feat: more projects
This commit is contained in:
parent
08879f9dff
commit
6656a5f480
|
@ -1,3 +1,9 @@
|
||||||
|
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):
|
Deep Learning Project 2 (WIP):
|
||||||
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.
|
||||||
|
@ -6,19 +12,24 @@ Distributed Systems and Algorithms (WIP):
|
||||||
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.
|
||||||
|
|
||||||
Parallel Computing (WIP):
|
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/).
|
||||||
|
|
||||||
Compression & Streaming (WIP):
|
Digital Audio (WIP):
|
||||||
|
year: December 2022
|
||||||
|
description: Praticums in Python about voice and music processing.
|
||||||
|
|
||||||
|
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.
|
||||||
|
image: /assets/projects/csi.webp
|
||||||
|
|
||||||
Augmented computer Vision (WIP):
|
Augmented computer Vision (WIP):
|
||||||
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.
|
||||||
|
|
||||||
Augmented Reality (WIP):
|
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.
|
||||||
|
|
||||||
|
@ -49,7 +60,7 @@ Geometric Modeling:
|
||||||
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).
|
||||||
website: https://laurent.fainsin.bzh/assets/TAV/
|
pdf: /assets/TAV/
|
||||||
image: https://fainsil.users.inpt.fr/content/TAV/TP11/exo2_69.png
|
image: https://fainsil.users.inpt.fr/content/TAV/TP11/exo2_69.png
|
||||||
|
|
||||||
Functional programming and language translation:
|
Functional programming and language translation:
|
||||||
|
@ -131,3 +142,7 @@ 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.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.
|
||||||
|
|
Loading…
Reference in a new issue