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[ 95%] Building C object CMakeFiles/main.dir/custom_layers/slicing.c.obj
[ 95%] Building C object CMakeFiles/main.dir/custom_layers/decoding.c.obj
[ 96%] Building C object CMakeFiles/main.dir/custom…
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For my own research, I developed a Univariate KDE module, with a focus on managing boundary conditions. You can find the documentation there:
http://pyqt-fit.readthedocs.org/en/latest/
the package c…
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**Abstract**
Providing derivatives of quantities in Cantera using automatic differentiation would enable the use of many sophisticated capabilities, such as sparse iterative solvers and machine lea…
speth updated
7 months ago
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I compared ceres and scipy's curve_fit and found that ceres did not perform as well as curve_fit. The range calculated by ceres is 0, while the range calculated by curve_fit is more reasonable. What c…
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In order to know which kind of interactivity we would like to provide with COCO in the future, we should collect here possible use cases of what we would like to have, that is mandatory or that is our…
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Total score: **9.5/10**
Crossover grader: Jessie
Self-evaluation: 9/10 (good work on Create Task, but could have tried more complex features on PBL)
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CC CUDA SP #50, SP faster LocalInho #86 , #92
From https://github.com/htm-community/nupic.cpp/pull/119#pullrequestreview-178811874 :
I'm evaluation the performance impact of ND vs 1D, where a…
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**Parkinson's Disease Prediction**
**Overview:**
Aim is to develop a predictive model for Parkinson's disease based on various demographic, clinical, and lifestyle factors. This issue tracks the…
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```
var visits = 0
define f(n) = {
visits++
n
}
max(f(2), f(1))
`visits = $visits`
```
`"visits = 3"`