/Courses-Udem

A repository containing some of my homeworks and projects done at Université de Montréal

Primary LanguageJupyter Notebook

Courses-Udem

A repository containing some of my homeworks and projects done at Université de Montréal

Contains:

IFT 6269 - Probabilistic Graphical Models (Fall 2018)

Prof. Simon Lacoste-Julien

Link to IFT 6269 course website

  • Homework 1 (code)
  • Homework 2 (theory and code)
  • Homework 3 (theory and code)
  • Homework 4 (theory and code)
  • Homework 5 (theory and code)
  • Project (report and code)

IFT 6390 - Fundamentals of Machine Learning (Fall 2018)

Prof. Ioannis Mitliagkas

  • Homework 1 (theory and code)
  • Homework 2 (theory and code)
  • Homework 3 (theory and code)
  • Homework 4 (theory and code)
  • Project (poster, report and code)

IFT 6285 - Natural Language Processing (Fall 2018)

Prof. Philippe Langlais

Link to IFT 6285 course website

  • Project 1 (report and code)
  • Project 2 (report and code)
  • Project 3 (report and code)

IFT 6135 - Representation Learning (Winter 2019)

Prof. Aaron Courville

Link to IFT 6135 course website

  • Homework 1 (reports and code)
  • Homework 2 (reports and code)
  • Homework 3 (reports and code)

IFT 6760A - Matrix and tensor factorization techniques for machine learning (Winter 2019)

Prof. Guillaume Rabusseau

Link to IFT 6760A course website

  • Paper presentation (Spectral clustering from a geometrical viewpoint)
  • Scribe Notes (Proof of the Johnson Lindenstrauss Lemma & application to linear regression in high dimension)
  • Project (report and code)

IFT 6132 - Advanced Structured Prediction and Optimization (Winter 2019)

Prof. Simon Lacoste-Julien

Link to IFT 6132 course website

  • Scribe Notes (Introduction to structured prediction & variance reduced SGD )
  • Project (report and code)