cerbos
examples
cerbos | examples | |
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42 | 143 | |
2,530 | 7,763 | |
4.2% | 0.8% | |
9.6 | 5.3 | |
6 days ago | 5 days ago | |
Go | Jupyter Notebook | |
Apache License 2.0 | Apache License 2.0 |
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.
cerbos
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How to Implement Authorization in React JS
Here, Cerbos comes into the picture.
- Open Policy Agent
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Nuxt authorization: How to implement fine-grained access control
In this tutorial you will learn how to use Cerbos to add fine-grained access control to any Nuxt web application, simplifying authorization as a result.
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๐๏ธโ๏ธ Innovate Like Da Vinci: Blending Art and Science in Software Development
In my work with Cerbos, I apply the lessons learned from Da Vinci to tackle authorization challenges. Our approach is to create solutions where functionality seamlessly integrates with developer experience. Constantly iterating and viewing the tools through the users' lens, helps ensure that our access control solutions are robust and dev-friendly.
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Get started with Cerbos Hub
You may already know of our open source solution - Cerbos Policy Decision Point (PDP); a devtool which helps developers enforce access control over different parts of their software. If you need to learn more about Cerbos in general, we strongly recommend checking out the website and the docs.
- ๐ป 7 Open-Source DevTools That Save Time You Didn't Know to Exist โ๐
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Cerbos v0.32 released!
GitHub: https://github.com/cerbos/cerbos URL: https://cerbos.dev
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Feedback needed: Cerbos Hub is now in public beta
Cerbos Hub is a managed service offering for the open source authorization product, Cerbos.
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Feedback needed: Cerbos Hub is now in public beta!
Hello fellow devs! I'm with Cerbos (https://cerbos.dev/), a tool designed to manage who can do what in your software applications.
examples
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My Favorite DevTools to Build AI/ML Applications!
TensorFlow, developed by Google, and PyTorch, developed by Facebook, are two of the most popular frameworks for building and training complex machine learning models. TensorFlow is known for its flexibility and robust scalability, making it suitable for both research prototypes and production deployments. PyTorch is praised for its ease of use, simplicity, and dynamic computational graph that allows for more intuitive coding of complex AI models. Both frameworks support a wide range of AI models, from simple linear regression to complex deep neural networks.
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Open Source Ascendant: The Transformation of Software Development in 2024
AI's Open Embrace Artificial intelligence (AI) and machine learning (ML) are increasingly leveraging open-source frameworks like TensorFlow [https://www.tensorflow.org/] and PyTorch [https://pytorch.org/]. This democratization of AI tools is driving innovation and lowering entry barriers across industries.
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Best AI Tools for Students Learning Development and Engineering
Which label applies to a tool sometimes depends on what you do with it. For example, PyTorch or TensorFlow can be called a library, a toolkit, or a machine-learning framework.
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Releasing The Force Of Machine Learning: A Noviceโs Guide ๐
TensorFlow: An open-source machine learning framework for high-performance numerical computations, especially well-suited for deep learning.
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MLOps in practice: building and deploying a machine learning app
The tool used to build the model per se was TensorFlow, a very powerful and end-to-end open source platform for machine learning with a rich ecosystem of tools. And in order to to create the needed script using TensorFlow Jupyter Notebook was used, which is a web-based interactive computing platform.
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๐ฅ14 Excellent Open-source Projects for Developers๐
10. TensorFlow - Make Machine Learning Work for You ๐ค
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GPU Survival Toolkit for the AI age: The bare minimum every developer must know
AI models, particularly those built on deep learning frameworks like TensorFlow, exhibit a high degree of parallelism. Neural network training involves numerous matrix operations, and GPUs, with their expansive core count, excel in parallelizing these operations. TensorFlow, along with other popular deep learning frameworks, optimizes to leverage GPU power for accelerating model training and inference.
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๐ฅ๐ Top 10 Open-Source Must-Have Tools for Crafting Your Own Chatbot ๐ค๐ฌ
#2 TensorFlow
- Are there people out there who still like Sam atlman - AI IS AT DANGER
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Tensorflow help
I am on a new ftc team trying to get vision to work. I used the ftc machine learning tool chain but I have yet to get a good result with at best a 10% accuracy rate. I have changed everything possible in the tool chain with little luck. To fix this, I have tried making my own .tflite model using the google colab from https://www.tensorflow.org/. When ever I try to run the same code with my own .tflite model, it gives me the error "User code threw an uncaught exception: IllegalStateException - Error getting native address of native library: task_vision_jni". It gives me the same error with official tensor flow tflite test models, and when I put them on a raspberry pi, both worked just fine. Does anyone have a fix to this error or even just tips for the machine learning toolchain?
What are some alternatives?
OPA (Open Policy Agent) - Open Policy Agent (OPA) is an open source, general-purpose policy engine.
cppflow - Run TensorFlow models in C++ without installation and without Bazel
casbin-server - Casbin as a Service (CaaS)
mlpack - mlpack: a fast, header-only C++ machine learning library
Ory Keto - Open Source (Go) implementation of "Zanzibar: Google's Consistent, Global Authorization System". Ships gRPC, REST APIs, newSQL, and an easy and granular permission language. Supports ACL, RBAC, and other access models.
awesome-teachable-machine - Useful resources for creating projects with Teachable Machine models + curated list of already built Awesome Apps!
oso - Oso is a batteries-included framework for building authorization in your application.
face-api.js - JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js
opa-envoy-plugin - A plugin to enforce OPA policies with Envoy
Selenium WebDriver - A browser automation framework and ecosystem.
sso-wall-of-shame - A list of vendors that treat single sign-on as a luxury feature, not a core security requirement.
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing