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.dockerignore (24, 2023-11-22)
.env.example (0, 2023-11-22)
.pre-commit-config.yaml (1014, 2023-11-22)
.python-version (5, 2023-11-22)
.streamlit/ (0, 2023-11-22)
.streamlit/config.toml (2565, 2023-11-22)
CODE_OF_CONDUCT.md (3132, 2023-11-22)
Contrib.md (268, 2023-11-22)
Dockerfile (1316, 2023-11-22)
LICENSE (1062, 2023-11-22)
Makefile (1444, 2023-11-22)
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--- title: Decenter.streamlit.app emoji: colorFrom: pink colorTo: red sdk: streamlit sdk_version: 1.28.2 app_file: app.py pinned: false license: mit --- # decenter-ai.streamlit.app # DeCenter AI Decentralized AI Model Training Infrastructure Visit: https://decenter-ai.streamlit.app ## Description DeCenter AI is a PaaS infrastructure that empowers machine learning engineers to train AI models more quickly and affordably through decentralized parallel training mechanisms. ## Table of Contents - [decenter-ai.streamlit.app](https://github.com/DeCenter-AI/decenter-ai.streamlit.app/blob/master/#decenter-aistreamlitapp) - [DeCenter AI](https://github.com/DeCenter-AI/decenter-ai.streamlit.app/blob/master/#decenter-ai) - [Description](https://github.com/DeCenter-AI/decenter-ai.streamlit.app/blob/master/#description) - [Table of Contents](https://github.com/DeCenter-AI/decenter-ai.streamlit.app/blob/master/#table-of-contents) - [Prerequisites](https://github.com/DeCenter-AI/decenter-ai.streamlit.app/blob/master/#prerequisites) - [Overview](https://github.com/DeCenter-AI/decenter-ai.streamlit.app/blob/master/#overview) - [How to use the demo](https://github.com/DeCenter-AI/decenter-ai.streamlit.app/blob/master/#how-to-use-the-demo) - [How to Contribute](https://github.com/DeCenter-AI/decenter-ai.streamlit.app/blob/master/#how-to-contribute) - [License](https://github.com/DeCenter-AI/decenter-ai.streamlit.app/blob/master/#license) - [Contributors](https://github.com/DeCenter-AI/decenter-ai.streamlit.app/blob/master/#contributors) - [Support](https://github.com/DeCenter-AI/decenter-ai.streamlit.app/blob/master/#support) - [Links](https://github.com/DeCenter-AI/decenter-ai.streamlit.app/blob/master/#links) ## Prerequisites To run project, you need to have the following prerequisites: - Python (version 3.10 or higher) installed on your machine. - The necessary Python packages and dependencies installed. You can find the required packages in the `requirements.txt` file of the project repository. - Download and extract the sample python code (model training code), Dataset, requirement text and pre-trained model for the demo [sample1.zip](https://github.com/DeCenter-AI/decenter-ai.streamlit.app/blob/master/https://github.com/DeCenter-AI/decenter-ai.streamlit.app//files/12517829/sample1.zip) ## How to Run with Python3 To run using `Python` and `make`, follow these steps: ```shell git clone https://github.com/DeCenter-AI/decenter-ai.streamlit.app decenter.app cd decenter.app make install # create .env file and fill in the environment variables make run ``` ## How to Run via Docker To run the project using `Docker`, follow these steps: ```shell docker build -t decenter.streamlit . docker run -p 8501:8501 decenter.streamlit ``` > For developers, > I recommend
> ```docker run -it -e "mode=development" -p 8501:8501 decenter```
> playaround and test your code! > Please note that you will need to replace `` with the actual URL of this/forked repo I hope this helps! Raise issues to clarify your doubts and notify bugs. ## Overview DeCenter AI functions as a PaaS infrastructure, empowering machine learning engineers to expedite and make the training of AI models more cost-effective through decentralized parallel training methods. The core objective of DeCenter AI is to democratize and decentralize AI model training. By offering a distributed training platform, it allows data scientists, machine learning engineers, researchers, and AI specialists to collaboratively contribute to the training of AI models. Structured around a distributed parallel training mechanism, DeCenter AI has been designed to facilitate the training of various ML and DL models in a significantly reduced time frame and cost compared to the current norms. Our platform incorporates a built-in incentive system, fueled by DCEN Tokens. This system not only rewards contributors and participants but also encourages them to undertake tasks such as reviewing, testing, and rating AI models. ### Features - Intuitive AI model deployment UI - Customizable node configuration - Private decentralized infrastructure - Scheduled model training ### Target Customers - Data scientists - Machine learning engineers - AI Engineers View our [Customer profile](https://github.com/DeCenter-AI/decenter-ai.streamlit.app/blob/master/https://www.canva.com/design/DAFri_nB4wo/eI4WrI2aQGyfy6T1bx4ZTQ/view?utm_content=DAFri_nB4wo&utm_campaign=designshare&utm_medium=link&utm_source=publishsharelink). ### Benefits - Rapid iteration - Cost effective - Seamless deployment - Automated resource management ## How to use the demo 1. Visit https://decenter-ai.streamlit.app 2. Enter model name 3. Upload training dataset 4. Select training script 5. Click train 6. Model training commences 7. After training is done , you can download your trained model ## How to Contribute We welcome contributions from the community! To get started, follow these steps: 1. Fork the repository on GitHub. 2. Clone your fork of the repository to your local machine. 3. Create a new branch for your changes: `git checkout -b /your-feature-branch`. 4. Make your changes and commit them to your branch. 5. Push your changes to your fork on GitHub. 6. Open a pull request from your fork's branch to the main repository. Please make sure to follow the [Code of Conduct](https://github.com/DeCenter-AI/decenter-ai.streamlit.app/blob/master/./CODE_OF_CONDUCT.md) when contributing to this project. ## License DeCenter AI is released under the [MIT License](https://github.com/DeCenter-AI/decenter-ai.streamlit.app/blob/master/https://opensource.org/licenses/MIT). ## Contributors - Victor Kaycee [Email](https://github.com/DeCenter-AI/decenter-ai.streamlit.app/blob/master/victorkaycee17@gmail.com). [Linkedln](https://github.com/DeCenter-AI/decenter-ai.streamlit.app/blob/master/https://www.linkedin.com/in/victor-kaycee). - Hiro Nasfame [Email](https://github.com/DeCenter-AI/decenter-ai.streamlit.app/blob/master/laciferin@gmail.com). [Linkedln](https://github.com/DeCenter-AI/decenter-ai.streamlit.app/blob/master/http://linkedin.com/in/laciferin/). - William Ikeji [Email](https://github.com/DeCenter-AI/decenter-ai.streamlit.app/blob/master/williamikeji@gmail.com). [Linkedln](https://github.com/DeCenter-AI/decenter-ai.streamlit.app/blob/master/https://www.linkedin.com/in/codypharm/). - Dinesh [Email](https://github.com/DeCenter-AI/decenter-ai.streamlit.app/blob/master/dineshjnld22@gmail.com). [Linkedln](https://github.com/DeCenter-AI/decenter-ai.streamlit.app/blob/master/https://www.linkedin.com/in/-dinesh-7a83b2241). ## Support For any inquiries or assistance, please contact our support team at admin@decenterai.com or visit our [website](https://github.com/DeCenter-AI/decenter-ai.streamlit.app/blob/master/https://decenterai.com/). ## Links [Deck](https://github.com/DeCenter-AI/decenter-ai.streamlit.app/blob/master/https://bit.ly/decenterai).

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