Algorithmia – Open Marketplace for Algorithms(algorithmia.com)
algorithmia.com
Algorithmia – Open Marketplace for Algorithms
https://algorithmia.com/
34 comments
I've walked past your Post Alley office countless times on my commute. Good to see a local name on the front page!
stop by any time, we always like talking to developers.
I'm also interested in stopping by sometime (I live nearby and am the founder of cocalc.com).
please do!
I plan to do this someday too. I've reached out to several on your team via LinkedIn and have been greeted by a lot of friendly people.
very interesting. Is there any kind of forum where you can state a problem and someone can suggest what AI/ML to try and apply to the problem?
We have an IOT platform where we have thousands of sensors gathering all kinds of data for all kinds of industries, there are lots of interesting things we could do with the data. A lot would be around predicting the future, other situations is about classifying complex data streams as a certain kind of events which we can then use as alarms or information for decision making.
We have an IOT platform where we have thousands of sensors gathering all kinds of data for all kinds of industries, there are lots of interesting things we could do with the data. A lot would be around predicting the future, other situations is about classifying complex data streams as a certain kind of events which we can then use as alarms or information for decision making.
Awesome. Would love to hear more about what you're doing. Do you have a site?
That sounds a lot like what these guys do: http://www.sentiance.com
That's awesome. Honestly I submitted this to HN as a way to look up comments about your site. I was surprised when it came up as a new submission. This is the first time that my 'submission to find the comments' ended up on the front page. I'm glad it made your day.
Competitors include:
* Azure Cognitive Services (REST-based)
https://azure.microsoft.com/en-us/services/cognitive-service...
* Amazon ML (REST-based), including Polly, Rekognition etc.
https://aws.amazon.com/machine-learning/?nc2=h_l3_ai
AI-as-a-Service is a interesting space that is likely to grow over time.
Part of the problem with doing AI in-house is that it's really hard/expensive to get large corpuses of correctly labeled data to train your algorithms on, so what these folks are really selling is a set of trained model weights exposed as an API.
* Azure Cognitive Services (REST-based)
https://azure.microsoft.com/en-us/services/cognitive-service...
* Amazon ML (REST-based), including Polly, Rekognition etc.
https://aws.amazon.com/machine-learning/?nc2=h_l3_ai
AI-as-a-Service is a interesting space that is likely to grow over time.
Part of the problem with doing AI in-house is that it's really hard/expensive to get large corpuses of correctly labeled data to train your algorithms on, so what these folks are really selling is a set of trained model weights exposed as an API.
Is there some legal/technical reason you couldn't encapsulate their APIs?
Resell Microsoft or Amazon APIs? I don’t see why not but it sounds a bit like misrepresentation to me.
monkeylearn.com is kind of in the space too albeit not as large.
indeed not even close to being that large. But super easy to use and only focused on NLP.
Disclaimer: I work at http://www.monkeylearn.com/
Disclaimer: I work at http://www.monkeylearn.com/
Algorithmia is great. They're hosting one our summarization algo's https://algorithmia.com/algorithms/SummarAI/Summarizer
Algorithms are valuable, but in the scope of machine learning what is becoming increasingly valuable are data sets.
The algorithm is one very important building block but a good data set is what finally allows you to materialize a solution.
The algorithm is one very important building block but a good data set is what finally allows you to materialize a solution.
this is exactly what I say every single time someone shows off a project like this. Give me valuable data (and lots of it).
Instead of an algorithm store, have a dataset store. I wanna buy a dataset of 1 million tagged stackoverflow questions. I wanna buy a dataset of 1 million random Amazon reviews. I wanna buy a dataset of 1 million blog comments. i wanna buy a dataset updated monthly of billions of new urls found in the web. data, data, data.
with data I can come up with a crude algorithm that works in a day. with no data, not even the most sophisticated algorithm will work.
Instead of an algorithm store, have a dataset store. I wanna buy a dataset of 1 million tagged stackoverflow questions. I wanna buy a dataset of 1 million random Amazon reviews. I wanna buy a dataset of 1 million blog comments. i wanna buy a dataset updated monthly of billions of new urls found in the web. data, data, data.
with data I can come up with a crude algorithm that works in a day. with no data, not even the most sophisticated algorithm will work.
