Top 5 Examples on GitHub you should know about
Did you know MATLAB has a GitHub page? I went to see the site for myself, and it now has over 200 repositories, and quite a few deep learning-related projects.
Below are 5 deep learning examples you may not know existed or perhaps haven’t gotten around to trying yet.
1 |
UNPIC, a new explainer app
UNPIC is an app which can be used to:
|
||
2 |
Yolo V4 Apparently we're up to version 4 for Yolo now, and you don't have to wait for a specific release to utilize the latest version! GitHub Repos are updated whenever a new model available. >> Link to Repo | ||
3 |
Human Pose Estimation
This demo uses a deep neural network to perform 3D pose estimation. It's a pretty popular example, and the GIF makes this look pretty cool. Check it out and let me know what you think. >> Link to Repo |
||
4 |
Transformer Models
I'd been searching for a good example to understand more about GPT-2, but couldn’t find it right away. I'm happy to report it's easy to find with a simple "Transformer" search!! This includes both a BERT example and GPT-2 >> Link to Repo |
||
5 |
Anomaly Detection using Autoencoders This example runs through a full example of using predictive maintenance for Anomaly detection: Extract features and detect anomalies in industrial machinery vibration data using a biLSTM Autoencoder >> Link to Repo |
Other contenders that didn't quite make the top 5:
#6 Mask detection – This is still a popular example that was highlighted as blog post last year: Code is here, Blog Post is here. #7 Reinforcement Learning for Finance – This was released as an example almost 2 years ago, but remains popular. If you are into RL for Finance, you should definitely check this out: https://github.com/matlab-deep-learning/reinforcement_learning_financial_tradingSee all of the deep learning repositories on MATLAB's Github Page, and leave a comment for other examples you like or would you’d like to see in the future.
- Category:
- Deep Learning
Comments
To leave a comment, please click here to sign in to your MathWorks Account or create a new one.