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aigamedev/scikit-neuralnetwork

Deep neural networks without the learning cliff! Classifiers and regressors compatible with scikit-learn. observed · 2026-08-28

github.com/aigamedev/scikit-neuralnetwork · Python · BSD-3-Clause (permissive) · archived observed · 2026-08-28

Health v2 · maintenance only

10/100

  • Activity 0
  • Release rhythm 8
  • Longevity 100

Flags: archived

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: 4174
  • days_rel: n/a
  • days_push: 2033
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1204 stars · 216 forks observed · 2026-08-28

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

A Python library providing deep neural network classifiers and regressors with a scikit-learn-compatible API, wrapping Lasagne and Theano. It supports MLPs, auto-encoders, convolutional layers, and common optimizers and regularization techniques.

Use cases

  • train a neural network classifier with a scikit-learn-style API
  • fit a multi-layer perceptron regressor in Python
  • use convolutional layers without writing Theano code
  • apply dropout and L2 regularization to a deep network
  • run neural networks on numpy or pandas data

When to choose

  • you want scikit-learn-compatible deep learning estimators
  • you're already using Theano/Lasagne and want a friendlier interface

When to avoid

  • you need modern frameworks like PyTorch or TensorFlow
  • you need recurrent networks or recent GPU features
  • you need actively maintained software

Facets

library · maturity maintenance

machine-learning deep-learning machine-learning deep-learning data-science python scikit-learn neural-networks lasagne theano wrapper

2 sources

Member repositories

RepositoryRoleHealth v2
aigamedev/scikit-neuralnetworkmain10

For agents

markdown · JSON · MCP: product_card(name="aigamedev/scikit-neuralnetwork")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem