workable.com/giskard/j/C8635E9B0C/

* Data Science intern - https://apply.workable.com/giskard/j/7F0B341852/

Hi! I’ve been working on this automatic scanner for ML models to detect issues like underperforming data slices, overconfidence in predictions, robustness problems, and others. It supports all main Python ML frameworks (sklearn, torch, xgboost, …) and integrates with the quality assurance solution we are building at Giskard AI (https://giskard.ai) to systematically test models before putting them in production.

It is still a beta and I would love to hear your feedback if you have the time to try it out.

We have quite a few tutorials in the docs with ready-made colab notebooks to make it easy to get started.

If you are interested in the code:

https://github.com/Giskard-AI/giskard/tree/main/python-clien...

Repository: https://github.com/Giskard-AI/awesome-ai-safety

FusionAuth is one of the most decorated and successful open-source IAM solutions. It has been downloaded by more than 10 million customers and hosts over 1 million digital identities.

Ideally, I would recommend not handling and storing passwords yourself. It is preferable to use an identity provider (IdP), such as Azure AD B2C, Auth0, or FusionAuth. These systems are designed to manage your users' identity (including their passwords) so you don't have to. You could also use Single Sign-On with cloud providers.

Check out https://fusionauth.io/

Concur.

Another data point. Our open source JWT library[0] and Java client library[1] both target Java 8 because that is widely used.

0: https://github.com/FusionAuth/fusionauth-jwt

1: https://github.com/FusionAuth/fusionauth-java-client

FusionAuth | Senior Java Engineer, Senior TechOps Engineer, Senior Support Engineer | Full-time | Denver CO, USA | https://fusionauth.io

FusionAuth is the authentication and authorization platform built for devs, by devs. Our software solves the problem of integrating essential user security without adding risk or distracting from the primary application.

Ya know, the one with the features your users want to pay you for.

FusionAuth comes without the risk and complexity that typical identity systems have. With self-hosted or cloud installation, extensive documentation, free options, fast deployment and a no-hassle process, we eliminates hurdles that make it hard for developers to meet their authentication and authorization requirements.

We aren't VC funded, but we are profitable, growing fast, and need your help. We are currently hiring for the following roles:

Senior Java Engineer

Senior TechOps Engineer

Senior Support Engineer

Learn more, including salary info, what makes us tick, and role expectations, here: https://fusionauth.io/jobs

But I rarely see a comprehensive comparison that is current for any of them. And then there are others out there like Teleport and FusionAuth.

JWT processing for java. Fast: https://github.com/skjolber/java-jwt-benchmark

This article is based upon a presentation from Dan Moore of FusionAuth.

FusionAuth is a powerful identity and access management platform that makes it easy to add authentication and authorization to your applications. In this blog post, we'll explore how to integrate FusionAuth with a Python Flask application using OAuth 2.0, covering features such as login, displaying user profile information, and logout functionality.