Projet de NLP pour la suggestion de tags sur Stack Overflow. Comparaison de modèles supervisés (Logistic Regression, SGD, SVM, XGBoost) et non supervisés (LDA, NMF). Implémentation finale dans une API Streamlit déployée sur Streamlit Cloud

'Primer to Machine Learning' is a comprehensive guide covering essential topics in machine learning, including statistics, data preprocessing, supervised and unsupervised learning, neural networks, deep learning, NLP, time series analysis, and reinforcement learning. Perfect for beginners and intermediates.

Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Exercises on Machine Learning

Implementation of EM/MV metrics based on N. Goix et al.

Lua-Based Machine, Deep And Reinforcement Learning Library (For Roblox And Pure Lua). Contains 34 Models!

A system for music producers and rappers/singers. I was trying to implement the product recommendation feature for music uploaded by producers. I used the collaborative filtering algorithm to be able to recommend songs to users.

Programs of Data Science batch @ MITU Skillologies, July 2024

An overview of all clustering techniques available in sckit learn library with examples of data.

Machine learning repository exploring various algorithms.

Machine Learning Notebooks

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

The collection and reproduction code of the clustering methods I have known

A curated list of classic artificial intelligence paper

Ben Gurion University "Machine Learning (372.2.5214)" course assignments & solutions

XCSF learning classifier system: rule-based online evolutionary machine learning

RaKUn 2.0 - A fast keyword detection algorithm

Entries for the 2023 5th National College Student Integrated Circuit EDA Elite Challenge. SoC chip physical layout static IR drop prediction project based on methods such as image processing and NLP unsupervised learning.

Khiops is an AutoML suite for supervised and unsupervised learning