feat: more stuff
This commit is contained in:
Laureηt
parent
61690d0586
commit
3c05ba312b
4
.gitignore
vendored
4
.gitignore
vendored
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__site/
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_assets/
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.DS_Store
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node_modules/
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package-lock.json
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eportfolio/
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Binary file not shown.
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Before Width: | Height: | Size: 1.3 KiB After Width: | Height: | Size: 722 B |
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@ -1,27 +0,0 @@
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# Parent file to run all scripts which may generate
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# some output that you want to display on the website.
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# this can be used as a tester to check that all the code
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# on your website runs properly.
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dir = @__DIR__
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"""
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genplain(s)
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Small helper function to run some code and redirect the output (stdout) to a file.
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"""
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function genplain(s::String)
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open(joinpath(dir, "output", "$(splitext(s)[1]).txt"), "w") do outf
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redirect_stdout(outf) do
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include(joinpath(dir, s))
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end
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end
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end
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# output
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genplain("script1.jl")
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# plots
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include("script2.jl")
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*---------1.3
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**--------1.3
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***-------1.3
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****------1.3
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*****-----1.3
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<!-- 0.6 -->
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<!-- 0.8 -->
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</svg>
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|
Before Width: | Height: | Size: 17 KiB |
|
|
@ -1,10 +0,0 @@
|
|||
using LinearAlgebra # HIDE
|
||||
using Random:seed! # HIDE
|
||||
seed!(0) # HIDE
|
||||
# HIDE
|
||||
x = randn(5)
|
||||
y = randn(5)
|
||||
|
||||
for i in 1:5
|
||||
println(rpad("*"^i, 10, '-'), round(dot(x, y), digits=1))
|
||||
end
|
||||
|
|
@ -1,4 +0,0 @@
|
|||
using PyPlot
|
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x = range(0, stop=1, length=50)
|
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plot(x, sin.(2x).*exp.(-x/3))
|
||||
savefig(joinpath(@__DIR__, "output", "script2.svg"))
|
||||
|
|
@ -92,7 +92,9 @@ header li a:hover {
|
|||
medium display: nav goes under name
|
||||
*/
|
||||
@media (max-width: 760px) {
|
||||
header { display: block; }
|
||||
header {
|
||||
display: block;
|
||||
}
|
||||
|
||||
header .blog-name {
|
||||
display: block;
|
||||
|
|
@ -147,8 +149,12 @@ instead, display a burger menu.
|
|||
padding: 0;
|
||||
margin: 0;
|
||||
}
|
||||
header li a { border-bottom: none; }
|
||||
header li a:hover { border-bottom: none; }
|
||||
header li a {
|
||||
border-bottom: none;
|
||||
}
|
||||
header li a:hover {
|
||||
border-bottom: none;
|
||||
}
|
||||
|
||||
nav:hover ul {
|
||||
display: block;
|
||||
|
|
|
|||
|
|
@ -17,6 +17,7 @@
|
|||
html {
|
||||
font-family: Helvetica, Arial, sans-serif;
|
||||
font-size: var(--normal);
|
||||
text-align: justify;
|
||||
color: var(--text-color);
|
||||
}
|
||||
|
||||
|
|
@ -107,9 +108,15 @@ html {
|
|||
TITLES
|
||||
================================================================== */
|
||||
|
||||
.franklin-content h1 { font-size: 24px; }
|
||||
.franklin-content h2 { font-size: 22px; }
|
||||
.franklin-content h3 { font-size: 20px; }
|
||||
.franklin-content h1 {
|
||||
font-size: 24px;
|
||||
}
|
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.franklin-content h2 {
|
||||
font-size: 22px;
|
||||
}
|
||||
.franklin-content h3 {
|
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font-size: 20px;
|
||||
}
|
||||
|
||||
.franklin-content h1,
|
||||
h2,
|
||||
|
|
@ -134,18 +141,42 @@ h6 {
|
|||
margin-bottom: 1em;
|
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}
|
||||
|
||||
.franklin-content h1 a { color: inherit; }
|
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.franklin-content h1 a:hover { text-decoration: none; }
|
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.franklin-content h2 a { color: inherit; }
|
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.franklin-content h2 a:hover { text-decoration: none; }
|
||||
