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Manifest.toml
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julia_version = "1.9.1" julia_version = "1.9.1"
manifest_format = "2.0" manifest_format = "2.0"
project_hash = "a02a7b673b951e1ca0acf27ef15e0db496517221" project_hash = "fe1dd9579e9489b7ceffc1d7f239d88c59170bec"
[[deps.ArgTools]] [[deps.ArgTools]]
uuid = "0dad84c5-d112-42e6-8d28-ef12dabb789f" uuid = "0dad84c5-d112-42e6-8d28-ef12dabb789f"

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src/_data/personnal_projects.yml
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dotfiles (WIP): Personal Infrastructure:
year: 2015-2023 year: 2015-2023
description: All my dotfiles for my nixOS systems (laptop + servers). description: All my dotfiles for my nixOS systems (laptop + servers).
repository: https://git.fainsin.bzh/Laurent/infrastructure
Personnal website:
year: 2022-2023
description: Simple website built with [Franklin.jl](https://franklinjl.org/).
repository: https://git.inpt.fr/fainsil/personnal-website/
website: https://laurent.fainsin.bzh/
image: /assets/projects/personnal-website.png
B00 plays GBA: B00 plays GBA:
year: 2021-2023 year: 2021-2023
description: Using tools such as [websocket](https://websockets.readthedocs.io/en/stable/), [redis](https://redis.io/), [docker](https://www.docker.com/), [rtmp](https://en.wikipedia.org/wiki/Real-Time_Messaging_Protocol), [mgba](https://github.com/mgba-emu/mgba) and gluing it all together with [Python](https://en.wikipedia.org/wiki/Python_(programming_language)), we get a collaborative emulator inspired from [TwitchPlaysPokemon](https://en.wikipedia.org/wiki/Twitch_Plays_Pok%C3%A9mon). description: Using tools such as [websocket](https://websockets.readthedocs.io/en/stable/), [redis](https://redis.io/), [docker](https://www.docker.com/), [rtmp](https://en.wikipedia.org/wiki/Real-Time_Messaging_Protocol), [mgba](https://github.com/mgba-emu/mgba) and gluing it all together with [Python](https://en.wikipedia.org/wiki/Python_(programming_language)), we get a collaborative emulator inspired from [TwitchPlaysPokemon](https://en.wikipedia.org/wiki/Twitch_Plays_Pok%C3%A9mon).
repository: https://git.inpt.fr/fainsil/booplaysgba/ repository: https://git.fainsin.bzh/Laurent/booplaysgba
Personal Website:
year: 2022-2023
description: Simple static website built with [Franklin.jl](https://franklinjl.org/).
repository: https://git.fainsin.bzh/Laurent/personal-website
website: https://laurent.fainsin.bzh/
Personnal website (old):
year: 2020-2022
description: Simple website built with the static site generator [11ty.js](https://www.11ty.dev/). Made with [Nunjucks](https://mozilla.github.io/nunjucks/), [SCSS](https://sass-lang.com/), [Javascript](https://developer.mozilla.org/fr/docs/Web/JavaScript), [Yarn](https://yarnpkg.com/) and autodeployed with a [GitLab pipeline](https://git.inpt.fr/fainsil/personnal-website-old/-/pipelines).
repository: https://git.inpt.fr/fainsil/personnal-website-old/
website: https://fainsil.users.inpt.fr/
INP-net (president): INP-net (president):
year: 2021-2022 year: 2021-2022
@ -31,23 +37,24 @@ Toulouse Hacking Convention (volunteer):
year: April 2022 year: April 2022
description: The Toulouse Hacking Convention (or THCon) is a cybersecurity conference that brings together hobbyists, professionals and researchers. Personnaly helped to set up and tear down the equipment for the 2 day event, also assisted in the hardware CTF organization after the event. description: The Toulouse Hacking Convention (or THCon) is a cybersecurity conference that brings together hobbyists, professionals and researchers. Personnaly helped to set up and tear down the equipment for the 2 day event, also assisted in the hardware CTF organization after the event.
