Data Science
A Comprehensive Guide to Getting Started with DGL

A Comprehensive Guide to Getting Started with DGL

Deep Graph Library (DGL) is an exceptional Python package designed for deep learning on graphs. It simplifies the process of building graph neural networks (GNNs) while being compatible with major deep learning frameworks like PyTorch, TensorFlow, and MXNet. In this...

Getting Started with TensorRT Inference Using YOLO Models

Are you ready to dive into high-performance inference using TensorRT with YOLO models? Whether you’re a newcomer or a seasoned pro, this guide will walk you through the essential steps to implement object detection with TensorRT, showcasing its capabilities with...

Building Your NLP DNN Models Like Playing Lego

Building Your NLP DNN Models Like Playing Lego

Welcome to this guide on getting started with NeuronBlocks, an innovative NLP deep learning modeling toolkit. Think of building your models like assembling a Lego set — you can easily combine blocks to create something powerful and effective. In this article, we’ll...

How to Use Pyresparser: A Simple Resume Parser

How to Use Pyresparser: A Simple Resume Parser

Welcome to the world of automated resume parsing! If you're tired of manually sifting through resumes to gather crucial information, then Pyresparser might just be your new best friend. This powerful yet straightforward tool helps you extract vital details from...

How to Chat with Your Documents Using Local Llama

How to Chat with Your Documents Using Local Llama

Welcome to the world of Local Llama! With this project, you can interact with your PDF, TXT, and DOCX files completely offline. This means more privacy and a smoother experience without relying on external OpenAI services. Let's dive into the journey of installation,...