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patrick-kidger
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torchcubicspline
Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, and backpropagation.
Apache License 2.0
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How to set the extrapolation strategy
#18
XDXM147
opened
1 month ago
1
evaluating at different time points per batch
#17
LucaCras
opened
4 months ago
1
Evaluating Each Spline at Unique Time Values in the Output Tensor
#16
andidietsche
closed
8 months ago
2
Availability on pypi
#15
rorymaizels
opened
11 months ago
2
add numpy dependency
#14
alisterburt
closed
1 year ago
1
clamped cubic spline supported?
#13
zhuqunxi
opened
2 years ago
4
inefficient _validate_input and mistake
#12
Trotew
opened
2 years ago
4
Backwards Pass through spline.derivative gives nan gradients
#11
kkadry
closed
2 years ago
2
Interpolating over 2D-grid.
#10
JeanKaddour
closed
2 years ago
2
Complex value compatibility
#9
StephenHogg
closed
2 years ago
2
Add second order derivative
#8
mossjacob
closed
3 years ago
3
Speed of tridiagonal_solve()
#7
jhrmnn
opened
3 years ago
1
Switch to pytorch native search
#6
jhrmnn
closed
3 years ago
3
Applying on typical PyTorch data format
#5
fshamsafar
opened
3 years ago
5
1 Dimension Only?
#4
jeongjoonpark
opened
3 years ago
3
order for derivatives
#3
dylgold2000
closed
3 years ago
2
Differentiation with respect to coefficients
#2
apisarek
closed
3 years ago
3
Update
#1
patrick-kidger
closed
4 years ago
0