Deepend is an advanced end-to-end machine learning framework. It offers many tools, and libraries with a platform that helps novices gain experience fast and offers researchers and community members all around the globe to publish their work and show their talents.
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Here's a blank template to get started: To avoid retyping too much info. Do a search and replace with your text editor for the following: Letsmoe, deepend, Continu13798401, linkedin_username, email, email_client, Deepend, project_description
To start off, open a terminal and add Deepend from your preferred package manager, this will get you up and running in seconds. Deepend comes with some small datasets already preinstalled, we offer you to download many more from our website though and we entice you to take a look at Kaggle datasets.
To run Deepend it is required that you have NumPy installed. The utilities module requires you to have OpenCV and os installed.
pip install deependDeepend is both a backend and frontend for creating machine learning models. Importing it is as simple as any other package. After you installed it from pip you can run
import deependThis will get you everything deepend comes with, to be more specific you can import each module separately. Deepend comes with the following modules:
import deepend.utils as utilities
import deepend.activations as activations
import deepend.models as models
import deepend.losses as losses
import deepend.metrics as metrics- [] LSTM Layers and GRU Cells
- [] N-Dimensional Convolutional Layers
See the open issues for a full list of proposed features (and known issues).
Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.
If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature) - Commit your Changes (
git commit -m 'Add some AmazingFeature') - Push to the Branch (
git push origin feature/AmazingFeature) - Open a Pull Request
Distributed under the MIT License. See LICENSE.txt for more information.
Your Name - @Continu13798401 - [email protected]
Project Link: https://github.com/Letsmoe/deepend