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Reinforcement learning:
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).
pdf: /assets/RL-n7/
image: /assets/projects/rl.png
Deep Learning Project 2 (WIP):
year: January 2023
description: Built in Python a Semi-Supervised Contrastive Learning model to classify animals.
@ -6,19 +12,24 @@ Distributed Systems and Algorithms (WIP):
year: January 2023
description: Studied and presented the [Raft Consensus Algorithm](https://raft.github.io/) and its implementations.
Parallel Computing (WIP):
Parallel Computing:
year: December 2022
description: Practicums in C to learn about parallel computing with [OpenMPI](https://www.open-mpi.org/).
Compression & Streaming (WIP):
Digital Audio (WIP):
year: December 2022
description: Praticums in Python about voice and music processing.
Compression & Streaming:
year: December 2022
description: Praticums in matlab about compression and streaming technologies. Mainly JPEG, JPEG-2000 and MPEG2.
image: /assets/projects/csi.webp
Augmented computer Vision (WIP):
year: December 2022
description: Project in Python to control a virtual avatar from its camera. Used OpenPose and OpenCV.
Augmented Reality (WIP):
Augmented Reality:
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.
@ -49,7 +60,7 @@ Geometric Modeling:
Audio-Visual Data Processing:
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).
website: https://laurent.fainsin.bzh/assets/TAV/
pdf: /assets/TAV/
image: https://fainsil.users.inpt.fr/content/TAV/TP11/exo2_69.png
Functional programming and language translation:
@ -131,3 +142,7 @@ Operations Research:
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)...
repository: https://git.inpt.fr/tocard-inc/enseeiht/ro
Data analysis:
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.