.franklin-content h3 a { color: inherit; }
|
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.franklin-content h3 a:hover { text-decoration: none; }
|
||||
.franklin-content h4 a { color: inherit; }
|
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.franklin-content h4 a:hover { text-decoration: none; }
|
||||
.franklin-content h5 a { color: inherit; }
|
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.franklin-content h5 a:hover { text-decoration: none; }
|
||||
.franklin-content h6 a { color: inherit; }
|
||||
.franklin-content h6 a:hover { text-decoration: none; }
|
||||
.franklin-content h1 a {
|
||||
color: inherit;
|
||||
}
|
||||
.franklin-content h1 a:hover {
|
||||
text-decoration: none;
|
||||
}
|
||||
.franklin-content h2 a {
|
||||
color: inherit;
|
||||
}
|
||||
.franklin-content h2 a:hover {
|
||||
text-decoration: none;
|
||||
}
|
||||
.franklin-content h3 a {
|
||||
color: inherit;
|
||||
}
|
||||
.franklin-content h3 a:hover {
|
||||
text-decoration: none;
|
||||
}
|
||||
.franklin-content h4 a {
|
||||
color: inherit;
|
||||
}
|
||||
.franklin-content h4 a:hover {
|
||||
text-decoration: none;
|
||||
}
|
||||
.franklin-content h5 a {
|
||||
color: inherit;
|
||||
}
|
||||
.franklin-content h5 a:hover {
|
||||
text-decoration: none;
|
||||
}
|
||||
.franklin-content h6 a {
|
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color: inherit;
|
||||
}
|
||||
.franklin-content h6 a:hover {
|
||||
text-decoration: none;
|
||||
}
|
||||
|
||||
.franklin-content table {
|
||||
margin-left: auto;
|
||||
|
|
@ -199,8 +230,12 @@ td {
|
|||
HYPERREFS AND FOOTNOTES
|
||||
================================================================== */
|
||||
|
||||
.franklin-content .eqref a { color: green; }
|
||||
.franklin-content .bibref a { color: green; }
|
||||
.franklin-content .eqref a {
|
||||
color: green;
|
||||
}
|
||||
.franklin-content .bibref a {
|
||||
color: green;
|
||||
}
|
||||
|
||||
.franklin-content sup {
|
||||
font-size: 70%;
|
||||
|
|
@ -256,9 +291,13 @@ td {
|
|||
KATEX
|
||||
================================================================== */
|
||||
|
||||
body { counter-reset: eqnum; }
|
||||
body {
|
||||
counter-reset: eqnum;
|
||||
}
|
||||
|
||||
.katex { font-size: 1em !important; }
|
||||
.katex {
|
||||
font-size: 1em !important;
|
||||
}
|
||||
|
||||
.katex-display .katex {
|
||||
/* Overwrite KaTeX settings. */
|
||||
|
|
@ -308,10 +347,16 @@ code {
|
|||
border-radius: 10px;
|
||||
}
|
||||
|
||||
.hljs-meta { font-weight: bold;}
|
||||
.hljs-meta {
|
||||
font-weight: bold;
|
||||
}
|
||||
|
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.hljs-meta.shell_ {color: crimson;}
|
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.hljs-meta.prompt_ {color: rgb(25, 179, 51);}
|
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.hljs-meta.shell_ {
|
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color: crimson;
|
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}
|
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.hljs-meta.prompt_ {
|
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color: rgb(25, 179, 51);
|
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}
|
||||
|
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.code-output {
|
||||
background: var(--output-background);
|
||||
|
|
|
|||
|
|
@ -1,16 +1,115 @@
|
|||
Deep Learning:
|
||||
year: May 2022
|
||||
description: A simple [CNN](https://en.wikipedia.org/wiki/Convolutional_neural_network) [image classifier](https://en.wikipedia.org/wiki/Computer_vision#Recognition), trained on a custom dataset, to recognize car models in [Rocket League Sideswipe](https://sideswipe.rocketleague.com/). Built using [Python](https://en.wikipedia.org/wiki/Python_(programming_language)), [Tensorflow](https://www.tensorflow.org/), [Keras](https://keras.io/) and [adb](https://developer.android.com/studio/command-line/adb).
|
||||
repository: https://github.com/Tocard-Inc/Deep-Learning
|
||||
pdf: https://github.com/Tocard-Inc/Deep-Learning/blob/master/docs/rapport2.md
|
||||
|
||||
Audio-visual data processing:
|
||||
year: June 2022
|
||||
description: End of semester report on the numerous practical works in [Matlab](https://en.wikipedia.org/wiki/MATLAB). Wrote the report using [Pluto.jl](https://github.com/fonsp/Pluto.jl).
|
||||
website: https://fainsin.bzh/TAV/
|
||||
|
||||
Sagittarius:
|
||||
year: 2020-2021
|
||||
year: May 2021
|
||||
description: From an object oriented programming project in [Java](https://en.wikipedia.org/wiki/Java_(programming_language)), a little 2D turn-based game inspired by [a game under the same name by George Prosser](https://gprosser.itch.io/sagittarius).
|
||||
repository: https://git.inpt.fr/fainsil/sagittarius
|
||||
pdf: https://git.inpt.fr/fainsil/sagittarius/-/blob/master/docs/iteration3/rapport3.pdf
|
||||
|
||||
Minishell:
|
||||
year: 2020-2021
|
||||
year: May 2021
|
||||
description: Implementation of a basic [shell program](https://en.wikipedia.org/wiki/Shell_(computing)) in [C](https://en.wikipedia.org/wiki/C_(programming_language)), capable of launching programs, piping their streams and sending them signals.
|
||||
repository: https://git.inpt.fr/fainsil/minishell
|
||||
|
||||
Pagerank:
|
||||
year: 2020-2021
|
||||
year: December 2020
|
||||
description: Implementation of an iterative algorithm in [Ada](https://en.wikipedia.org/wiki/Ada_(programming_language)) to compute the [pagerank](https://en.wikipedia.org/wiki/PageRank) of a given network as quickly and efficiently as possible.
