Neural networks have become the backbone of modern AI applications, and PaddlePaddle is a fantastic framework to help you build these models from scratch. In this article, we will guide you through setting up a simple neural network using PaddlePaddle, ensuring that...
Knowledge QA LLM
Introduction If you have ever wondered how to create a robust Question-Answering system based on a local knowledge base by leveraging Large Language Models (LLMs), you are in the right place! This blog will guide you through the concept and the implementation of a...
How to Get Started with ComflowySpace: Your Open-Source AI Image and Video Generator
Welcome to the fascinating world of ComflowySpace, an innovative open-source AI tool designed for image and video generation. Unlike other platforms like SDWebUI and ComfyUI, ComflowySpace offers a more interactive and user-friendly experience. In this article, we...
Everything About Transfer Learning
Papers • Tutorials • Research Areas • Theory • Code • Dataset & Benchmark 1. What is Transfer Learning? Transfer learning is a technique in machine learning that focuses on storing knowledge gained while solving one problem and applying it to a different but related...
How to Mine Source Code Repositories at Scale Using Tree-Hugger
If you’re looking to dive into the world of code mining and want a tool that’s efficient, versatile, and user-friendly, you’ve come to the right place! Tree-Hugger is a powerful library that enables you to mine Git repositories or any supported code files...
Setting Up Your AI Environment Using OpenAI Gym and Jupyter
Are you ready to dive into the world of artificial intelligence and machine learning using OpenAI Gym and Jupyter? This blog post will guide you through the setup process in an easy-to-follow manner, transforming complex code into a simple recipe for success. Let’s...
You Only Look at One Sequence: How to Implement and Evaluate YOLOS for Object Detection
Welcome to an insightful journey into the fascinating world of object detection! In this tutorial, we're going to explore the YOLOS (You Only Look at One Sequence) model, which cleverly adapts the Vision Transformer (ViT) for object detection tasks. Our focus will be...
How to Get Started with TensorFlow Datasets
Tired of hunting for datasets? Fear not, for every machine learning enthusiast's quest for quality data is about to get a whole lot easier with TensorFlow Datasets (TFDS). TFDS provides a plethora of public datasets packaged as tf.data.Datasets. Let’s embark on a...
PLOP: Learning without Forgetting for Continual Semantic Segmentation
Welcome to the world of AI and deep learning! In this post, we will explore how to implement PLOP (Learning without Forgetting) for continual semantic segmentation. This approach allows models to learn continuously without forgetting the previously learned...







