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Watch Your Hack might be a bit more popular than Evidently AI. We know about 2 links to it since March 2021 and only 2 links to Evidently AI. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
It is doable. However the main focus of MLFlow is in experiment tracking. I would suggest for you to look into another monitoring tools such evidentlyai . You can track more things than performance (e.g.data drift). Which may be helpful in a production setting. Source: almost 2 years ago
Evidently is an open-source Python library that analyzes and monitors machine learning models. It generates interactive reports based on Panda DataFrames and CSV files for troubleshooting models and checking data integrity. These reports show model health, data drift, target drift, data integrity, feature analysis, and performance by segment. - Source: dev.to / over 2 years ago
The website is a manual of how to keep safe online and it has been created by six professional hackers and it's called: https://watchyourhack.com/. Source: almost 2 years ago
Https://watchyourhack.com/ Watch Your Hack explains how to protect yourself from hackers, in laymans terms. Six professional hackers helped create this manual. Source: almost 2 years ago
ML Showcase - A curated collection of machine learning projects
Privacy.com - Get a new virtual card for every transaction
Censius.ai - Building the future of MLOps
PrivacyAngel - FInd out how to protect your privacy across platforms 🕵
iko.ai - Real-time collaborative notebooks on your own Kubernetes clusters to train, track, package, deploy, and monitor your machine learning models.
No More Google - Privacy-friendly alternatives to Google products ❤️