Papers with Code VS Banana.dev
Compare Papers with Code VS Banana.dev and see what are their differences
Warmbox.ai
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Warmbox.ai
Papers with Code
ML5.js
Amazon Machine Learning
Machine Learning Playground
arXiv
Lobe
mlblocks
Spell
Banana.dev
Neuro
GPU.LAND
Clever Grid
mlblocks
Lobe
TensorFlow Lite
Vast.ai
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Based on our record, Papers with Code should be more popular than Banana.dev. It has been mentiond 96 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.
Papers With Code is one of the good resources to get you to get started. - Source: dev.to / 10 days ago
For ML/DL papers you can check https://paperswithcode.com/. - Source: Hacker News / 4 months ago
This resource has been invaluable to me: https://paperswithcode.com/ From the past examples you give it sounds like you were into computer vision. There’s been a ton of developments since then, and I think you’d really enjoy the applications of some of those classic convolutional and variational encoder techniques in combination with transformers. A state of the art multimodal non-autoregressive neural net model... - Source: Hacker News / 5 months ago
And also you can find papers with their implementations in code here: http://paperswithcode.com. - Source: Hacker News / 5 months ago
Check out paperswithcode, scroll through arxiv, or browse some well-known conferences in the field (NeurIPS, ICML). Source: 5 months ago
For the inference part, you can dockerise your model and use https://banana.dev for serverless GPU. They have examples on github on how to deploy and I’ve done it last year and was pretty straightforward. - Source: Hacker News / 6 days ago
I want to first check the user's ID and only if the user has an active subscription then the request will be forwarded to my API on banana.dev else the request will be blocked at the middleware itself. Should I use Express JS for the middleware i.e. Authentication and forwarding requests? Is there any other better way to improve my project structure? Currently it looks like:. Source: 5 months ago
Hey! Would love to have you try https://banana.dev (bias: I'm one of the founders). We run A100s for you and scale 0->1->n->0 on demand, so you only pay for what you use. I'm at erik@banana.dev if you want any help with it :). - Source: Hacker News / 12 months ago
CAN you do this in AWS? Of course, do they have a service that does exactly what this banana.dev does? Probably not. Source: about 1 year ago
I've been using banana.dev for easily running my ML models on GPU in a serverless manner, and interacting with them as an API. Although the principle of the service is sound, it is currently too buggy to take into production (very long cold boots, errorring requests, always hitting capacity). Source: about 1 year ago
ML5.js - Friendly machine learning for the web
Neuro - Instant infrastructure for machine learning
Amazon Machine Learning - Machine learning made easy for developers of any skill level
GPU.LAND - Cloud GPUs for Deep Learning — for ⅓ the price!
Machine Learning Playground - Breathtaking visuals for learning ML techniques.
Clever Grid - Easy to use and fairly priced GPUs for Machine Learning