website: https://22.toulousehackingconvention.fr/ website: https://22.toulousehackingconvention.fr/
image: /assets/projects/thc_2022.jpg
Capitole du Libre (volunteer): Capitole du Libre (volunteer):
year: April 2022 year: April 2022
description: Weekend dedicated to free software through hundreds of conferences, many workshops for experts and the general public. The event welcomed 1500 participants in 2019 and in 2022. Admission to the event was free. Personnaly helped with the "nix install party" at the event and promoted free software and introduced attendees to GNU+Linux. description: Weekend dedicated to free software through hundreds of conferences, many workshops for experts and the general public. The event welcomed 1500 participants in 2019 and in 2022. Admission to the event was free. Personnaly helped with the "nix install party" at the event and promoted free software and introduced attendees to GNU+Linux.
website: https://capitoledulibre.org/ website: https://capitoledulibre.org/
image: /assets/projects/cdl.jpg image: /assets/projects/cdl_2022.jpg
Git micro-training: Git micro-training:
year: October 2022 year: October 2022
description: Git micro-training for the INP-net association, taught to ~60 students. description: Git micro-training for the INP-net association, taught to ~50 students.
pdf: https://git.inpt.fr/inp-net/formations/-/raw/master/git/2022-2023/slides.pdf?inline=false pdf: https://git.inpt.fr/inp-net/formations/-/raw/master/git/2022-2023/slides.pdf?inline=false
repository: https://git.inpt.fr/inp-net/formations/-/blob/master/git/2022-2023/ repository: https://git.inpt.fr/inp-net/formations/-/blob/master/git/2022-2023/
image: /assets/projects/formation-git.png image: /assets/projects/formation-git.png
Markdown micro-training: Markdown micro-training:
year: October 2022 year: October 2022
description: Markdown micro-training for the INP-net association, taught to ~60 students. description: Markdown micro-training for the INP-net association, taught to ~50 students.
pdf: https://git.inpt.fr/inp-net/formations/-/raw/master/markdown/2022-2023/slides.pdf?inline=false pdf: https://git.inpt.fr/inp-net/formations/-/raw/master/markdown/2022-2023/slides.pdf?inline=false
repository: https://git.inpt.fr/inp-net/formations/-/tree/master/markdown/2022-2023 repository: https://git.inpt.fr/inp-net/formations/-/tree/master/markdown/2022-2023
@ -57,9 +64,3 @@ Git micro-training (old):
pdf: https://git.inpt.fr/inp-net/formations/-/raw/master/git/2021-2022/support.pdf?inline=false pdf: https://git.inpt.fr/inp-net/formations/-/raw/master/git/2021-2022/support.pdf?inline=false
repository: https://git.inpt.fr/inp-net/formations/-/raw/master/git/2021-2022/ repository: https://git.inpt.fr/inp-net/formations/-/raw/master/git/2021-2022/
Personnal website (old):
year: 2020-2022
description: Simple website built with the static site generator [11ty.js](https://www.11ty.dev/). Made with [Nunjucks](https://mozilla.github.io/nunjucks/), [SCSS](https://sass-lang.com/), [Javascript](https://developer.mozilla.org/fr/docs/Web/JavaScript), [Yarn](https://yarnpkg.com/) and autodeployed with a [GitLab pipeline](https://git.inpt.fr/fainsil/personnal-website-old/-/pipelines).
repository: https://git.inpt.fr/fainsil/personnal-website-old/
website: https://fainsil.users.inpt.fr/
image: /assets/projects/personnal-website-old.png

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Safran (Intership):
year: March 2023 - September 2023
description: Making diffusion models go brrrr.
