theo31

8 ms·

31.
by theo31 5y ago
thank you, fixed the typo :)
32.
Dockerize TensorFlow Models(inferrd.com)
1 points by theo31 5y ago|0 comments
33.
Show HN: The Spreadsheet for creative minds – LiveSheet(livesheet.co)
6 points by theo31 5y ago|10 comments
34.
Show HN: GPU-enabled PaaS for AI services(inferrd.com)
2 points by theo31 6y ago|0 comments
35.
by theo31 6y ago
Those extras are only available to certain customers. At this price it's more the easy-to-use part that is expensive rather than the hardware itself.
36.
Show HN: The easiest way to deploy TensorFlow – Inferrd v2.0(inferrd.com)
15 points by theo31 6y ago|3 comments
37.
Show HN: Inferrd 2.0 – One line TensorFlow deployment(inferrd.com)
2 points by theo31 6y ago|0 comments
38.
Show HN: TapeHouse, your team's private YouTube(tapehouse.co)
1 points by theo31 6y ago|0 comments
39.
Show HN: LiveSheet, the first no-code spreadsheet [No signup required](livesheet.co)
1 points by theo31 6y ago|0 comments
40.
Show HN: Upload, annotate, share Zoom recordings (for remote teams)(tapehouse.co)
3 points by theo31 6y ago|0 comments
41.
Show HN: Deploy any-size Keras model with a drag and drop(inferrd.com)
3 points by theo31 6y ago|0 comments
42.
by theo31 6y ago
1. No it's not open source, but I'm not excluding it from the roadmap :) The selling point is really the easiness of it. 2. Yes! We will be releasing tokens soon so that anyone can interact with the API. 3. Models can be up to 1GB
43.
by theo31 6y ago
For anyone looking to deploy ML models a little bit easier, check out https://inferrd.com It's a simple drag and drop to deploy tensorflow, scikit, spacy, keras or pytorch.
44.
by theo31 6y ago
I couldn't agree more, I started building a ML hosting platform to solve your second point. I'm thinking of building a managed NN service as it is a common pain point. https://inferrd.com
45.
Show HN: API to compare sentences using GloVe word embeddings(app.inferrd.com)
1 points by theo31 6y ago|0 comments
46.
Show HN: Free word/sentence vectorizer as an API(app.inferrd.com)
2 points by theo31 6y ago|0 comments
47.
Deploy Scikit Models to Production(blog.inferrd.com)
2 points by theo31 6y ago|0 comments
48.
by theo31 6y ago
We don’t offer GPU accelerated inference for now. However it’s on our roadmap, sign up for inferrd to get updates!
49.
by theo31 6y ago
You can definitely play with it, inferrd.com is free to use!
50.
Show HN: We Built a ML Hosting Platform with Google Cloud Run(blog.inferrd.com)
4 points by theo31 6y ago|2 comments
51.
by theo31 6y ago
Thank you for spotting that, it's 100MB.
52.
by theo31 6y ago
Theoretically we can support up to thousands of request per second under the entreprise plan. We stopped at 50 request/s in the pricing table because that seemed like a reasonable number for most use cases.
53.
by theo31 6y ago
Hi! We do not currently have PyTorch model but it's one of the next items in our roadmap. If you have a more custom pipeline, we have a custom environment where you can deploy any custom code with specific package versions!
54.
by theo31 6y ago
Hi! If don’t need any pre processing we have built in support for all the major librairies. In addition we support custom pre and post processor via custom environments! Simply write your inference code into a predict.py and we take care of
55.
Show HN: Deploy Scikit and Keras Models with a Simple Drag and Drop(inferrd.com)
25 points by theo31 6y ago|11 comments
56.
by theo31 6y ago
I broke my 16"'s screen because of this, and they asked me to pay $1000 to fix it. This was in January right after the 16" came out.
57.
Show HN: Train an AI from a Google Sheet(guesswrk.co)
4 points by theo31 7y ago|0 comments
58.
Show HN: Automated Artificial Intelligence with Spreadsheets(guesswrk.co)
5 points by theo31 7y ago|1 comments
59.
AWS (Us-East-1/EC2) Experiencing Elevated Error Rates and Connectivity Issues(status.aws.amazon.com)
2 points by theo31 7y ago|0 comments
60.
Show HN: Deploy and Monitor Trained Tensorflow Models(deepgradient.herokuapp.com)
2 points by theo31 7y ago|0 comments

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