https://github.com/deepbiolab/deepbiolab.github.io

DeepBioLab is an AI-focused platform designed to explore, build, and share advanced AI algorithms. It features educational content, projects, and research on topics like deep learning, reinforcement learning, and more. Dive into algorithms, develop from scratch, and discover solutions to science problems.
https://github.com/deepbiolab/deepbiolab.github.io

ai ai-for-science antibody-design bioprocess-development deep-learning machine-learning reinforcement-learning

Last synced: about 1 month ago
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DeepBioLab is an AI-focused platform designed to explore, build, and share advanced AI algorithms. It features educational content, projects, and research on topics like deep learning, reinforcement learning, and more. Dive into algorithms, develop from scratch, and discover solutions to science problems.

• Host: GitHub
• URL: https://github.com/deepbiolab/deepbiolab.github.io
• Owner: deepbiolab
• License: mit
• Created: 2024-10-11T17:05:25.000Z (4 months ago)
• Default Branch: master
• Last Pushed: 2024-10-25T03:46:54.000Z (3 months ago)
• Last Synced: 2024-10-26T17:15:16.402Z (3 months ago)
• Topics: ai, ai-for-science, antibody-design, bioprocess-development, deep-learning, machine-learning, reinforcement-learning
• Language: HTML
• Homepage: https://deepbiolab.ai
• Size: 90.3 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# [DeepBioLab](https://deepbiolab.ai)

![logo](assets/img/logo-name.svg)

**[deepbiolab.ai](https://deepbiolab.ai)** is an interactive platform designed for AI enthusiasts, researchers, and developers working at the intersection of artificial intelligence and biological sciences. The website provides a collaborative space to explore and dive into cutting-edge AI algorithms, including deep learning, machine learning, reinforcement learning, and their applications in biology and other scientific domains.

## Key Features

- **Blog**: Dive into detailed blog posts covering topics like generative AI, reinforcement learning, and computer vision. Stay updated with the latest research, papers, and AI-related tutorials.

- **Repositories**: Explore repositories for various AI projects, from deep learning models to biology-related AI innovations. Each repository contains detailed project information and implementation guidelines.

- **Research Highlights**: Discover key publications, papers, and projects within the AI community. Gain insights into how AI is transforming scientific research, with a focus on biological applications.

- **Categories & Tags**: The platform offers organized browsing through categories such as AI, programming, business, and more. Users can easily navigate content using tags like language-models, vision-models, algorithms, robotics, and productivity.

- **AI4Science**: A dedicated section for AI for science, exploring how artificial intelligence is being used to address fundamental challenges in biology, chemistry, and physics.

- **Project Categorization**: All projects are neatly categorized into multiple areas like deep learning, machine learning, bioprocess development, antibody design, and more.

- **Interactive Elements**: The website supports rich interaction with embedded images, videos, and responsive elements for a smooth user experience.

## License

This website is licensed under the [MIT License](LICENSE).