Lasagne/Lasagne

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

3857 stars · 929 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Lasagne is a lightweight Python library for building and training neural networks on top of Theano. It supports feed-forward, convolutional, and recurrent architectures with transparent CPU/GPU execution via Theano's symbolic differentiation.

Use cases

• build and train convolutional neural networks in Python
• implement LSTM recurrent networks for research
• train neural networks on GPU with Theano
• define custom cost functions without deriving gradients
• prototype multi-input multi-output network architectures

When to choose

• you already use Theano and want a thin, transparent layer API
• you need full control over Theano expressions for research experiments
• you want modular layers, optimizers, and regularizers you can use independently

When to avoid

• you are starting a new project - Theano is discontinued and PyTorch/TensorFlow are the modern choices
• you need an actively developed library with new features and community support
• you want high-level abstractions and prebuilt model zoos

Facets

library · maturity maintenance

deep-learning machine-learning gpu-computing deep-learning machine-learning python cross-platform neural-networks theano cnn lstm research gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="Lasagne/Lasagne")