ELEKTRONN2 is a Python-based toolkit for training 3D/2D CNNs and general neural networks.


ELEKTRONN2 is being superceded by the more flexible, PyTorch-based elektronn3 library. elektronn3 is actively developed and supported, so we encourage you to use it instead of ELEKTRONN2 (if elektronn3’s more experimental status and currently less extensive documentation are acceptable for you).

API documentation

Auto-generated documentation from docstrings and signatures.

ELEKTRONN2 consists of 4 main sub-modules:

  • neuromancer: Classes and functions for designing neural network models
  • training: Training neural networks
  • data: Reading and processing data sets
  • utils: Utility functions and data structures

Indices and tables