Name: Allaa Boutaleb
Type: User
Company: Sorbonne Université - Sciences et Ingéniere
Bio: Final year Master's student in Data Science & AI, Sorbonne University.
Location: 4, Place Jussieu, 75005
Allaa Boutaleb's Projects
Aligned Neural Topic Model (ANTM) for Exploring Evolving Topics: a dynamic neural topic model that uses document embeddings (data2vec) to compute clusters of semantically similar documents at different periods, and aligns document clusters to represent topic evolution.
Refined Investigations on Aligned Neural Topic Models:\\ Interpretability, Topic Alignment, and Contextualized Topic Representation
A showcase of different forms of Supervised and Unsupervised learning classifiers on the Agribalyse database.
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
Code for the paper: Towards Training Without Depth Limits: Large Batch Normalization Without Gradient Explosion.
Réponses aux travaux machines du modules MAPSI (méthodes et algorithmes de proba et statistiques en info), Master informatique parcours données, apprentissage et connaissance DAC à SU.
Creating beautiful plots of data maps
Application of deep learning and convolutional networks for ECG classification
A project made in collaboration with five other classmates, coded fully in Java, showcasing the efficiency of Principal Compoment Analysis method in Facial Recogntion.
LlamaIndex is a data framework for your LLM applications
An End-To-End Hate/Offensive speech detection of Mastodon Toots
Exercise notebooks for Machine Learning modules on Microsoft Learn
A network packet analyzer java application. This was a project I worked on with the collabrtion of EL GHALI YOSR, under the supervision of PROMETHEE SPATHIS and KIM THAI.
TMEs sur la recherche d’Information et Traitement Automatique de la Langue.
Project of the course of complexity, probabilistic and approached methods that I followed during M1 DAC at Sorbonne University.
Projet du module logique et représentation des connaissances que j'ai suivi en master 1 Données, Apprentissage et Connaissances DAC à SU.
A motion detection project made in C with an emphasis on low-level optimization. This project was made during my 3rd year of Computer Science at Sorbonne University, in collaboration with NASSIM AHMED ALI and under the supervision of QUENTIN MEUNIER.
NLP Project: Discourse Classification and Sentiment Analysis
A Jupyter kernel to launch queries against SPARQL endpoints
A Library for Advanced Deep Time Series Models.
Top2Vec learns jointly embedded topic, document and word vectors.
[NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models
A series of solved Computer Vision practicals during the final Masters Year (M2 DAC) at Sorbonne University.