calebkaiser

26 ms·

271.
Cortex v0.12: machine learning infrastructure for developers(medium.com)
3 points by calebkaiser 7y ago|0 comments
272.
Why we’re writing machine learning infrastructure in Go, not Python(towardsdatascience.com)
5 points by calebkaiser 7y ago|0 comments
273.
Benchmarking OpenAI’s GPT-2 on GPUs vs. CPUs(towardsdatascience.com)
2 points by calebkaiser 7y ago|0 comments
274.
Neutron Star’s “Halo” Could Help Solve Antimatter Mystery(futurism.com)
1 points by calebkaiser 7y ago|0 comments
275.
by calebkaiser 7y ago
Not the coolest exactly, but I've used Unsplash's API to generate random high quality images for projects a surprising amount of times: https://source.unsplash.com/
276.
A list of beginner-friendly NLP projects–using pre-trained models(towardsdatascience.com)
50 points by calebkaiser 7y ago|1 comments
277.
by calebkaiser 7y ago
I work on a free and open source project called Cortex that deploys PyTorch models (as well as other frameworks) as scalable APIs. It sounds perfect for what you're looking for: https://github.com/cortexlabs/cortex
278.
How much difference do GPUs make in model serving?(towardsdatascience.com)
3 points by calebkaiser 7y ago|0 comments
279.
by calebkaiser 7y ago
Similarly, I find that doing other work that can put me in a state of flow without engaging my "programming brain" is necessary for me to feel rested.
280.
How to run machine learning at scale–without going broke(towardsdatascience.com)
1 points by calebkaiser 7y ago|0 comments
281.
How to run machine learning at scale–without going broke(towardsdatascience.com)
8 points by calebkaiser 7y ago|0 comments
282.
How to explain code coverage to anyone(blog.codecov.io)
8 points by calebkaiser 7y ago|0 comments
283.
Machine Reading Comprehension in Production(towardsdatascience.com)
2 points by calebkaiser 7y ago|0 comments
284.
How to Use ML in Production: Text Classification(towardsdatascience.com)
1 points by calebkaiser 7y ago|0 comments
285.
by calebkaiser 7y ago
When you publish a story, they ask if you'd like them to curate it for distribution—then include that opting for distribution automatically paywalls your story. It's less than ideal.
286.
Machine Reading Comprehension in Production with AllenNLP(medium.com)
3 points by calebkaiser 7y ago|0 comments
287.
by calebkaiser 7y ago
Currently we only support AWS—though we're working on supporting GCP as soon as possible. What platform are you using now?
288.
An Open Source Stack for Managing and Deploying Models(towardsdatascience.com)
12 points by calebkaiser 7y ago|9 comments
289.
Ask HN: What pre-trained models have you used in production?
14 points by calebkaiser 7y ago|3 comments
290.
Deploy a Text Generating API with Hugging Face’s DistilGPT-2(towardsdatascience.com)
1 points by calebkaiser 7y ago|0 comments
291.
by calebkaiser 7y ago
The first project I ever put together involving (extremely trivial) ML used BERT, and something about seeing it just work opened my eyes to the ML world and got me excited to work in the space. If anyone is interested in hacking around wi