mmq

22 ms·

211.
DoorDash is reportedly raising $500M at a $6B+ valuation(techcrunch.com)
3 points by mmq 8y ago|0 comments
212.
by mmq 8y ago
I have attempted to do something similar in 2017 [1]. A couple of issues I noticed: * The field is evolving quite rapidly, and so most options will require a lot of configuration, which IMO is not suitable for a declarative approach. * It&#
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Companies raising supergiant VC aren’t getting any younger(techcrunch.com)
1 points by mmq 8y ago|0 comments
214.
Amazon acquired robotics company Dispatch to build Scout(techcrunch.com)
64 points by mmq 8y ago|11 comments
215.
Heptio to end work on ksonnet and the GitHub repositories will be archived(blogs.vmware.com)
2 points by mmq 8y ago|0 comments
216.
The Best and Worst gadgets of 2018(techcrunch.com)
1 points by mmq 8y ago|0 comments
217.
by mmq 8y ago
It actually gives a lot of idea and validation for concepts that I was thinking about for my project https://github.com/polyaxon/polyaxon , namely for going from trained model to serving those models on other platforms
218.
AI Transformation Playbook – How to lead your company into the AI era(landing.ai)
34 points by mmq 8y ago|1 comments
219.
Dear Founder: You’re Not the Best Person to Run Your Company(about.crunchbase.com)
2 points by mmq 8y ago|0 comments
220.
After losing half its value, Nvidia faces reckoning(techcrunch.com)
220 points by mmq 8y ago|194 comments
221.
by mmq 8y ago
I made this code https://github.com/mouradmourafiq/tensorflow-lstm-regression at least 6 months earlier than the first push in the github repo you mentioned, and I am sure many people did some version before that. A lo
222.
Hidden Technical Debt in Machine Learning Systems[pdf](papers.nips.cc)
2 points by mmq 8y ago|0 comments
223.
by mmq 8y ago
Can you elaborate a bit more about your usage of GitLab CI/CD for model management/development. I am currently working on a platform [1] that tries to solve some of the issues mentioned in the article, i.e. improving data scientis
224.
by mmq 8y ago
Polyaxon, https://github.com/polyaxon/polyaxon , is an open source platform that tries to simplify not only running notebooks on kubernetes, but also tries to solve issues related to scaling, tracking, and reproducibili
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by mmq 8y ago
Very nice article. I always wanted to extend my tutorial[1][2][3] with a 4th part, to make the connection between Euler Gamma function and Riemann Zeta Function. I will link to your article, it's really well written. [1] https:/&
226.
Show HN: Rhea, Efficient environment variables management and typing for python(github.com)
4 points by mmq 8y ago|0 comments
227.
Gan Lab: An Interactive Tool for Generative Adversarial Networks(github.com)
2 points by mmq 8y ago|0 comments
228.
I don't like notebooks [slides](docs.google.com)
3 points by mmq 8y ago|0 comments
229.
Musical.ly shutting down after $1B acquisition(variety.com)
24 points by mmq 8y ago|3 comments
230.
How to Talk About Valuation When a VC Asks(bothsidesofthetable.com)
1 points by mmq 8y ago|0 comments
231.
by mmq 8y ago
I can't say much about long-term roadmap apart from the fact that the platform will be open source and that it will try to introduce features that will increase the productivity of data scientists. For short-term roadmap, I am trying t
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by mmq 8y ago
I think the target audience, is individuals or small teams who want to have an organized workflow, immutable and reproducible experiments with an organized and easy way to access logs and outputs. The platform also provides a lot of automat
233.
by mmq 8y ago
As you said if the library/framework provides deterministic computation, then it should not be a problem, I am not sure if it's already fixed in Tensorflow, but parallel computation and order of operations could all influence the
234.
by mmq 8y ago
I just want to add to the other comments that Polyaxon focuses on different aspects of machine learning reproducibility than Pachyderm, although Polyaxon will be providing a very simple pipelining abstraction to start experiments based on p
235.
by mmq 8y ago
As @syllogism said, you can use any framework/library to train your models. A couple of libraries have a special integration, Tensorflow, MXNet, Horovod, and Pytorch, they have a section in the specification for users who want to run d
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by mmq 8y ago
Hi, I am the author of Polyaxon, a bit late to notice, but thanks for sharing Polyaxon here. I will be around to answer questions, and any feedback is welcome.
237.
by mmq 8y ago
Thank you for the great feedback, a lot of things are indeed planned to enhance the dashboard as well as the cli in terms of search, filtering, and ordering of the experiments based on some rule, e.g. parameters or metrics. Also, some of yo
238.
Depth First Learning: InfoGAN(depthfirstlearning.com)
3 points by mmq 8y ago|0 comments
239.
by mmq 8y ago
You can use scikit-learn, or any other library, to train your models.
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by mmq 8y ago
Polyaxon, https://github.com/polyaxon/polyaxon , is an alternative project to MLFlow that is also open source. disclaimer: I am the author of Polyaxon.

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