Deep learning library for research experiments
Project description
[!] This code is under development and mainly for my personal use. This project is for fast prototyping of deep learning and machine learning model with minimal code. Some parts of the code may not be well-commented or lack of citation.
dlex is an open source framework for machine learning scientific experiment.
Features
- 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)
Install
pip install dlex
Resources
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
dlex-0.0.4.tar.gz
(58.8 kB
view hashes)
Built Distribution
dlex-0.0.4-py3-none-any.whl
(100.3 kB
view hashes)