|
||||
repository: https://git.inpt.fr/fainsil/pagerank
|
||||
pdf: https://git.inpt.fr/fainsil/pagerank/-/blob/master/doc/rapport.pdf
|
||||
|
||||
Graphs:
|
||||
year: January 2022
|
||||
description: Studied [Compartmental models in epidemiology](https://en.wikipedia.org/wiki/Compartmental_models_in_epidemiology) using [Julia](https://julialang.org/) ands [Graphs](https://github.com/JuliaGraphs/Graphs.jl).
|
||||
repository: https://git.inpt.fr/tocard-inc/enseeiht/projet-graphes/
|
||||
|
||||
Geometric modeling:
|
||||
year: May 2022
|
||||
description: Built a camera movement system using [B-splines](https://en.wikipedia.org/wiki/Composite_B%C3%A9zier_curve) and [Slerps](https://en.wikipedia.org/wiki/Slerp), in [Minecraft](https://www.minecraft.net/) by coding a [Java](https://en.wikipedia.org/wiki/Java_(programming_language)) plugin for [SpigotMC](https://www.spigotmc.org/).
|
||||
repository: https://git.inpt.fr/tocard-inc/enseeiht/porjet-modelisation-geometrique
|
||||
pdf: https://guillod.users.inpt.fr/ModeGeom/
|
||||
|
||||
# Image processing:
|
||||
# year: 2021-2022
|
||||
# description: TODO
|
||||
|
||||
Rendering Engine:
|
||||
year: April 2022
|
||||
description: Built a minimal renderer using [Java OpenGL (JOGL)](https://en.wikipedia.org/wiki/Java_OpenGL) and GLUT.
|
||||
repository: https://git.inpt.fr/fainsil/projet-rendu
|
||||
|
||||
WebApp:
|
||||
year: June 2022
|
||||
description: TODO
|
||||
repository: https://git.inpt.fr/tocard-inc/enseeiht/projet-web
|
||||
|
||||
ISP modeling:
|
||||
year: May 2020
|
||||
description: Simulation of an internet ISP network, configuration of different servers for [routing](https://en.wikipedia.org/wiki/Routing_Information_Protocol), [NAT](https://en.wikipedia.org/wiki/Network_address_translation), [DHCP](https://en.wikipedia.org/wiki/DHCPD), [DNS](https://en.wikipedia.org/wiki/BIND), [WEB](https://en.wikipedia.org/wiki/Apache_HTTP_Server), [FTP](https://en.wikipedia.org/wiki/Vsftpd)...
|
||||
# Traitement du signal:
|
||||
# year: 2020
|
||||
# description: TODO
|
||||
|
||||
# Architecture des ordinateurs:
|
||||
# year: 2020
|
||||
# description: TODO (craps, logic gates)
|
||||
|
||||
# Modélisation:
|
||||
# year: 2020
|
||||
# description: TODO (coq)
|
||||
|
||||
# Telecommunication:
|
||||
# year: 2020
|
||||
# description: TODO (communcation rebond)
|
||||
|
||||
# Automates:
|
||||
# year: 2021
|
||||
# description: TODO (parser speedrun yay)
|
||||
|
||||
# gls:
|
||||
# year: 2021
|
||||
# description: TODO (kill me pls)
|
||||
|
||||
# optimisation numérique:
|
||||
# year: 2021
|
||||
# description: TODO (kill me pls, some julia though)
|
||||
|
||||
# projet données réparties:
|
||||
# year: 2021
|
||||
# description: TODO (vector space)
|
||||
|
||||
# recherche opérationnelle:
|
||||
# year: 2021
|
||||
# description: TODO (jump, julia, glpk)
|
||||
|
||||
# programmation fonctionnelle:
|
||||
# year: 2021
|
||||
# description: TODO (functionnal)
|
||||
|
||||
# traduction des langages:
|
||||
# year: 2021
|
||||
# description: TODO (compiler)
|
||||
|
||||
# application mobiles:
|
||||
# year: 2021
|
||||
# description: TODO (java apps)
|
||||
|
||||
# edp:
|
||||
# year: 2022
|
||||
# description: TODO (python, kill me pls)
|
||||
|
||||
# modélisation:
|
||||
# year: 2021
|
||||
# description: 3D reconstruction of a dinosaur figurine, made in [Matlab](https://en.wikipedia.org/wiki/MATLAB).
|
||||
|
||||
# openMP:
|
||||
# year: 2022
|
||||
# description: TODO
|
||||
|
|
|
|||
|
|
@ -2,7 +2,7 @@
|
|||
author = "Laurent Fainsin"
|
||||
mintoclevel = 2
|
||||
|
||||
ignore = ["node_modules/"]
|
||||
ignore = ["node_modules/", "_data/"]
|
||||
|
||||
hasicons = false
|
||||
|
||||
|
|
|
|||
Loading…
Reference in a new issue