In the world of programming, data visualization is akin to turning complicated math equations into engaging illustrations. Just as a well-crafted graphic can bring stories to life, good data representation helps communicate complex ideas with clarity. In this article,...
Data Science
From Zero to Research Scientist: A Comprehensive Guide
This guide is tailored for anyone with basic programming knowledge or a computer science background who wishes to become a Research Scientist focusing on Deep Learning and Natural Language Processing (NLP). Whether you prefer a Bottom-Up or Top-Down approach, this...
Building LEGO for 3D Reconstruction on Mobile Devices
In an era where 3D reconstruction technology is on the rise, the MobileBrick project stands as a beacon of innovation. This project is led by Kejie Lia, Jia-Wang Bian, Robert Castle, Philip H.S. Torr, and Victor Adrian Prisacariu. MobileBrick Project Page | arXiv |...
Project Insight
NLP as a Service Contents Introduction Features Installation Setup and Documentation Project Details Demonstration Directory Details How to Add a new Model License Introduction Project Insight is designed to create NLP as a service with a code base for both front end...
How to Set Up and Use DeepVoice3 with PyTorch
Welcome to the world of AI-driven text-to-speech synthesis! In this tutorial, we will explore how to effectively set up and use the DeepVoice3 model with PyTorch. This model utilizes convolutional networks for synthesizing speech from text, enabling both single and...
Reimplementing Soft Actor-Critic Algorithms: A Comprehensive Guide
The Soft Actor-Critic (SAC) algorithms are pivotal in the world of deep reinforcement learning, known for their effectiveness and efficiency. This article will guide you through reimplementing these algorithms, focusing on both the traditional and a deterministic...
How to Get Started with AutoML-GS: Your Friend in Machine Learning
Are you ready to dip your toes into the exciting world of machine learning without getting lost in the code jungle? Let’s explore how to leverage AutoML-GS—an AutoML tool that allows you to create high-performing models effortlessly! What is AutoML-GS? Imagine...
How to Extract and Summarize PDF Content with Python
Welcome to an exciting journey where we learn how to extract valuable insights from PDF files using Python! In this guide, we will cover how to use popular libraries such as PyPDF2, PyMuPDF, Langchain, and RWKV. We will also provide troubleshooting tips along the way,...
How to Implement Inverse Q-Learning (IQ-Learn) for Imitation Learning
Welcome to an exciting exploration of Inverse Q-Learning (IQ-Learn), a novel and state-of-the-art framework for imitation learning. This user-friendly guide will help you understand the implementation of IQ-Learn and troubleshoot common issues. Let's dive in! What is...
