Introducing GradientCI our new friendly CI/CD bot for Machine Learning and AI pipelines
A step-by-step guide for getting started with GradientCI.
By
Dillon
Articles
By
Dillon
Featured
public
Series: Data Augmentation
Data Augmentation for Bounding Boxes: Rethinking Image Transforms for Object Detection
How to adapt major image augmentation techniques for object detection purposes. We also cover the implementation of horizontal flip augmentation.
7 years ago
Data Augmentation for Bounding Boxes: Scaling and Translation
We implement Scale and Translate augmentation techniques, and what to do if a portion of your bounding box is outside the image after the augmentation.
7 years ago
Data Augmentation for Bounding Boxes: Rotation and Shearing
This is part 3 of the series where we are looking at ways to adapt image augmentation techniques to object detection tasks. In this part, we will cover how to implement how to rotate and shear images as well as bounding boxes using OpenCV's affine transformation features.
7 years ago
Data Augmentation For Bounding Boxes: Building Input Pipelines for Your Detector
Previously, we have covered a variety of image augmentation techniques such as Flipping, rotation, shearing, scaling and translating. This part is about how to bring it all together and bake it into the input pipeline for your deep network.
7 years ago
The New Paperspace Community
The Community is designed with several top-level categories covering different use-cases as well as Paperspace specific categories. Check out the features below!
By
George
Cloud reliability & performance improvements 💪
Our goal in the recent performance improvements and cloud reliability is to increase uptime, be more proactive, and respond more quickly to anything that comes up.
7 years ago
Gradient update (7/18/2018)
Gradient° has been updated in response to a ton of feedback from the community. Here's a roundup of some of the things we've added recently.
By
Dillon
Featured
public
Quilt
Reproducible machine learning with PyTorch and Quilt
In this article, we'll use Quilt to transfer versioned training data to a remote machine. We'll start with the Berkeley Segmentation Dataset, package the dataset, then train a PyTorch model for super-resolution imaging.
By
Aneesh Karve
