Deep Learning

How a wise use of direction when doing message passing on heterophilic graphs can result in very significant gains. — Graph Neural Networks (GNNs) are highly effective at modelling relational data. However, current GNN models frequently assume the input graph to be undirected, overlooking the inherent directionality of many real-world graphs, such as social, transportation, transaction, and citation networks. In this blog post, we explore the impact of edge directionality…

Researchers and Engineers alike, often use train_test_split from scikit-learn library or rely on existing split datasets for their use. What if I told you, the same can be done in a few lines of code using shell scripting? Or batch Scripting (as done in the link below) An elegant way to split a Dataset into Train, Val, and Test splits in Batch Script In the post linked below, we can see how to split a dataset into the train, validation, and test splits using Shell…medium.com

Are you curious about how deep neural networks can revolutionize the assessment of language proficiency? In this article, we will explore an exciting Kaggle competition that aims to evaluate the language skills of English Language Learners (ELLs). We will dive into an intriguing code implementation using a deep neural network…

Introduction: In the current digital era, YouTube has established itself as a leading platform for content producers to disseminate their ideas, amuse, and inform millions of viewers worldwide. The screenplay is a key component of making captivating YouTube videos. You can stay organised and improve the overall quality and impact…

In this blog post, we will explore the process of fine-tuning SAM (Segment-Anything-Model), an image semantic segmentation model. We will delve into the reasons behind fine-tuning, what are available strategies and I’ll share tips and caveats from my own experiments. SAM is a powerful image semantic segmentation model designed to…

Before diving into neural networks, it’s crucial to understand the basics of machine learning. Machine learning involves the use of algorithms to learn patterns from data. To put it in simpler terms, the computer learns how to perform the task by analysing data and discovering patterns. There are two main…

The Power of now How the Power of Now can Improve your relationships “Unlocking the Secret to Strong Connections Through Present Moment Awareness" Through my journey of Spirituality, I’ve traveled many roads and have learned many lessons. From learning to meditate, letting go, and bonding with nature and crystals; I can honestly say I’ve done it all. I still…

LIFE QUESTIONS ARE YOU LIVING AND OR EXISTING? Life daily presents you with so many questions that are waiting for your answers. If you are not providing timely answers to these questions you are existing and not living. If you are just existing, you will take whatever answer is available…