Freezing Python’s Dependency Hell in 2018
The challenge of managing dependencies in Python has been described by many different people. It’s a storied past, which has left a history of conflicting posts across the web. Even with state-of-the-art best practices, you can still end up in Dependency Hell when adding new dependencies, because there is an open issue for pip first reported in 2013 to implement dependency resolution. The usual se
How to build a deep learning model in 15 minutes
An open source framework for configuring, building, deploying and maintaining deep learning models in Python. As Instacart has grown, we’ve learned a few things the hard way. We’re open sourcing Lore, a framework to make machine learning approachable for Engineers and maintainable for Machine Learning Researchers. A common feeling in Machine Learning: Uhhh, this single sheet of paper does not tell
Deep Learning with Emojis (not Math)
Sorting shopping lists with deep learning using Keras and Tensorflow. Shopping for groceries is hard. Stores are large and have complex layouts that are confusing to navigate. The hummus you want could be in the dairy section, the deli section, or somewhere else entirely. Efficiently navigating a store can be a daunting task. At Instacart, our customers can order millions of products from hundreds
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