Data Science
How to Use the “Dont Stop Pretraining” Code

How to Use the “Dont Stop Pretraining” Code

The "Dont Stop Pretraining" code associated with the ACL 2020 paper provides powerful tools for adapting language models to various domains and tasks. This blog will guide you step-by-step through the installation, usage, and troubleshooting of this essential toolkit....

Unlocking the Power of AI: A Comprehensive Guide

Unlocking the Power of AI: A Comprehensive Guide

Artificial Intelligence is not just a buzzword; it is a transformative technology reshaping the way we work, create, and interact. In this article, we will guide you through some exciting AI tools and concepts that can enhance your projects. A Quick Overview of AI...

How to Set Up and Use LOST for Image Annotation

How to Set Up and Use LOST for Image Annotation

Welcome to the world of LOST - Label Objects and Save Time! If you're on a quest to simplify image annotation for collaborative projects, you've stumbled upon a gem. This web-based framework not only offers flexibility but is designed for ease of use. Let’s dive into...

How to Use the 3DMatch Toolbox for 3D Data Handling

When it comes to 3D feature descriptor tasks, the 3DMatch Toolbox is a remarkable solution, especially tailored for working with point clouds, depth maps, and meshes. This article will guide you through utilizing the 3DMatch toolbox effectively, covering everything...

How to Use TfPyTh: Bridging TensorFlow and PyTorch

How to Use TfPyTh: Bridging TensorFlow and PyTorch

Welcome to the fascinating world of machine learning, where TensorFlow meets PyTorch! If you find yourself with two separate codebases—one for TensorFlow and another for PyTorch—don’t fret. With the TfPyTh library, you can train your models end-to-end without having...