AI and Machine Learning Operationalization

3 Review

Artificial Intelligence, AI and Machine Learning Operationalization

DarwinAI, an explainable AI company, enables enterprises to build AI they can trust. Founded by renowned academics at the University of Waterloo, DarwinAI’s Generative Synthesis technology makes explainability real, allowing developers to understand, interpret and quantify the inner workings of a deep neural network. Based on years of distinguished…

3 Review

Artificial Intelligence, AI and Machine Learning Operationalization

Even the best models tend to fall out of fit over time due to inherent bias, data integrity issues, or real-life changes. The gradual nature of model drift often delays detection. With Aporia, you will create high-quality monitors that perfectly match your models and identify issues way before your customers do.

3 Review

Artificial Intelligence, AI and Machine Learning Operationalization

If you are a data scientist or engineer, at some point you want to bring your algorithm to production. And that means installing libraries, managing dependencies, deploying your scrips and models, versioning, serving, and running out of compute. Let’s be honest: deployment is hard. The tools we use are not as helpful as they could be, because they are…

2 Review

Artificial Intelligence, AI and Machine Learning Operationalization

Comet lets you track code, experiments, and results on ML projects. It's fast, simple, and free for open source projects.

1 Review

Artificial Intelligence, AI and Machine Learning Operationalization, Deep Learning

OpenAI is an AI research and deployment company. Our mission is to ensure that artificial general intelligence benefits all of humanity. We are building safe and beneficial AGI, but will also consider our mission fulfilled if our work aids others to achieve this outcome. We are governed by a nonprofit and our unique capped-profit model drives our…