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33 public repositories
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The basic distribution probability Tutorial for Deep Learning Researchers
Updated
Oct 1, 2020
Python
A deterministic math lib for lockstep game
Daily Neural Network Practice Season 3! ( Finishing up Masters)
Updated
Sep 9, 2019
Jupyter Notebook
Sparse Mathematical Programming Format.
Solving some numerical problems with MATLAB programming language to improve ,expand and practice my skills AT MATLAB.
Updated
Sep 10, 2020
MATLAB
Updated
Jul 24, 2020
Ruby
사각형 종이의 접고 펼친 흔적을 (0,1) code에 접목시켜 연구한 논문 및 종이접기 시뮬레이션 코드
Updated
May 31, 2021
Jupyter Notebook
Requires Mathematics topics for Machine Learning
Updated
Feb 14, 2021
Jupyter Notebook
The New Math Library. (Javascript)
Updated
Oct 17, 2021
JavaScript
JP Godara's github.io page
Updated
Apr 27, 2018
HTML
handling intervals calculation in python
Updated
Jan 31, 2018
Python
데이터 분석 / 머신러닝을 위한 공부 후 결과물을 기록하는 Repository 입니다.
Updated
Oct 19, 2021
Jupyter Notebook
Is this a Perfect number or NOT?!
Updated
Mar 16, 2018
HTML
A LaTeX document for concise terms "Minimum Polynomial" and "Disturbance/Tracking Poles."
Complex number operations for Elixir/erlang.
Updated
Jan 20, 2021
Elixir
2D system differential equation phase plane plotter implemented within the browser
Updated
Jun 16, 2021
JavaScript
Package to determine the correct sample size for a survey
Updated
Oct 16, 2021
TypeScript
Solar system recreation done in openFrameworks using vectors.
The Powerful Math Library (C#)
Hey 👋 , Made Road-Map for ML ( Machine 🤖 Learning ) & DL ( Deep 🤖 Learning ) Learner .
a number pyramid math trainer for children writen in pure python
Updated
Feb 5, 2020
Python
A program that asks the user a natural number bigger than 1 and show the number in factors
Updated
Aug 25, 2021
Python
C# script to build Pascal's Triangle on console.
Updated
Jul 15, 2018
Jupyter Notebook
Updated
Jan 27, 2019
HTML
This repo includes solutions for assigned sheets & contests during problem solving boot camp training. For each problem,there is a read-me file that contains problem statement, constrains & samples for expected input & output.
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