Easily find and view pre-trained AI models through the command line

Command Line

GUI

What EasyModels does

EasyModels is an easy way to find and view deep learning projects and pre-trained models. It utilizes the modelzoo.co API (sorry ModelZoo, but you didn’t do a great job of hiding it so I hope you don’t mind!). With EasyModels, you can discover various projects based on the categories they are organized into on ModelZoo. I intend to add more APIs to this project, so if you know of any that could be useful, please feel free to make a PR or open an Issue thread with your suggestions. This project was written in literally 45 minutes, and since then, various one-liner fixes and features have been added along the way. If you encounter any bugs, please open an Issue thread on this repo.

Categories

• Computer Vision
• Natural Language Recognition
• Audio and Speech
• Generative Models
• Reinforcement Learning
• Unsupervised Learning

License

I, Max Bridgland, hereby allow all human beings to use this project and distribute it within their own projects with due credit. Due credit requires my name and this repo’s URL being posted visibly for all users. Enjoy! 😛
Copyright 2019 Max Bridgland

How it works

To get started with EasyModels, you need to install it via pip or clone the repository. Here’s how you can do that:

pip install easymodels

Alternatively, you can clone this repository and run the following command:

python setup.py install easymodels --disable-update # disable checking for newest version

For GUI users, simply run:

easymodels --gui

This will launch a command line tool that guides you through the process of extracting models available through the modelzoo API.

Troubleshooting

If you encounter any issues while using EasyModels, here are some troubleshooting tips:

• Installation errors: Ensure that you have the latest version of pip and Python installed on your machine.
• API connection issues: Check your network connection and ensure that the modelzoo.co website is up and running.
• Model retrieval failures: Make sure you are using the correct syntax and parameters when invoking EasyModels.

For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

Conclusion

By using EasyModels, you’re stepping into a world where pre-trained AI models are just a command away. It’s like having a virtual library at your fingertips, where each model is a book waiting to be explored. The process is straightforward, and with the GUI, it’s even friendlier. Dive in, explore various projects, and contribute to this open-source initiative!

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.