image: https://git.fainsin.bzh/ENSEEIHT/projet-fin-etude-rapport/media/branch/master/assets/aube.jpg
repository: https://git.fainsin.bzh/Safran
REVA - IRIT (Internship): REVA - IRIT (Internship):
year: August 2022 - September 2022 year: August 2022 - September 2022
description: Fine-tuned a state of the art Deep Learning model ([Mask R-CNN](https://arxiv.org/abs/1703.06870v3)) to detect spherical markers in images for Photometric Stereophography calibration. Built using the [Pytorch Lightning](https://www.pytorchlightning.ai/) framework, exported to [ONNX](https://onnx.ai/) format, deployed to production in [AliceVision](https://github.com/alicevision/AliceVision/) and [Meshroom](https://github.com/alicevision/meshroom) with [ONNXRuntime](https://onnxruntime.ai/). This internship concluded with a small publication. description: Fine-tuned a state of the art Deep Learning model ([Mask R-CNN](https://arxiv.org/abs/1703.06870v3)) to detect spherical markers in images for Photometric Stereophography calibration. Built using the [Pytorch Lightning](https://www.pytorchlightning.ai/) framework, exported to [ONNX](https://onnx.ai/) format, deployed to production in [AliceVision](https://github.com/alicevision/AliceVision/) and [Meshroom](https://github.com/alicevision/meshroom) with [ONNXRuntime](https://onnxruntime.ai/). This internship concluded with a small publication.
image: /assets/projects/reva-irit.png image: /assets/projects/reva-irit.png
repository: https://git.inpt.fr/fainsil/pytorch-reva/ repository: https://git.inpt.fr/fainsil/pytorch-reva/
pdf: /assets/projects/QCAV-2023.pdf

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src/_data/school_projects.yml
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Reinforcement learning: Reinforcement learning:
year: December 2022 year: December 2022
description: Praticums in Julia about the fundamentals of reinforcement learning, implemented simple algorithms like the Value Iteration Algorithm (VIA) and the Policy Iteration Algorithm (PIA). description: Praticums in Julia about the fundamentals of reinforcement learning, implemented simple algorithms like the Value Iteration Algorithm (VIA) and the Policy Iteration Algorithm (PIA).
pdf: /assets/RL-n7/ repository: https://git.fainsin.bzh/ENSEEIHT/TP-reinforcement-learning
pdf: https://n7.laurent.fainsin.bzh/TP-reinforcement-learning/
image: /assets/projects/rl.png image: /assets/projects/rl.png
Deep Learning Project 2 (WIP): Deep Learning Project 2:
year: January 2023 year: January 2023
description: Built in Python a Semi-Supervised Contrastive Learning model to classify animals. description: Built in Python a Semi-Supervised Contrastive Learning model to classify animals.
repository: https://git.fainsin.bzh/ENSEEIHT/projet-intelligence-artificielle-multimedia
pdf: https://n7.laurent.fainsin.bzh/projet-intelligence-artificielle-multimedia/
image: https://camo.githubusercontent.com/5ab5e0c019cdd8129b4450539231f34dc028c0cd64ba5d50db510d1ba2184160/68747470733a2f2f312e62702e626c6f6773706f742e636f6d2f2d2d764834504b704539596f2f586f3461324259657276492f414141414141414146704d2f766146447750584f79416f6b4143385868383532447a4f67457332324e68625877434c63424741735948512f73313630302f696d616765342e676966
Distributed Systems and Algorithms (WIP): Distributed Systems and Algorithms:
year: January 2023 year: January 2023
description: Studied and presented the [Raft Consensus Algorithm](https://raft.github.io/) and its implementations. description: Studied and presented the [Raft Consensus Algorithm](https://raft.github.io/) and its implementations.
repository: https://git.fainsin.bzh/ENSEEIHT/projet-systemes-algorithmes-repartis
pdf: https://n7.laurent.fainsin.bzh/projet-systemes-algorithmes-repartis/
# iframe: https://raft.github.io/raftscope/index.html
Parallel Computing: Parallel Computing:
year: December 2022 year: December 2022
description: Practicums in C to learn about parallel computing with [OpenMPI](https://www.open-mpi.org/). description: Practicums in C to learn about parallel computing with [OpenMPI](https://www.open-mpi.org/).
