lisa-lab/pylearn2

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

2767 stars · 1082 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Pylearn2 is a Python machine learning research library built on top of Theano, developed by the LISA lab at Université de Montréal. It provides models, training algorithms, and datasets for deep learning research, including GPU-accelerated convolutional network wrappers.

Use cases

• train deep neural networks on MNIST or CIFAR-10
• run machine learning experiments with Theano
• implement custom models and training algorithms for research
• use GPU-accelerated convolutional networks
• reproduce historical state-of-the-art deep learning results

When to choose

• you need to reproduce or extend legacy research code written with Pylearn2 or Theano
• you are studying historical deep learning implementations like maxout networks

When to avoid

• you are starting a new machine learning project - the project has no active developers
• you want a maintained framework - use PyTorch, TensorFlow, or Keras instead

Facets

library · maturity abandoned

machine-learning deep-learning machine-learning deep-learning python theano deep-learning research-library deprecated neural-networks research gpu

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markdown · JSON · MCP: product_card(name="lisa-lab/pylearn2")