The field of artificial intelligence is thriving, and one of the shining stars in this domain is the Awesome Decision Transformer (DT). This repository is a treasure trove of research papers relating to Decision Transformers, continuously updated to keep you at the...
Data Science
Harnessing the Power of Notebooks in Statistics and Machine Learning
In the world of data science, notebooks have become an essential tool for both budding data enthusiasts and seasoned professionals. This blog post will guide you through the ins and outs of using notebooks for statistics and machine learning, making complex concepts...
How to Get Started with Stanford CoreNLP
If you’ve ever wanted to process human language data or dive into natural language processing (NLP), Stanford CoreNLP has you covered! This robust set of tools enables language analysis and simplifies complex tasks like parsing and sentiment analysis. In this guide,...
How to Use HugNLP for Your NLP Projects
Welcome to the world of HugNLP, the novel development and application library designed to boost the efficiency of NLP researchers. This guide will help you get started with HugNLP, from installation to running tasks, along with troubleshooting tips to ensure a smooth...
Getting Started with ExecuTorch: Your Guide to On-Device Inference
Welcome to the exciting world of ExecuTorch, an end-to-end solution designed to enable on-device inference capabilities across a broad array of mobile and edge devices! Whether you’re working on wearables, embedded systems, or microcontrollers, ExecuTorch, a part of...
Getting Started with Music Information Retrieval (MIR)
If you've ever wondered how machines process and understand music, you're in the right place! Welcome to the captivating world of Music Information Retrieval (MIR). In this guide, we'll take you through the essential components to help you embark on your journey in...
How to Build a Real-Time Stock Market Prediction Server Using Machine Learning
Welcome to the world of stocks and predictions! In this blog, we will explore how to create a server architecture specifically designed for real-time stock market predictions using Machine Learning. By leveraging powerful technologies like TensorFlow.js, Kafka, and...
How to Get Started with UniDepth: Universal Monocular Metric Depth Estimation
Welcome to your comprehensive guide on setting up and utilizing UniDepth, a cutting-edge implementation of depth estimation. This paper is set to be a highlight at CVPR 2024, as it brings forth revolutionary solutions for depth estimation using monocular images. Let’s...
Getting Started with SRGAN in TensorFlow
Welcome! If you’re interested in enhancing image quality through Generative Adversarial Networks (GANs), then you’re in the right place. This guide walks you through the process of implementing the Photo-Realistic Single Image Super-Resolution Using a Generative...
