Based on our record, iExec should be more popular than Evidently AI. It has been mentiond 8 times since March 2021. 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.
Ontochain projects have not yet begun to use the sidechain, but they should be very soon. The oracle factory upgrade from the beta version, should also give much more usage to the iexec marketplace. You can find current usage at :https://iex.ec/ . Source: almost 2 years ago
Let us know what you think: https://iex.ec. Source: almost 2 years ago
iExec (RLC) claims to have developed the first decentralized marketplace for cloud computing resources. Blockchain technology is used to organize a market network where users can monetize their computing power, applications, and datasets. By providing on-demand access to cloud computing resources, iExec is reportedly able to support compute-intensive applications in fields such as AI, big data, healthcare,... Source: almost 2 years ago
There are also lots of compute networks, that compete with cloud offerings of AWS, and google cloud and microsoft. Like Golem, pp.io, iex.ec, etc. Source: over 2 years ago
It's the explorer listed on iexec's website https://iex.ec/. Kinda alarming if a person wanted to setup an account with them to have a worker earn RLC. Looks like they wouldn't even be able to and it's been down for hours. Source: almost 3 years ago
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
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