philth

5 ms·

1.
by philth 4y ago
Big fan of projects like BentoML, the whole ML space is powered by some truly great projects. What we've tried to do with truss is create an experience that is optimizing for simplicity and universality. Our roadmap begins to deviate a
2.
Tasmanian 'book detective' reunites customers with long-lost books(abc.net.au)
2 points by philth 4y ago|0 comments
3.
by philth 5y ago
as the sibling comment mentioned, the other two founders were recently on a podcast with more details, but i can give the TLDR here: we've all worked as ML practitioners or supporting them in engineering roles. We realised there are co
4.
by philth 5y ago
Hi HN, I'm one of the founders and would love to give some context. Our aim is to make building machine learning powered applications as painless as possible. We built the product that we wish existed when we were flailing about, tryin
5.
by philth 5y ago
Hi HN. We’re excited to launch BaseTen today. Our aim is to make building machine learning powered applications as painless as possible for data scientists and engineers. We’ve built a product that allows users to seamlessly integrate ML mo
6.
by philth 9y ago
Starling | Front End Engineer & Full Stack Engineer & Security Engineer | SF | Full-Time | Onsite Starling exists to make organizations better. We're an aggregation and analysis platform for People data, helping companies creat
7.
by philth 10y ago
Starling | Front End Engineer & Full Stack Engineer & Security Engineer | SF | Full-Time | Onsite Starling exists to make organizations better. We're a data aggregation and analysis platform for People data, helping companies c
8.
Thinking Machine 6(bewitched.com)
4 points by philth 10y ago|1 comments
9.
by philth 10y ago
There is a great post [1] on stack overflow that might help contextualise this development. [1] http://stats.stackexchange.com/questions/203288/understandin...
10.
Real-Time Expression Transfer for Facial Reenactment(graphics.stanford.edu)
1 points by philth 11y ago|0 comments
11.
by philth 11y ago
Keep us posted on your discoveries. It would be interesting to see how different the embedding is to word2vec trained on a different corpus. I imagine borrowed words like "python" are clustered with programming languages rather th