In Machine Learning, we always want to get insights into data: like getting familiar with the training samples or better understanding the label distribution. To do that, we visualize the data in many ...
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Ensuring Training Reproducibility in PyTorch
Imagine you trained a deep learning model on some dataset. A few days later, you want to reproduce the same experiment, but if you were not careful, you may never be able to reproduce the same ...
Gaze Tracking
In today's post, we are covering the topic of Gaze Estimation and Tracking. I was invited to give a talk on the subject at a workshop on Eye Tracking for AR and VR organized by Facebook Research ...
Faster R-CNN Object Detection with PyTorch
1. Image Classification vs. Object Detection Image Classification is a problem where we assign a class label to an input image. For example, given an input image of a cat, the output of an image ...
PyTorch Tutorial For Beginners: All the Basics
The world is evolving and so is the technology serving it. It's crucial for everyone to keep up with the rapid changes in technology. One of the domains witnessing the fastest and largest evolution is ...
PyTorch Model Inference using ONNX and Caffe2
After the release of PyTorch in October 2016 by Facebook, it quickly gained popularity because of its developer friendliness. With its transparent and Pythonic interface, it is great for research and ...