It's one thing to deploy grab a model and deploy it into production, it's another to iterate, collaborate, and extend the dataset like you would code. We have seen the problem of dataset management over and over for years, and wanted to build a solution around it. We are a couple ex-IBM Watson engineers (original AlchemyAPI which was acquired into IBM). You can checkout some performance numbers on the CelebA facial recognition dataset here. The tooling can index hundreds of thousands of images in seconds and uses fast hashing and modern network protocols to sync it to the remote extremely fast. Ie the types of data you need to work with for modern machine learning systems. We have been working on an open source data version control tool, built in Rust, and aimed at versioning large sets of images, videos, audio, text, data frames, etc. I posted this in the r/rust subreddit, and it was getting some good feedback over there so thought I'd see what people think over here. They prioritize commercial interests over intellectual ones.Ĭhatrooms Official Discord Server Wiki Getting Started with Machine Learning Resources Related Subreddits /r/MachineLearning /r/MLQuestions /r/datascience /r/computervision Machine Learning Multireddit /m/machine_learning Do not share referral links and other purely marketing content.Keep our subreddit fresh by posting your YouTube series or blog at most once a week. ![]()
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