Check out Synapse.AI basically answers your question to data + ML models -- in a decentralized way.
A related endeavor is James Simons' Flatiron Institute.
They're creating bespoke algorithms for academics in the fields of computational biology, computational astronomy, and computational quantum physics -- replacing current practice of passing down old, duct taped Fortran code from professors to grad students.
There was an interesting profile in the New Yorker a few days ago: https://www.newyorker.com/magazine/2017/12/18/jim-simons-the...
They're creating bespoke algorithms for academics in the fields of computational biology, computational astronomy, and computational quantum physics -- replacing current practice of passing down old, duct taped Fortran code from professors to grad students.
There was an interesting profile in the New Yorker a few days ago: https://www.newyorker.com/magazine/2017/12/18/jim-simons-the...
Took a deep dive yesterday comparing a few tagging/classification algorithms to the Google Cloud Natural Language and AWS Comprehend APIs, and I have to say I'm impressed.
I've been searching for the right tool to try to add tagging to a large dataset of charitable data, and while I couldn't find anything off the shelf at Algorithmia, the GUI allows for easy forking and adjustment of existing algorithms. As a primarily front-end developer, never thought machine learning would be this accessible. Great work!
I've been searching for the right tool to try to add tagging to a large dataset of charitable data, and while I couldn't find anything off the shelf at Algorithmia, the GUI allows for easy forking and adjustment of existing algorithms. As a primarily front-end developer, never thought machine learning would be this accessible. Great work!
If there's something that you need—please use the chat box to tell us what you need. We have engineers that are constantly helping devs get their algos dialed in. If you're doing 501c3 work you can probably ask for some bonus credits as well (we love helping good causes :) )
I never used this platform until today, wow.
This reminds me of old Mashape and early Blockspring if they had a baby (loved those). I'm very excited to dig into this more! WOW, I can tell more developers would love this if there was more outreach and love around this product!
Welcome to the community :) What would you like to see?
- Video tutorials - at least for the onboarding to show around the platform and get users adopt faster (other than the hello world). Cause when we did the api marketplace rebuild from the UX perspective we messed up the onboarding (for a while) because we didn't give users a clear explanation of what they had to do to get started. There was too much text in the docs and too many buttons - once we fixed that users started consuming APIs within a minute
- Integrations with other platforms - how can I use this with something like Zapier (where all the non techies live)
- Community <-> Have a question? Join our Community slack/discord/board whatever instead of emailing you.
- Integrations with other platforms - how can I use this with something like Zapier (where all the non techies live)
- Community <-> Have a question? Join our Community slack/discord/board whatever instead of emailing you.
Awesome. Thanks!
- In January we're going to start live webinars where users can ask questions and we can help with specific questions. We'll use those recordings to make some onboarding videos.
The second two are great ideas. I'm going to see if we can get them on the road map ~ Mike
Good luck my dude! Keep rocking it
This is really great! Being able to deploy without installing anything + having the pricing set per API call is exactly what I've been needing.
If we can help—let us know. We've got Intercom chat going and engineers ready to help you get going :)
There is an decentralized AI/ML startup building something in this domain on top of Ethereum called Synapse.AI you'll want to check out if you're interested in Web3 stuff. They do both the data, algorithms, and other functionality to help autonomous agents grow.
Numerai also wants to monopolize Data and ML models in a decentralized way, and I believe that is also on Ethereum.
There is also Enigma, Doc.ai, and a few others if you're interested in this space.
Numerai also wants to monopolize Data and ML models in a decentralized way, and I believe that is also on Ethereum.
There is also Enigma, Doc.ai, and a few others if you're interested in this space.
Seems like they are mainly focused on data collecting and monetizing. Do you see something about them hosting AI/ML models?
Yeah read the yellow paper. It's all about connecting data to models and beyond. It's next level stuff. It's been posted a lot in the groups I'm a part of and people are saying it's part of some crazy automated future of AI and robots.
As a thank you here's a code to get 30,000 credits on me to test out some of the algorithms. Here's the code: HNDec2017