repository: https://git.fainsin.bzh/ENSEEIHT/TP-calcul-parallele
pdf: https://n7.laurent.fainsin.bzh/TP-calcul-parallele/
Digital Audio (WIP): Digital Audio:
year: December 2022 year: December 2022
description: Praticums in Python about voice and music processing. description: Praticums in Python about voice and music processing.
repository: https://git.fainsin.bzh/ENSEEIHT/projet-audionumerique
pdf: https://n7.laurent.fainsin.bzh/projet-audionumerique/
image: https://n7.laurent.fainsin.bzh/projet-audionumerique/figs/archi_alternative.png
Compression & Streaming: Compression & Streaming:
year: December 2022 year: December 2022
description: Praticums in matlab about compression and streaming technologies. Mainly JPEG, JPEG-2000 and MPEG2. description: Praticums in matlab about compression and streaming technologies. Mainly JPEG, JPEG-2000 and MPEG2.
repository: https://git.fainsin.bzh/ENSEEIHT/TP-compression-streaming-interaction-video
image: /assets/projects/csi.webp image: /assets/projects/csi.webp
Augmented computer Vision (WIP): Augmented computer Vision:
year: December 2022 year: December 2022
description: Project in Python to control a virtual avatar from its camera. Used OpenPose and OpenCV. description: Project in Python to control a virtual avatar from its camera. Used OpenPose and OpenCV.
repository: https://git.fainsin.bzh/ENSEEIHT/projet-transversal
video: /assets/projects/2023-01-29T21-44-00.mkv
Augmented Reality: Augmented Reality:
year: November 2022 year: November 2022
description: Praticums in C++ about augmented reality technologies, using openGL to track a checkerboard and display a 3D model on top of it. description: Praticums in C++ about augmented reality technologies, using openGL to track a checkerboard and display a 3D model on top of it.
repository: https://git.fainsin.bzh/ENSEEIHT/TP-augmented-reality
Computer Vision: Computer Vision:
year: November 2022 year: November 2022
description: Praticums in matlab about computer vision, more precisely about detection of homologous points for matching, for mosaique stitching. description: Praticums in matlab about computer vision, more precisely about detection of homologous points for matching, for mosaique stitching.
repository: https://git.fainsin.bzh/ENSEEIHT/TP-vision
image: /assets/projects/vision.webp image: /assets/projects/vision.webp
Inverse problems for 3D: Inverse problems for 3D:
year: November 2022 year: November 2022
description: Praticums in matlab about inverse problems for 3D, implemted various methods like structure from motion (sfm), multiple view stereovision (mvs), shape from shading (sfs), photometric stereo (ps). description: Praticums in matlab about inverse problems for 3D, implemted various methods like structure from motion (sfm), multiple view stereovision (mvs), shape from shading (sfs), photometric stereo (ps).
