lisa-lab/DeepLearningTutorials resource
Deep Learning Tutorial notes and code. See the wiki for more info. observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 6082
- days_rel: n/a
- days_push: 2163
- n_releases_24m: 0
Adoption not part of the score
4150 stars · 2113 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
A collection of deep learning tutorial notes and Python code from the LISA lab, teaching core deep learning algorithms using the Theano library. It includes runnable example code, datasets, and Sphinx-built documentation browsable online.
Use cases
- learn deep learning algorithms from scratch
- understand how to implement neural networks in Theano
- find example code for training models on GPU
- study classic deep learning tutorials like autoencoders and RBMs
- get started with deep learning in Python
When to choose
- you want to learn deep learning fundamentals with hands-on code
- you are working with or maintaining legacy Theano-based models
- you prefer algorithm-level explanations over high-level framework abstractions
When to avoid
- you want to build production models with modern frameworks like PyTorch or TensorFlow
- you need actively maintained or up-to-date tutorials
- you require a supported license for redistribution
Facets
learning-resource · maturity maintenance
machine-learning deep-learning gpu-computing deep-learning machine-learning tutorials python cross-platform theano educational neural-networks tutorials
1 source
- readme: https://github.com/lisa-lab/DeepLearningTutorials · fetched 2026-08-28 · 35f8059f112b
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| lisa-lab/DeepLearningTutorials | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="lisa-lab/DeepLearningTutorials")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem