Python basic Deep Learning maths package
Project description
pydlmafs: math done the wrong way
This package contains three modules:
calc: Calculus with python functions
linalg: bad Linear Algebra implementation
probstat: Probability and Statistics kinda
Note that the code in here was written without any concern about efficiency and has no use in real applications
Installation
pip install pydlmafs
#Testing
import pydlmafgs.calc as clc
import pydlmafgs.linalg as ldl
import pydlmafgs.probstat as pst
def f(x):
return 2*(x**2) + 2
print(clc.uni_deriv(f, 5))
vec = ldl.Tensor([6, -5, 2])
eye = ldl.Identity(3)
(eye @ vec).show()
ldl.EWise('func', vec, func=pst.sigmoid)
vec.show()
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