Data Science

Learning to Rank in PyTorch with allRank

Welcome to the fascinating world of learning to rank (LTR) in PyTorch! Today, we'll explore how to get started with allRank, a comprehensive framework built specifically for training neural LTR models. Whether you’re an eager researcher or a curious industry...

Applying Reinforcement Learning in Quantitative Trading

Applying Reinforcement Learning in Quantitative Trading

Welcome to a deep dive into the fascinating world of applying reinforcement learning (RL) in quantitative trading. This blog post will guide you through the concepts, methodologies, and some hands-on tips for getting started with this sophisticated financial strategy...

How to Deploy Machine Learning Models with MLEM

How to Deploy Machine Learning Models with MLEM

Deploying machine learning (ML) models can sometimes feel like navigating a maze. With MLEM, the process becomes much simpler, as it provides a structured way to package and deploy your models across different platforms effortlessly. In this guide, we'll walk through...

How to Use Personae for Quantitative Trading

How to Use Personae for Quantitative Trading

Welcome aboard the exciting journey into the realms of quantitative trading! In this article, we will explore the Personae repository, which combines the powers of Deep Reinforcement Learning (RL) and Supervised Learning (SL) in financial markets. Buckle up as we...

Awesome Diffusion Categorized: The Ultimate Guide

Awesome Diffusion Categorized: The Ultimate Guide

Welcome to the world of diffusion models, where creativity meets technology! This guide will help you navigate the intricate landscape of diffusion methodologies, giving you tools to enhance image generation, video editing, and everything in between. From image...

How to Implement XLNet with PyTorch

How to Implement XLNet with PyTorch

Welcome to our blog! Today, we're diving into the fascinating world of XLNet, a cutting-edge language representation model. We'll guide you through a simple implementation with PyTorch, ensuring you grasp the essentials without getting tangled in technical jargon....