Welcome to eve’s documentation!

eve-mli is an open-source deep learning framework used to devise various architectures in a more flexible and interesting way.

Contents:

• Readme
  • Installation
  • Quick Start
  • About the project
  • Next to do
  • About the authors
  • References
• Copyright

Guidance

Contents:

• Spiking Neural Network
  • IFNode with different timesteps
  • IFNode vs LIF Node
  • IFNode with different configurations
  • IFNode with different surrogate functions
  • Hybrid
• Quantization Neural Network
  • Quan param vs Quan act
  • Round vs LSQ vs LLSQ on act only
  • Average tracker vs Global tracker
  • Round with with different bits¶
  • quan with other arguments
• Pruning Neural Network
  • l1 norm
  • fire rate
• NAS

Indices and tables

• Index

• Module Index

• Search Page

APIs

• eve package
  • Subpackages
    • eve.app package
      • Subpackages
      • Submodules
      • eve.app.algo module
      • eve.app.buffers module
      • eve.app.callbacks module
      • eve.app.env module
      • eve.app.exp_manager module
      • eve.app.hyperparams_opt module
      • eve.app.logger module
      • eve.app.model module
      • eve.app.policies module
      • eve.app.space module
      • eve.app.trainer module
      • eve.app.upgrader module
      • eve.app.utils module
      • Module contents
    • eve.core package
      • Submodules
      • eve.core.eve module
      • eve.core.layer module
      • eve.core.node module
      • eve.core.quan module
      • eve.core.quantize_fn module
      • eve.core.state module
      • eve.core.surrogate_fn module
      • Module contents
    • eve.utils package
      • Submodules
      • eve.utils.legacy module
      • Module contents
  • Module contents