Fatma Moalla's Projects
Automatic Chord Recognition Using Deep Learning, within Audio Signal Processing (E. Bacry) in MVA 2019/2020
Research project ( collaboration with MICS Lab at CentraleSupélec)
Kaggle competition repository: computer vision and object recognition
Assignments for the recvis19 within MVA master (INRIA Paris, WILLOW)
Final project for the 2019 course Object Recognition and Computer Vision
Implementation of the Barrier Method
Projects within the Deep Learning course (V. Lepetit MVA 2019)
An application that predicts the chords when melspectrograms of guitar sound is fed into a CNN.
Develop a basic probabilistic parser for French that is based on the CYK algorithm and the PCFG model and that is robust to unknown words.
For the second assignment of Visual Computing course at CentraleSupélec 2020
A Probabilistic Context Free Grammar Parser for French based on CYK algorithm
Basic probabilistic parser for French that is based on the CYK algorithm and the PCFG model and that is robust to unknown words with an OOV Module
2019 Probabilistic Graphical Models within MVA (P.Latouche - N.Chopin)
Tensorflow implementation of NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
Personal Homeworks for MVARL 2019 course ( A.Lazaric, FAIR)
Assignments for the course Speech recognition and NLP (E.Dupoux and B.Sagot)
Final Group project for the Visual Computing course ( CS 2020)
Whole Slide Images Segmentation using Patch UNet