repository: https://git.fainsin.bzh/ENSEEIHT/projet-probleme-inverse-3D
pdf: https://n7.laurent.fainsin.bzh/projet-probleme-inverse-3D/
image: /assets/projects/PI3D.webp image: /assets/projects/PI3D.webp
Deep Learning Project: Deep Learning Project:
year: May 2022 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). 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 repository: https://git.fainsin.bzh/ENSEEIHT/projet-reseaux-profond
pdf: https://github.com/Tocard-Inc/Deep-Learning/blob/master/docs/rapport2.md pdf: https://git.fainsin.bzh/ENSEEIHT/projet-reseaux-profond/src/branch/master/docs/rapport2.md
image: https://github.com/Tocard-Inc/Deep-Learning/raw/master/docs/demo_datas.gif image: https://git.fainsin.bzh/ENSEEIHT/projet-reseaux-profond/raw/branch/master/docs/demo_datas.gif
Geometric Modeling: Geometric Modeling:
year: May 2022 year: May 2022
description: Built a camera travelling 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/). description: Built a camera travelling 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 repository: https://git.fainsin.bzh/ENSEEIHT/projet-modelisation-geometrique
pdf: https://guillod.users.inpt.fr/ModeGeom/ pdf: https://n7.laurent.fainsin.bzh/projet-modelisation-geometrique/
video: https://fainsil.users.inpt.fr/content/Mod%C3%A9G%C3%A9om/full_show.webm video: https://n7.laurent.fainsin.bzh/projet-modelisation-geometrique/full_show.webm
Audio-Visual Data Processing: Audio-Visual Data Processing:
year: June 2022 year: June 2022
description: End of semester report on numerous practical works in [Matlab](https://en.wikipedia.org/wiki/MATLAB). Wrote the report using [Pluto.jl](https://github.com/fonsp/Pluto.jl). description: End of semester report on numerous practical works in [Matlab](https://en.wikipedia.org/wiki/MATLAB). Wrote the report using [Pluto.jl](https://github.com/fonsp/Pluto.jl).
pdf: /assets/TAV/ repository: https://git.fainsin.bzh/ENSEEIHT/TP-traitement-audio-visuel
image: https://fainsil.users.inpt.fr/content/TAV/TP11/exo2_69.png pdf: https://n7.laurent.fainsin.bzh/TP-traitement-audio-visuel/
image: https://n7.laurent.fainsin.bzh/TP-traitement-audio-visuel/content/TP6/exo2_clean.webp
Functional programming and language translation: Functional programming and language translation:
year: 2021 year: 2021
repository: https://git.inpt.fr/tocard-inc/enseeiht/tdl/tp2/ repository: https://git.fainsin.bzh/ENSEEIHT/projet-traduction-langage
pdf: https://git.inpt.fr/tocard-inc/enseeiht/tdl/tp2/-/blob/master/rapport.pdf pdf: https://git.fainsin.bzh/ENSEEIHT/projet-traduction-langage/raw/branch/master/rapport.pdf
description: "Wrote a simple compiler, including the Lexical & Syntax analyzer, the Abstract Syntax Tree Generator, the Target Code Generator." description: Wrote a simple compiler, including the Lexical & Syntax analyzer, the Abstract Syntax Tree Generator, the Target Code Generator.
image: /assets/projects/compiler.png image: /assets/projects/compiler.png
Minishell: Minishell:
year: May 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](https://en.wikipedia.org/wiki/Pipeline_(Unix)) their streams and sending them [signals](https://en.wikipedia.org/wiki/Signal_(IPC)). 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](https://en.wikipedia.org/wiki/Pipeline_(Unix)) their streams and sending them [signals](https://en.wikipedia.org/wiki/Signal_(IPC)).
repository: https://git.inpt.fr/fainsil/minishell repository: https://git.fainsin.bzh/ENSEEIHT/projet-systeme-exploitation-centralise
video: /assets/projects/minishell.webm video: /assets/projects/minishell.webm
Numerical Optimization: Numerical Optimization:
year: 2021 year: 2021
description: Studied (complicated) numerical optimization methods in [Julia](https://julialang.org/). description: Studied (complicated) numerical optimization methods in [Julia](https://julialang.org/).
repository: https://git.inpt.fr/fainsil/optinum repository: https://git.fainsin.bzh/ENSEEIHT/TP-optimisation-numerique-2
video: /assets/projects/optinum.webm video: /assets/projects/optinum.webm
Pagerank: Pagerank:
year: December 2020 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. 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 repository: https://git.fainsin.bzh/ENSEEIHT/projet-programmation-imperative
pdf: https://git.inpt.fr/fainsil/pagerank/-/blob/master/doc/rapport.pdf pdf: https://git.fainsin.bzh/ENSEEIHT/projet-programmation-imperative/raw/branch/master/doc/rapport.pdf
image: /assets/projects/pagerank.png image: /assets/projects/pagerank.png
Graphs: Graphs:
year: January 2022 year: January 2022
description: Studied [Compartmental models in epidemiology](https://en.wikipedia.org/wiki/Compartmental_models_in_epidemiology) using [Julia](https://julialang.org/) and [Graphs](https://github.com/JuliaGraphs/Graphs.jl). description: Studied [Compartmental models in epidemiology](https://en.wikipedia.org/wiki/Compartmental_models_in_epidemiology) using [Julia](https://julialang.org/) and [Graphs](https://github.com/JuliaGraphs/Graphs.jl).
