mlcommons.org/en/ Their homepage is not amazingly organized, but it does the job.
Benchmark focused on deep learning. It has two parts:Furthermore, a specific network model is specified for each benchmark in the closed category: so it goes beyond just specifying the dataset.
Results can be seen e.g. at:
Those URLs broke as of 2025 of course, now you have to click on their Tableau down to the 2.1 round and there's no fixed URL for it:
And there are also separate repositories for each:
E.g. on mlcommons.org/en/training-normal-21/ we can see what the the benchmarks are:
| Dataset | Model |
|---|---|
| ImageNet | ResNet |
| KiTS19 | 3D U-Net |
| OpenImages | RetinaNet |
| COCO dataset | Mask R-CNN |
| LibriSpeech | RNN-T |
| Wikipedia | BERT |
| 1TB Clickthrough | DLRM |
| Go | MiniGo |
The most important thing this project provides appears to be the
.onnx file format, which represents ANN models, pre-trained or not.Deep learning frameworks can then output such
.onnx files for interchangeability and serialization.Some examples:
- activatedgeek/LeNet-5 produces a trained
.onnxfrom PyTorch - MLperf v2.1 ResNet can use
.onnxas a pre-trained model
The cool thing is that ONNX can then run inference in an uniform manner on a variety of devices without installing the deep learning framework used for. It's a bit like having a kind of portable executable. Neat.
Some interesting analysis by Parth Shukla twitter.com/pparth | www.linkedin.com/in/parth-shukla-59583b20/:
Apparently most of the routers were Chinese. No surprise there.
Data format overview: opendata.stackexchange.com/questions/1951/dataset-of-domain-names/21077#21077
TODO was this data also obtained illegally like the Carna botnet
The Neurokernel Project aims to build an open software platform for the emulation of the entire brain of the fruit fly Drosophila melanogaster on multiple Graphics Processing Units (GPUs).
The student organized bar of the École. There's a corresponding Binet that takes care of it.
- www.facebook.com/events/d41d8cd9/b%C3%B4bar-polytechnique/306343312823548/
- www.leparisien.fr/faits-divers/un-bar-clandestin-decouvert-a-polytechnique-25-06-2006-2007106594.php: in 2006, almost 30 years after 1975 the police finally discovered that they were not licensed to sell alcohol
My Job is to Open and Close Doors by Mattias Pilhede (2019)
Source. An interesting humorous short meditation on common sense.General Embryology review in 20 minutes by Medical Animations (2020)
Source. Completely devoid of passion, but once you already have the I should have loved biology by James Somers mindset, it's OK. General Game Playing (Stanford project) by 
Ciro Santilli 35 Updated 2025-04-05 +Created 1970-01-01
Ciro Santilli 35 Updated 2025-04-05 +Created 1970-01-01This kind of died at some point checked as of 2023.
- the American stock market gives 10% / year, which is about 2x over 10 years. It has been the sure-fire best investment on a 10 year horizon for many decades, and should serve as your benchmark.
- risky diversified investments (e.g. ETFs that track a market index) are basically the best investment if you can keep your money in them in the long term (10 years)
- risky investments can gown down for a while, and you cannot take your money out then. This effectively means risk is a form of illiquidity
- investment funds have taxes, which eat into your profit. The best investments are dumb index tracking investments (like an ETF that tracks the stock market) that are simply brainless to manage, and therefore have lowest taxes. No fund has managed to beat the market long term essentially.
- when you are young, ideally you should invest everything into riskier higher yielding assets like stock. And as you get older, you should move part of it to less risky (and therefore more liquid, but lower yielding) assets like bondsThe desire to buy a house however complicates this for many people.
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