Student Robotics, Systems and Control at ETH Zürich
Detectron2 is Facebooks new vision library that allows us to easily us and create object detection, instance segmentation, keypoint detection and panoptic segmentation models. Learn how to use it for both inference and training.
Turn your data science scripts and projects into beautiful websites/dashboards using Streamlit.
One of the most popular languages today is C# which is used for many applications. To use the power of Machine Learning in C# Microsoft created a package called ML.NET which provides all the basic Machine Learning functionality.
Local model interpretation is a set of techniques aimed at answering questions like: Why did the model make this specific prediction? What effect did this specific feature value have on the prediction?
Global model interpretation is a set of techniques that helps us to answer questions like how does a model behave in general? What features drive predictions and what features are completely useless for your cause.
The Google Coral Edge TPU allows edge devices like the Raspberry Pi or other microcontrollers to exploit the power of artificial intelligence.
Regardless of what problem you are solving an interpretable model will always be preferred because both the end-user and your boss/co-workers can understand what your model is really doing.
Learn how to create your own object detector using the Tensorflow Object Detection API.
Get started visualizing data in Python using Matplotlib, Pandas and Seaborn
Learn the basics of Keras, a high-level library for creating neural networks running on Tensorflow.
Gilbert Tanner is a Robotics, Systems and Control student at ETH Zürich.
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