epfml

    epfml/ML_course

    EPFL Machine Learning Course, Fall 2026

    machine-learning
    Jupyter Notebook
    2.1K stars
    1.0K forks
    2.1K GitHub watchers
    Updated Oct 29, 2026
    View on GitHub

    Build with Backblaze B2

    SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.

    Explore Backblaze Labs

    Loading star history...

    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    The project lists 36 contributors on GitHub.

    Gained 1,312% more stars in the last 90 days than in the 90 days before.

    Use Cases & Benefits

    • Provides comprehensive lecture notes, labs, and projects for a university-level machine learning course.
    • Offers a structured and complete educational resource with code templates and solutions for hands-on learning.
    • Use for self-studying foundational and advanced machine learning concepts through practical exercises.
    • Use for instructors seeking a ready-to-use curriculum and materials to teach machine learning at university level.
    • Use for students preparing for exams or projects by reviewing detailed course content and example implementations.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    No license detected

    No license file detected by GitHub: unless the project grants one elsewhere, the default is all rights reserved.

    Community files

    • README: present

    Watch-outs

    • Warning: No license file detected by GitHub: unless the project grants one elsewhere, you generally have no permission to use, modify or distribute the code.
    • No GitHub releases; pin a commit or tag instead of a release.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    Machine Learning Course, Fall 2025

    The course website and syllabus is available here: https://epfml.github.io/cs433-2025/

    This repository contains all lecture notes, labs and projects - resources, code templates and solutions. Organizational information is available at the course website here.

    Videos will be available after each lecture on the mediaspace channel, including also the previous year's 2024 and 2023 videos.

    Contact us if you have any questions, via the discussion forum (for EPFL students), or email to the assistants or teachers. Please create issues and pull requests here using the menu above.

    Excerpt from the epfml/ML_course README on GitHub. © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Forks

    1.0K+22

    Open issues

    5+0

    Compared with peers in Machine Learning

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth

    epfml/ML_course compared with Machine Learning repositories by stars, 7-day star growth, health score and last release
    RepositoryStars+7dHealthLast release
    photoprism/photoprism40.4K—651 day ago
    huggingface/diffusers34.8K—653 days ago
    onnx/onnx21.6K—6331 days ago
    lukas-blecher/LaTeX-OCR16.6K—18—
    milesial/Pytorch-UNet11.7K—18—
    epfml/ML_course2.1K—29—
    Category median21.6K—63—

    Discover Repositories

    Search across tracked repositories by name or description