pilooch

11 ms·

91.
The effort to produce the world’s most popular coronavirus tracker(sciencemag.org)
1 points by pilooch 7y ago|0 comments
92.
Eigen Paradox(en.wikipedia.org)
2 points by pilooch 7y ago|0 comments
93.
by pilooch 7y ago
FTR, a simple RPi4 yields ~4FPS on a DL object detection model. You may need cloud for your central hub, but neural network inference can be done locally.
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by pilooch 7y ago
Agreed. AutoML is useful, but modeling and ensuring correct hypotheses are taken into account comes first.
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by pilooch 7y ago
See https://github.com/jolibrain/deepdetect/pull/641 that uses FAISS as a backend alternative to annoy (annoy supported as well). Deletion can be implemented by removing entries from the listing db while the
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by pilooch 7y ago
As an ML + open source developer for over 10y, MacOS support for deep learning is already long gone, Linux is the prime AI/ML OS. However, Apple and NVidia parting away is a good omen for GPU competition I believe. Whatever Apple hw co
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by pilooch 7y ago
What would be a good source of tetrachromat images ? Would love to train a model and "see" what these women see !
98.
by pilooch 7y ago
vs C++-14 ? Indeed most DL is in fact C++. The Pytorch recent C++ API is a must. As professionals in this industry, my colleagues and I have switched to full C++. I'd be interested in advantages of Rust vs C++ instead of Python (which
99.
by pilooch 7y ago
Very interesting, thanks for pointing to this. Gitlab appears to be doing a fantastic job a opening governance and writing FAQ-like content such as this one. Truely boosting the core values and interest of libre / open source software
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by pilooch 7y ago
"The beauty of Arm is that it is open. You can you can add all sorts of interesting technologies that will be beneficial to supercomputing, such as being tightly integrated. By marrying an Arm CPU with a Tesla GPU...". The essence
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by pilooch 7y ago
It was a public service company, France Telecom, and employees were looking at their job as being civil servants in a way. Management decided to force many changes on employees in the hope they would resign. Many committed suicide or got si
102.
by pilooch 7y ago
Exactly the reason why my colleagues and myself do all deep learning in C++, performance and portability, from cloud to RPie. We've even modified caffe2 so we could build the training graph from pure C++. We know this is not the curren
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by pilooch 7y ago
We do everything with https://www.deepdetect.com/ . Small team and targeted applications, this may not apply to all needs. The time from dev to prod is very low though.
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by pilooch 8y ago
Very cool! The docker install is proprietary as well or require an API key right ? Looks like a very finetuned tool, I'll recommend it around.
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by pilooch 8y ago
I guess webgl makes things faster with hw acceleration ? We re using this https://github.com/alx/parasol that is based on sigma.js, usually along with ML. Does webgl allow to get a higher number of nodes and edges runn
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by pilooch 8y ago
Looks very seriously made and documented, congrats ! Was looking at it a bit closely the other days and put it onto my list of future tools. There's been another somewhat related library released by facebook recently, https:/&#x2
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by pilooch 8y ago
Interesting project! You could run the neural networks directly on the pi. Expect 3 fps for object detection, try ncnn or deepdetect + ncnn for ease of use. That's without GPU. With a Jetson Nano expect up to 50 fps. You could detect m
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by pilooch 8y ago
Search is often formulated as 'learning to rank'.
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by pilooch 8y ago
This is a bold statement lacking any serious scientific basis wrt advancing the state of sensory AI (pattern recognition) and robotics (actuation). Universities and public research facilities are the existing democratic research institution
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by pilooch 8y ago
One reason I see as an open source developer is low touch adoption and environment control. Over with build support on many Linux flavors (redhat from the past, archlinux from the ghetto :) ), use dockerized version instead. This might be m
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by pilooch 8y ago
What is the use of 100fps vision models other than being the input to a controller (e.g. driving, flying etc) ? A raspberry can hold up to 3fps with standard open source frameworks, and this is enough for many applications, e.g. constructio
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by pilooch 8y ago
Cool! We all set this across a spreadout VPN so that our apps can keep track of the GPU availability https://github.com/jolibrain/gpustat_server It does spit JSON out with memory and computer usage.
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by pilooch 8y ago
Interesting conversation. I would add that papers by Lecun and others have been using character based convolutions on pure text since 2015 with great success. VDCNN is still a very good way to go for classification, and is much faster to tr
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by pilooch 8y ago
Many thanks to the author for this very informative write-up. We are putting our open source deep learning codebase to run on raspberry with good performances for us, near 3fps for image object detection but we had little insights on how th
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by pilooch 8y ago
Well, if it's Open Source / free software, as the ML research field is, then it is a meritocracy.
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by pilooch 8y ago
There are many recent works originating from the CFD community now. Too many to list here, you can PM me if you don't find them easily online for some reason.
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by pilooch 8y ago
There's a new trend of using deeplearning to replace and mix the solvers. Some ongoing research looks at tackling the compressible flows. Accelerating lattice boltzman methods with DL is also under study at various labs. See https:&#x
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by pilooch 8y ago
Wow, Jean-Pierre Aubin mentioned on first comment on HN, that makes me so happy. I have had him as a teacher 20 years ago, an incredible teacher, always grounding the maths into their history, and its social production, with descriptions o
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by pilooch 8y ago
If someone from fair is around, what does this mean for caffe2 ? Is the new torch c++ API a form a replacement for caffe?
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by pilooch 8y ago
Sounds much like conditions to a successful solving of a problem when modeled with machine learning. Have enough data, immediate (as opposed to delayed) feedback, and enough structure in the data. That neural networks in our brains might be

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