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I did further research on spatial indexes, I add below some interesting approaches (with links) that we could experiment with (after some development effort, though). We can use this issue to collect …
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This is a meta-issue to keep track of discussion around Nim scientific libraries.
# Primitive libraries
Decimal128: https://github.com/JohnAD/decimal128
Fixed-point: https://gitlab.com/lbartole…
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Hi, one quick question... Will nicp work only work on sequential organised clouds like kinect images? Or could I use it to match one frame back to a large global map also?
Thanks again for making th…
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Notes from: https://www.coursera.org/learn/algorithms-part1
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Hi, I'm very interested in your work but I had a question about the computation of KNN.
The network is efficient due to the random sampling strategy. But I notice that the network still uses KNN to f…
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(In my understanding) the package currently assumes the `n` sample points constituting the data are given as an `(d,n)` array, where each sample point is a `d`-dimensional vector of some sort. It woul…
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Hi guys,
I started using ILOGMR to compare it with various regression algortihm in sci-kit learn. For this I had to create a class wrapping the ilo_gmm from explauto to an ILOGMR estimator in sklearn…
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Eg: #ffa0a0 will return faint_malachite
same colour is returned for 'faint_red', 'faint_vermilion', 'faint_orange','faint_amber' and seven more.
This comes from the way the table was built using [un…
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# Distilling a Random Forest to a single DecisionTree - Machine Learning Blog
On HackerNews there was a topic discussed at some point about ways to distil knowledge from a complex (almost black box) …
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@ckoven detected a problem restarting the model in-between spin-up phases with ELM-FATES. I believe the last phase to complete was an AD spinup, which is usually followed by another pre-industrial run…