Last Update: May 13, 2019
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A list of the most common functionalities in Jekyll (Liquid). You can use Jekyll with GitHub Pages, just make sure you are using the proper version.
Running a local server for testing purposes:
| Valeur de timbre (€) | Quantité | |
| ---------------------+--------- | |
| 0.71 | 0 | |
| 0.73 | 0 | |
| 1.46 | 1 | |
| 2.92 | 6 | |
| 0.85 | 0 | |
| 1.70 | 0 | |
| 3.40 | 7 | |
| 1.30 | 0 |
| # Show simplex tableau | |
| # Prereq: matrix A, vectors b,c, basis | |
| printf("Current basis:"); printf(" %2i", basis); disp(""); | |
| B = A(:,basis); cB = c(basis); | |
| Bm1A = B\A; x_B = B\b; zrow = cB'*Bm1A-c'; zval = cB'*x_B; | |
| nv = find(zrow==min(zrow(zrow<=0)))(1); | |
| r = x_B./Bm1A(:,nv); | |
| T = [0:size(A)(2) 0 0; basis' Bm1A x_B r; 0 zrow zval 0] | |
| if length(r(r>=0)) >= 1 | |
| ovp = find(r==min(r(r>=0)))(1); |
| # Show dual simplex tableau | |
| # Prereq: matrix A, vectors b,c, basis | |
| printf("Current basis:"); printf(" %2i", basis); disp(""); | |
| B = A(:,basis); cB = c(basis); | |
| Bm1A = B\A; xB = B\b; zrow = cB'*Bm1A-c'; zval = cB'*xB; | |
| if length(xB(xB<0)) >= 1 | |
| ovp = find(xB==min(xB(xB<0)))(1); | |
| r = zrow./Bm1A(ovp,:); # ratio for display | |
| T = [0:size(A)(2) 0; basis' Bm1A xB; 0 zrow zval; 0 r 0] | |
| # compute min ratio |
I am writing this gist because I spent 6 hours navigating links trying to get Theano to work with CUDA on windows 10. Hopefully, you wouldn't have to. Once theano is setup and running, you can install pymc3 and it all works. I had tensorflow-gpu setup and running on windows 10; it isn't as simple as pip install theano.
I will list down the instructions, with the links where I found them. Hope this helps someone.
This set of instructions depend on anaconda. Also, this is sort of hacky in the end.
Ok let's begin.
Lecture 1: Introduction to Research — [📝Lecture Notebooks] [
Lecture 2: Introduction to Python — [📝Lecture Notebooks] [
Lecture 3: Introduction to NumPy — [📝Lecture Notebooks] [
Lecture 4: Introduction to pandas — [📝Lecture Notebooks] [
Lecture 5: Plotting Data — [📝Lecture Notebooks] [[
| // © 2023 Ruben Felgenhauer | |
| // Usage of the works is permitted provided that this instrument is retained with the works, so that any entity that uses the works is notified of this instrument. | |
| #let LaTeX = { | |
| let A = ( | |
| offset: ( | |
| x: -0.33em, | |
| y: -0.3em, | |
| ), | |
| size: 0.7em, |