repository: https://git.inpt.fr/tocard-inc/enseeiht/projet-graphes/ repository: https://git.fainsin.bzh/ENSEEIHT/TP-graphes
image: /assets/projects/graph.png image: /assets/projects/graph.png
Sagittarius: Sagittarius:
year: May 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). 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 repository: https://git.fainsin.bzh/ENSEEIHT/projet-programmation-orientee-objet
pdf: https://git.inpt.fr/fainsil/sagittarius/-/blob/master/docs/iteration3/rapport3.pdf pdf: https://git.fainsin.bzh/ENSEEIHT/projet-programmation-orientee-objet/raw/branch/master/docs/iteration3/rapport3.pdf
video: /assets/projects/sagittarius.mp4 video: /assets/projects/sagittarius.mp4
Rendering Engine: Rendering Engine:
year: April 2022 year: April 2022
description: Built a minimal renderer using [Java OpenGL (JOGL)](https://en.wikipedia.org/wiki/Java_OpenGL) and GLUT. 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 repository: https://git.fainsin.bzh/ENSEEIHT/projet-rendu
video: /assets/projects/rendu.webm video: /assets/projects/rendu.webm
Image processing: Image processing:
year: April 2022 year: April 2022
description: Applied image processing techniques, like [k-means](https://en.wikipedia.org/wiki/K-means_clustering) and [meanshift](https://en.wikipedia.org/wiki/Mean_shift), to images. description: Applied image processing techniques, like [k-means](https://en.wikipedia.org/wiki/K-means_clustering) and [meanshift](https://en.wikipedia.org/wiki/Mean_shift), to images.
repository: https://git.inpt.fr/tocard-inc/enseeiht/ti repository: https://git.fainsin.bzh/ENSEEIHT/TP-traitement-image
image: /assets/projects/TI.png image: /assets/projects/TI.png
WebApp: WebApp:
year: June 2022 year: June 2022
description: Inspired by [r/place](https://reddit.com/r/place), this (poc) webapp allows several people to buy and sell pixels on a grid. Built using [Wildfly](https://www.wildfly.org/), [MariaDB](https://mariadb.org/), [Docker](https://www.docker.com/), [Gradle](https://gradle.org/), [J2EE](https://en.wikipedia.org/wiki/Jakarta_EE) and the [REST principles](https://en.wikipedia.org/wiki/Representational_state_transfer). description: Inspired by [r/place](https://reddit.com/r/place), this (poc) webapp allows several people to buy and sell pixels on a grid. Built using [Wildfly](https://www.wildfly.org/), [MariaDB](https://mariadb.org/), [Docker](https://www.docker.com/), [Gradle](https://gradle.org/), [J2EE](https://en.wikipedia.org/wiki/Jakarta_EE) and the [REST principles](https://en.wikipedia.org/wiki/Representational_state_transfer).
repository: https://git.inpt.fr/tocard-inc/enseeiht/projet-web repository: https://git.fainsin.bzh/ENSEEIHT/projet-application-web
image: /assets/projects/webapp.png image: /assets/projects/webapp.png
ISP Modeling: ISP Modeling:
@ -128,21 +148,23 @@ ISP Modeling:
Telecommunication: Telecommunication:
year: 2020 year: 2020
description: Impact of a frequency selective propagation channel and introduction to equalization. description: Impact of a frequency selective propagation channel and introduction to equalization.
