alando46
Async C++
Combined Flake8 and Black and Isort is Great
Why is Windows so bad?
I use Ubuntu for my main machine and have for a few years. Whenever I have to do anything with Windows - helping my gf set something up or get a game running or something - I am shocked at how bad the experience is. Constant pop-ups and advertisements for Microsoft services. Neverending McAfee ads. The user experience is just so bad. It sucks that you can't pay more for a version that isn't the...
Ask HN: How do you document SW projects at your company?
Doing some research to see if there is a better way to document software projects given detailed design docs are usually: 1. out of date basically immediately, 2. hard to update and keep in sync with the latest project developments. Have you encountered any approaches along your career that you favor for addressing these issues?
The single interface for any cloud GPU is cool, but hard to imagine it taking off without some additional features.
I think for lots of shops the hardest part isn't the compute but moving the data around. Ie for us, we use s3, some lustre caching and spot instance nodegroups. We are a deep learning research team that spends roughly 40-50k/month on aws compute for training jobs. I imagine this is somewhat mid tier, maybe more than some but certainly far less than others.
For inference, data egress costs could be less of an issue, but your service would really need to be almost invisible. It probably would be pretty complicated for a number of reasons, but if you could design a "virtual on-demand nodegroup"™ that I could add to my existing clusters and then map to whatever k8s stuff I want, that would probably be useful. I would need to be able to auto deploy a base image to the machine and then provision the node and register with my cluster.
Just some unorganized thoughts. Good luck and have fun.
Jax vs. TensorFlow vs. Pytorch vs. Julia
Ask HN: Possible to send a message that will be delivered in 1k years?
The State of Self Driving Cars in 2018
Radiant Earth Foundation's core mission is to make insights from remote sensing data and machine learning an order of magnitude more accessible for global non-profits, humanitarian organizations, emerging economy governments, and others. https://radiant.earth
We provide a free platform that takes care of all of the geospatial processing and machine learning so that users with any level of remote sensing experience, from zero to expert, can use near real-time data to get geospatial insights for their use case.
In addition to our platform, we work with organizations on complex use cases with high-impact outcomes. Since our founding in 2016, we've worked with the Bill and Melinda Gates Foundation (a primary funder), the Omidyar Network (another primary funder), as well as the United Nations Institute for Training and Research, Schmidt Futures, the World Bank and more.
We work with a range of fellows and contractors to support our efforts, but our in-house engineering/ML team is just 2 people :) In addition to being somebody who is excited to be part of a small team working on large-scale problems (right now we're all generalists, to an extent), we're especially interested in applicants who want to help us foster a team culture of respect, inclusion, and diversity.
Apply here: https://bit.ly/2CLLzdK
If you have any questions, please don't hesitate to shoot me an email: alando (at) radiant.earth
Ask HN: What is your favorite equation?
Autonomous Vehicle Disengagement Reports 2017
A Macbook for Machine Learning: Tweaks to Make Ubuntu Work on Razer Blade
You can use the search tool without being a member or qualifying for the reduced rate sessions. Really useful for those in the U.S.
Journalists Recreate Autopilot Crashing Into Static Vehicles
If we have someone check our teeth and gums a couple times a year just to clean out the gunk and make sure everything is ok, why wouldn't we do the same for our (arguably) most important organ?
Deep Gradient Boosted Learning for Land Cover Classification
Empowering Emerging Economies: AI, Satellite Imagery and Economic Analysis
Ask HN: Anyone have experience with Radeon deep learning?
https://instinct.radeon.com/en/6-deep-learning-projects-amd-radeon-instinct/https://rocm.github.io/Despite the ridiculous price point, I enjoy the portability and battery life of MacBooks. Almost all of my ML projects are on AWS or Linode or something, but if I were to even consider forking over for a MacBook Pro w/ a GPU, some sort of GPU ML support would be a must.Anyone have experience with...