ogrisel

8 ms·

31.
by ogrisel 4y ago
> advances in nuclear fusion or other technologies that lower the price of CO2 neutral electricity We are still far from the point where anybody serious could reasonably affirm that advances in nuclear fusion would be expected to lower t
32.
by ogrisel 4y ago
There is a similar problem with the YouTube recsys on cheaply generated videos (e.g. a physics + 3d rendering model to generate colorful videos of Spiderman and Batman driving colliding cars). See this older piece by Natasha Lomas on Tech C
33.
by ogrisel 4y ago
There is also this very interesting 2017 paper: Towards Understanding Generalization of Deep Learning: Perspective of Loss Landscapes Lei Wu, Zhanxing Zhu, Weinan E https://arxiv.org/abs/1706.10239 I think it was the f
34.
by ogrisel 4y ago
Actually it has explicit support for async task based reporting: https://github.com/gaogaotiantian/viztracer#async-support
35.
by ogrisel 4y ago
viztracer can create traces for python programs. Not sure about async-io awareness though.
36.
by ogrisel 5y ago
And here is another one: https://oxisenergy.com/ but this one was set "in administration" on 19 May 2021...
37.
by ogrisel 5y ago
Apple engineers recently started to contribute bug reports, root cause analysis and even fixes to solve compatibility issues with their hardware and software platforms via a shared github account: https://github.com/Develope
38.
by ogrisel 5y ago
As @jjerphan commented above, there is already ongoing effort to get an improved portable brute-force implementation in vanilla scikit-learn, see: https://news.ycombinator.com/item?id=29069760
39.
by ogrisel 5y ago
> Intel are focused on data-parallel C++ for delivering high performance, rightly or wrongly. They also invest efforts in making it possible to write high performance kernels in Python using an extension to the numba Python compiler: ht
40.
by ogrisel 5y ago
plantnet works very well. I have also used Google Lens (the magic button on Google Photos on Android) but I have the subjective feeling that plantnet works more reliably for plant identification.
41.
by ogrisel 6y ago
Nesting is actually not such a problem in itself, it just hides the fact that your seemingly simple object on the surface might have a reference to a large collection of small subojects that will be slow to pickle.
42.
by ogrisel 6y ago
If you plan to mint digital art and sell or buy NFTs, please consider low-carbon platforms such as: https://www.hicetnunc.xyz/ that is based on Tezos and therefore relies on Proof-of-Stake instead of Proof-of-Work to reduce
43.
by ogrisel 6y ago
pickle.dump/load is only slow if your main objects has references to many small nested objects: e.g. a large python dicts with million of key values that are small Python str or int objects for instance. If your main object has only re
44.
by ogrisel 6y ago
This kind of matches the performance I recorded when numpy is linked to vecLib for large matrix matrix multiplication in float32: https://gist.github.com/ogrisel/87dcf2c3ab8a304ededf75934b11... Note however there is cu
45.
Deploying conda environments in (Docker) containers – how to do it right(uwekorn.com)
1 points by ogrisel 6y ago|0 comments
46.
by ogrisel 6y ago
Hopefully Little Bobby Tables did not participate.
47.
by ogrisel 6y ago
But do you see any practical scenario where you have to keep 3TB of parameters in accelerator's RAM at inference time? The accuracy would have to be significantly higher that any alternative to justify monopolizing that many hardware r
48.
by ogrisel 6y ago
Actually now I realize that the title and the intro paragraph are contradicting each other...
49.
by ogrisel 6y ago
As a nitpicking person, I really like to read a post that does not confuse GB/s for GiB/s :) https://en.wikipedia.org/wiki/Byte#Multiple-byte_units
50.
by ogrisel 6y ago
A MacBook Air with M1 does not have a fan and I find it faster than my Dell XPS 13 from 2015 when running the scikit-learn test suite which is quite CPU intensive. Running those tests on the XPS 13 would typically cause the fan to turn on a
51.
by ogrisel 6y ago
Isn't it possible to play under linux directly using chrome or chromium?
52.
by ogrisel 6y ago
One could expect that docker on macOS with M1 will be able to run aarch64 linux container images and therefore make it more convenient for developers to better maintain open source libraries for this platform (without suffering from long bu
53.
by ogrisel 6y ago
I don't know about Mother Nature, but silicate rich (or carbonate rich) rocks weather by sucking C02 out of the atmosphere (or oceans) and it can apparently be accelerated by spreading crushed rocks on fields or beaches. - https:&#x2F
54.
by ogrisel 6y ago
The debate is low carbon vs high carbon (if we all agree that climate change is the number #1 pbm).
55.
by ogrisel 6y ago
Here are some numbers to back this statement: https://www.energy-charts.de/energy.htm?source=all-sources&p... It's true that in the first 3 years after the decision to speed-up the closure of nuclear in Germany in
56.
by ogrisel 6y ago
and github.
57.
by ogrisel 7y ago
Data augmentation will help prevent your model from overfitting a bit but the amount of useful information you get from naively augmented data will reach diminishing returns at some point. Data augmentation alone (e.g. rotations / shif
58.
by ogrisel 7y ago
The reason is that you do not need to finely understand the structure of individual sentences to group documents by similar topics. Word order does not matter much for this task. Hence the success of methods that use Bag of Words (eg TFIDF)
59.
by ogrisel 7y ago
Big transformers neural network are probably overkill for topic modeling. More traditional methods implemented in Gensim or scikit learn such as tfidf vectors followed by SVD (aka LSI) or LDA or NMF are probably just fine to extract topics
60.
by ogrisel 7y ago
Better planning of power prices and demand response for power grids with a high fraction of weather dependent renewable energy production.

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