Skip to main content

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()

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pydlmafs-0.0.4.tar.gz (6.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pydlmafs-0.0.4-py3-none-any.whl (8.4 kB view details)

Uploaded Python 3

File details

Details for the file pydlmafs-0.0.4.tar.gz.

File metadata

  • Download URL: pydlmafs-0.0.4.tar.gz
  • Upload date:
  • Size: 6.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/46.3.1 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.7.6

File hashes

Hashes for pydlmafs-0.0.4.tar.gz
Algorithm Hash digest
SHA256 43c444c022c2f0461cbf16fe63d26a1c64bba1c3472c5d67a81b402de98578cc
MD5 4132399e891beeee3c380d3656dbe60e
BLAKE2b-256 9afd8fba0a95cf7908774584cb31f1df1d070a80ed843522dc479c68cd7c8679

See more details on using hashes here.

File details

Details for the file pydlmafs-0.0.4-py3-none-any.whl.

File metadata

  • Download URL: pydlmafs-0.0.4-py3-none-any.whl
  • Upload date:
  • Size: 8.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/46.3.1 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.7.6

File hashes

Hashes for pydlmafs-0.0.4-py3-none-any.whl
Algorithm Hash digest
SHA256 d0ebcd8f8e3534de9ab95a158ae745271d4778fc4991580b699725343fdfc6a9
MD5 a8870c65dfea55be95363309b842e725
BLAKE2b-256 87a0a17516a6594473cf18d35af81c29cd41317fb1b3692bb1f9e3abaecbf140

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page