repository: https://git.inpt.fr/fainsil/projet-telecom repository: https://git.fainsin.bzh/ENSEEIHT/projet-telecommunications
pdf: https://git.inpt.fr/fainsil/projet-telecom/-/blob/master/rapport.pdf pdf: https://git.fainsin.bzh/ENSEEIHT/projet-telecommunications/raw/branch/master/rapport.pdf
image: /assets/projects/telecom.png image: /assets/projects/telecom.png
Distributed Data Project: Distributed Data Project:
year: 2021 year: 2021
description: Built a [Tuple-Space](https://en.wikipedia.org/wiki/Tuple_space) in [Java](https://en.wikipedia.org/wiki/Java_(programming_language)). description: Built a [Tuple-Space](https://en.wikipedia.org/wiki/Tuple_space) in [Java](https://en.wikipedia.org/wiki/Java_(programming_language)).
repository: https://git.inpt.fr/tocard-inc/enseeiht/pdr repository: https://git.fainsin.bzh/ENSEEIHT/projet-donnees-reparties
pdf: https://git.inpt.fr/tocard-inc/enseeiht/pdr/-/blob/main/docs/RAPPORT.pdf pdf: https://git.fainsin.bzh/ENSEEIHT/projet-donnees-reparties/raw/branch/main/docs/RAPPORT.pdf
image: https://www.researchgate.net/profile/Alexei-Iliasov/publication/4174610/figure/fig1/AS:668921854181395@1536494806575/Linda-agents-communicate-by-exchanging-tuples-of-data-using-a-shared-tuple-space.png
Operations Research: Operations Research:
year: 2021 year: 2021
description: Bunch of exercise, studied [GLPK](https://en.wikipedia.org/wiki/GNU_Linear_Programming_Kit), [Jump.jl](https://jump.dev/), [Dynamic Programming](https://en.wikipedia.org/wiki/Dynamic_programming), [Memoization](https://en.wikipedia.org/wiki/Memoization)... description: Bunch of exercise, studied [GLPK](https://en.wikipedia.org/wiki/GNU_Linear_Programming_Kit), [Jump.jl](https://jump.dev/), [Dynamic Programming](https://en.wikipedia.org/wiki/Dynamic_programming), [Memoization](https://en.wikipedia.org/wiki/Memoization)...
repository: https://git.inpt.fr/tocard-inc/enseeiht/ro repository: https://git.fainsin.bzh/ENSEEIHT/TP-recherche-operationnelle
Data analysis: Data analysis:
year: February 2021 year: February 2021
description: Practicums in Matlab about color space representation, parametric modeling, and Bayesian classification. Exercises include analyzing color correlations, estimating model parameters, and classifying images of flowers. description: Practicums in Matlab about color space representation, parametric modeling, and Bayesian classification. Exercises include analyzing color correlations, estimating model parameters, and classifying images of flowers.
repository: https://git.fainsin.bzh/ENSEEIHT/TP-analyse-donnees

2
src/utils.jl
View file

@ -14,10 +14,12 @@ function hfun_print_projects(yaml_files)
year = """<span class="year">$(project["year"])</span>""" year = """<span class="year">$(project["year"])</span>"""
image = haskey(project, "image") ? """<img src="$(project["image"])">""" : "" image = haskey(project, "image") ? """<img src="$(project["image"])">""" : ""
video = haskey(project, "video") ? """<video controls autoplay loop><source src="$(project["video"])"></video>""" : "" video = haskey(project, "video") ? """<video controls autoplay loop><source src="$(project["video"])"></video>""" : ""
iframe = haskey(project, "iframe") ? """<iframe src="$(project["iframe"])"></iframe>""" : ""
html_string = """ html_string = """
$(html_string) $(html_string)
<h2>$(project_name), <small>$(year)</small></h2> <h2>$(project_name), <small>$(year)</small></h2>
$(iframe)
$(video) $(video)
$(image) $(image)
$(description) $(description)