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lapink
searching PlanetScale…
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8 ms
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31.
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by
lapink
7y ago
I never get the argument that because we are not solving the entire problem at once we shouldn't make any step in the right direction. Changing mentalities is a big deal. Eventually it can trickle down to our entire way of life and mak
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lapink
7y ago
I made a benchmark a few months ago for a friend of mine working on computational physics. She needed to compute the determinant of a lot of matrices to perform MCMC sampling and wanted to know how much GPUs could speed up things. For this
33.
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by
lapink
7y ago
Black produces code with more lines than yapf. Sure sometimes yapf makes very weird decision (especially when using a dictionary litteral as an argument to a function) but at least it does not use 4 lines for a list with 2 items that could
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lapink
7y ago
It seems hard if not impossible to prevent illegal use of profile pictures. If a web browser can access them, collecting them can be automated. Even if they are only accessible through an app on iOS or Android, you could still, on a device
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by
lapink
7y ago
Indeed, here is the mail from Raymond Hettinger explaining the new design on the python-dev list: https://mail.python.org/pipermail/python-dev/2012-December/1... Quite amazing that it is faster, more memory e
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lapink
7y ago
Maybe Americans could start changing their way of life rather than waiting for « political will » or a never coming technological revolution. UE has started reducing CO2 emissions will keeping a very reasonable and increasing level of life.
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lapink
7y ago
Previous discussion https://news.ycombinator.com/item?id=22093787
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lapink
7y ago
I agree that eventually this could work because on some training examples, two related entries will be in the same bucket. However, I'm not sure this would really scale to parsing an entire book all at once like the author suggest. Whi
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lapink
7y ago
There is no argument for why the LSH would work well, especially at the beginning of training. As the weights are initially random, bucket assignment would be random as well. If predicting at position A requires info from position B, but
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lapink
7y ago
Can’t people be grown ups and stop blaming UXs for their behaviors?
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lapink
7y ago
Speech source separation has gone a long way, thanks to Yi Luo amazing work. With Dual Path RNN, he now achieves almost 20 Signal to Noise Ratio for 2 speaker separation, see [1]. This is a bit of an artificial setting though, only two spea
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lapink
7y ago
Author here, this is part of the release of Demucs, you can find more information on my repo: https://github.com/facebookresearch/demucs
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Comparison of state-of-the-art music source separation models on Californication
(soundcloud.com)
6 points
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lapink
7y ago
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4 comments
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by
lapink
7y ago
Everything is impermanent. Through your practice, develop perfect equanimity. Anichoooaaaa
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Easy to use wavelet transform for Pytorch
(kymat.io)
2 points
by
lapink
7y ago
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0 comments
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lapink
7y ago
The mail is from 2010 but it was only implemented in 2016, I wonder why. Found the link in https://github.com/python/cpython/blob/master/Objects/dictob... .
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The idea behind dicts being ordered since python3.6
(mail.python.org)
2 points
by
lapink
7y ago
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1 comments
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lapink
7y ago
Please still consider reducing your meat intake for the planet: https://www.sciencedirect.com/science/article/pii/S092181811... If you want to help save Amazonia, this is definitely the easiest course of acti
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Fundamentals of Optimisation for Deep Learning
(ai.honu.io)
2 points
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lapink
7y ago
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0 comments
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lapink
7y ago
Indeed...
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lapink
7y ago
There exists many such bases, you could also take all the monomes and approximate a function by its Taylor development. However, it does not mean that such bases can be efficiently approximated in a reasonable dimension, nor that conversion
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lapink
7y ago
It is a possibility that there is a natural vector space embedding for functions in which integration/derivation is a simple operation. A deep learning network could find such an embedding.
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Google Overtake Facebook Roberta on Glue Benchmark
(gluebenchmark.com)
1 points
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lapink
7y ago
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0 comments
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lapink
7y ago
Thread level parallelism is different from GPU parallelism. Different threads can perform completely independent operations at any time. GPU threads must do exactly the same operations, but on different memory locations, at all time. In exc
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lapink
8y ago
When asked in an Inbox user survey what I liked the least about inbox, I answered “ that it is closing down :’( ” I’m still hoping for them to change their mind and I will be using it until the very last minute
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lapink
8y ago
I don’t get why would anyone carry that much crypto currencies on their laptop. Fake story or crooks ?