Alternatives and similar repositories for 2021:

Users that are interested in 2021 are comparing it to the libraries listed below

• epfml / ML_course
  EPFL Machine Learning Course, Fall 2024
  ☆1,285Updated 2 months ago
• HexHive / thesis_template
  Template for EPFL (BSc, MSc, or doctoral) theses and semester projects
  ☆130Updated 2 months ago
• zifeo / EPFL
  EPFL summaries & cheatsheets over 5 years (computer science, communication systems, data science and computational neuroscience).
  ☆165Updated 3 years ago
• LSIR / DIS
  CS-423 Distributed Information Systems
  ☆70Updated 2 months ago
• epfl-ada / 2020
  Materials for Applied Data Analysis CS-401, fall 2020
  ☆49Updated 2 years ago
• epfml / OptML_course
  EPFL Course - Optimization for Machine Learning - CS-439
  ☆1,233Updated this week
• phlippe / UvA_Summaries
  Summaries of courses in the AI Master programme at UvA
  ☆169Updated 2 years ago
• epfl-ada / 2024
  Materials for Applied Data Analysis CS-401, Fall 2024
  ☆49Updated 2 months ago
• ebezzam / python-dev-tips
  Minimal package to demonstrate good Python development habits
  ☆103Updated last week
• sscardapane / reprodl2021
  Host repository for the "Reproducible Deep Learning" PhD course
  ☆406Updated 2 years ago
• epfl-ada / 2023
  Materials for Applied Data Analysis CS-401, Fall 2023
  ☆38Updated last year
• CLAIRE-Labo / python-ml-research-template
  A template for starting reproducible Python machine-learning projects with hardware acceleration. Find an example at https://github.com/C…
  ☆96Updated 3 weeks ago
• grok-ai / nn-template
  Generic template to bootstrap your PyTorch project.
  ☆641Updated last year
• sweng-epfl / public
  Software Engineering course materials from EPFL
  ☆101Updated 7 months ago
• xbresson / CS6208_2023
  Advanced Topics in Artificial Intelligence, NUS CS6208, 2023
  ☆321Updated last year
• Kaleidophon / deep-significance
  Enabling easy statistical significance testing for deep neural networks.
  ☆331Updated 9 months ago
• craffel / dl3d-seminar
  Course webpage for COMP 790, (Deep) Learning from Limited Labeled Data
  ☆304Updated 4 years ago
• rishabhk108 / AdvancedOptML
  CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning
  ☆175Updated 3 years ago
• rbardenet / bml-course
  Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille
  ☆86Updated last month
• probabilisticai / probai-2022
  Materials of the Nordic Probabilistic AI School 2022.
  ☆175Updated 2 years ago
• DeepLearningDTU / 02456-deep-learning-with-PyTorch
  Exercises and supplementary material for the deep learning course 02456 using PyTorch.
  ☆328Updated 5 months ago
• eemlcommunity / PracticalSessions2021
  ☆62Updated 3 years ago
• archinetai / surgeon-pytorch
  A library to inspect and extract intermediate layers of PyTorch models.
  ☆472Updated 2 years ago
• M2Lschool / tutorials2022
  The M2L school 2022 tutorials
  ☆36Updated 2 years ago
• probabilisticai / probai-2023
  Materials of the Nordic Probabilistic AI School 2023.
  ☆89Updated last year
• LauzHack / deep-learning-bootcamp
  LauzHack Deep Learning Bootcamp
  ☆48Updated last month
• khipu-ai / practicals-2019
  Practical notebooks for Khipu 2019, held in Universidad de la República in Montevideo.
  ☆244Updated 5 years ago
• eemlcommunity / PracticalSessions2022
  Hands-on tutorials at EEML2022 summer school
  ☆62Updated 2 years ago
• IgorSusmelj / pytorch-styleguide
  An unofficial styleguide and best practices summary for PyTorch
  ☆1,970Updated 3 years ago
• vopani / jaxton
  100 exercises to learn JAX
  ☆576Updated 2 years ago