Transparent exploration of machine learning for biomarker discovery from structural data. This is another development fork from OmicLearn.
A three minute quickstart video to showcase OmniLearner can be found here.
This is an online version hosted by streamlit using free cloud resources, which might have limited performance. Use the local installation to run OmniLearner on your own hardware.
You can use the one-click installer to install OmniLearner as an application locally. Click on one of the links below to download the latest release for:
[Windows], [macOS], [Linux]
For detailed installation instructions of the one-click installers refer to the documentation.
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It is strongly recommended to install OmniLearner in its own environment using Anaconda or Miniconda.
- Redirect to the folder of choice and clone the repository:
git clone https://github.com/ChenglongWang/OmniLearner - Create a new environment for OmniLearner:
conda create --name omnilearner python=3.9 - Activate the environment with
conda activate omnilearner - Change to the OmniLearner directory with
cd OmniLearnerand install OmniLearner withpip install .
- Redirect to the folder of choice and clone the repository:
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After a successful installation, type the following command to run OmniLearner:
python -m OmniLearner -
After starting the streamlit server, the OmniLearner page should be automatically opened in your browser (Default link:
http://localhost:8501
The following image displays the main steps of OmniLearner:
Detailed instructions on how to get started with OmniLearner can be found here.
On this page, you can click on the titles listed in the Table of Contents, which contain instructions for each section.
All contributions are welcome. 👍
📰 To get started, please check out our CONTRIBUTING guidelines.
When contributing to OmniLearner, please open a new issue to report the bug or discuss the changes you plan before sending a PR (pull request).
We appreciate community contributions to the repository.