The paper titled Benchmarking Neural Network Robustness to Common Corruptions and Perturbations provides researchers with tools and methodologies to test how well neural networks can withstand various corruptions and perturbations. This blog will guide you through the...
High-Performance Reinforcement Learning with RL Games: A Quickstart Guide
Welcome to the realm of Reinforcement Learning (RL) where intelligent agents learn to make decisions through trial and error. In this blog, we will explore how to use the high-performance RL library, RL Games, on your journey to mastering this exciting field. This...
How to Use Makesense.ai for Efficient Photo Labeling
Welcome to the world of makesense.ai, a free-to-use online tool that simplifies the tedious task of labeling photos for computer vision projects. With no cumbersome installations needed, you can get started in a matter of minutes. Whether you’re a seasoned developer...
How to Implement DrQ: Data Regularized Q Using PyTorch
Welcome to a journey through the fascinating world of Deep Reinforcement Learning! In this article, we'll explore the implementation of **DrQ** (Data Regularized Q), a method that leverages image augmentation to enhance the performance of reinforcement learning...
How to Get Started with the New Version of WideStage: Your Lightweight Business Intelligence Tool
WideStage is a powerful yet lightweight business intelligence tool specifically designed for reporting across various databases such as MongoDB, PostgreSQL, MySQL, and MS SQL Server. If you’re looking for an effective way to analyze your data without the bloated...
Getting Started with PointMamba for Point Cloud Analysis
Welcome to the world of point cloud analysis! In this article, we'll dive into the exciting world of **PointMamba**, a simple state space model (SSM) designed for tackling challenges within point cloud data. Whether you are a seasoned data scientist or just stepping...
How to Use the Distributions.jl Package in Julia
The Distributions.jl package is a powerful tool for anyone looking to work with probability distributions in Julia. Whether you're a statistician, a data scientist, or a developer, this package provides a robust set of functions to calculate and manipulate various...
How to Setup Jupyter for NLP, ML, and AI with Python
Are you ready to dive into the exciting world of Natural Language Processing (NLP), Machine Learning (ML), and Artificial Intelligence (AI)? If you've found the resources from Damir Cavar at Indiana University and want to try them out, you're in the right place! In...
How to Navigate Your Generative AI Workbook
Welcome to the world of Generative AI, where creativity meets coding! This blog will guide you through utilizing the Generative AI Workbook, a central hub for all your generative AI endeavors—from projects and courses to hands-on examples. Let's dive in! Understanding...