Welcome to dlex’s documentation!

dlex is an open-source framework for machine learning scientific experiment. Features include:

• Configuration-based experiment setup. Less code for more reproducibility

• Pytorch or Tensorflow 2.0 or scikit-learn as backend with similar training flow

• Efficiently log, report and analyze experiment results

• Cross-platform GUI for monitoring experiments, either local or remote sever (Electron-based)

dlex is built on top of other libraries: it provides wrappers for many built-in modules, data loaders and models from other open-source projects (torchtext, torchvision, etc.) so that they can all be used the same manner.

Resources

• Various model implementations

• Implementations of machine learning algorithms for graph

Contents:

• Getting Started
  • Install
  • Set up an experiment
• Configurations
  • Top-level entries
  • Environment
  • Model
  • Data Set
  • Train
  • Test
• Dataset
  • ImageDataset
• Model
  • Pytorch Model

Indices and tables

• Index

• Module Index

• Search Page