jbencook (@jbencook) header
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Helping data science teams deploy their algorithms.

Joined December 2020
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jbencook retweeted
🎉 Introducing 𝗱𝘃𝗰 𝗲𝘅𝗽 𝗶𝗻𝗶𝘁! 🎉 Making it easier to get up and running, tracking and 𝘃𝗲𝗿𝘀𝗶𝗼𝗻𝗶𝗻𝗴 experiments with DVC! 1/4
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It was , as always, great fun hanging out with @donnywinston @jbencook on the @dsdeployed podcast! Livestream - youtu.be/SAQmOENaO78 Or you can subscribe where the podcasts are - datasciencedeployed.io/e/epi…
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jbencook retweeted
Want your machine learning project to be as far as possible from production? Start it in a notebook.
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Check out my last (short) article on @sicara_fr blog: How to Automate @DVCorg Pipelines with Makefile? sicara.ai/blog/automate-dvc-…
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Software engineering for data science is such a glaring, unsolved problem. I've worked for years at the intersection of the two and am still amazed by how difficult it is to write good, maintainable code for data science and how no one really even knows what that means yet.
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Migrated from Git LFS to DVC from @DVCorg a few months back. Model/dataset version control has never been smoother. We now spend way less time uploading and downloading large model/dataset versions manually. #Data #MLOps #DeepLearning #ArtificialIntelligence @Iterativeai
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Learn how and why to deploy your #Bioinformatics Solutions on #AWS bit.ly/3trvdPl
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Useful tips and cool tech if you are thinking if there is a better way to version your data in #datascience by @jillianerowe and the @dsdeployed team xitter.cf/jillianerowe/status/14…
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Replying to @jbencook
x100 - argparse has that vintage, je ne sais quoi that suggests you’d train artisanal models with a vanilla Bourne Shell if only Torch had the right “shellTorch” bindings.
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What's the best way to install Poetry and why isn't it pip install poetry==1.1.6?
I nominate Fire for most underrated Python package — I don't understand why people still use argparse github.com/google/python-fir…
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Remote containers are the killer feature of VS Code because you can debug your Python code on a remote machine. That means you can run code that touches CUDA from your laptop. sparrow.dev/devcontainers-qu…
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VS Code is better than PyCharm: 1) it’s an open source project with a huge community 2) features get added faster (because of 1) and 3) it works well for languages other than Python.
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Jupyter notebooks are one of the most popular ways to write Python code and for good reason: they make it easy to get up and running. But they are a terrible way to write production quality Python code.
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Getting Started with TorchVision Datasets sparrow.dev/torchvision-data…
What is this voodoo?
🤯Tested out the AITK-#Keras library today with @Github.dev and a few web-enabled extensions for @code, and still can't believe MNIST trained so quickly! Remember: this might be a neural network, but it's built in the browser using only #Python libraries compiled to WebAssembly.
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