# glouppe/info8010-deep-learning

Lectures for INFO8010 Deep Learning, ULiège

Repository: https://github.com/glouppe/info8010-deep-learning
Canonical: https://ross.abutalabs.com/products/info8010-deep-learning
Language: Jupyter Notebook
License: BSD-3-Clause
License Family: permissive
Last push: 2026-07-13T09:33:45+00:00

## Health v2 (maintenance only)
Score: 67/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 92, release rhythm 16, longevity 100
- inputs: {"age_days": 3094, "days_push": 51, "days_rel": 467, "gap_med": 101, "n_releases_24m": 2}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1292, forks 333 (observed 2026-08-28T04:04:16.042083+00:00)

## What it is
Lecture materials and Jupyter notebook code for INFO8010 Deep Learning, a university course taught by Gilles Louppe at ULiège. It covers machine learning fundamentals, neural network training, CNNs, computer vision, and more with hands-on PyTorch notebooks.

## Use cases
- learn deep learning from scratch
- university-level neural networks course materials
- pytorch tutorial notebooks for training neural networks
- understand convolutional neural networks and computer vision
- study automatic differentiation and backpropagation
- self-study machine learning fundamentals

## When to choose
- you want structured, academically rigorous deep learning lectures
- you prefer learning with runnable Jupyter notebook examples in PyTorch
- you need free course material covering ML fundamentals through modern architectures

## When to avoid
- you need production deep learning tooling rather than educational content
- you want a software library or framework to build applications with
- you need certification or instructor feedback from the actual course

## Facets
- artifact type: learning-resource
- maturity: active
- function: machine-learning, deep-learning, computer-vision
- domain: deep-learning, machine-learning, tutorials, education
- platform: python, cross-platform
- tags: university-course, lecture-notes, jupyter-notebooks, pytorch, neural-networks

## Member repositories
- glouppe/info8010-deep-learning (main) score 67

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:16.042083+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:54:44.251091+00:00, confidence not recorded.
  - readme: https://github.com/glouppe/info8010-deep-learning (fetched 2026-08-28T04:04:16.042083+00:00, sha 70fc8e4d4de5)
- Data as of 2026-08-30T08:39:29.467469+00:00.