In the world of data analysis, time series data often presents unique challenges, particularly when it comes to identifying trends and fluctuations. The ZigZag library is a powerful tool that offers functions to detect peaks and valleys in time series data and compute...
If you're eager to see a reinforcement learning (RL) agent smoothly navigating the captivating worlds of Atari games, you’re in the right place! This guide walks you through the exciting journey of building your very own DQN to Rainbow agent, offering both theoretical...
Welcome to the full guide on how to utilize the exciting capabilities of the StableSR project in order to achieve impressive image super-resolution results. This project is based on the latest research detailed in the paper and offers a robust range of...
Features | Roadmap | Contribute | Run Locally | Open Core Quick Start Try the cloud preview ↗ Join the Discord - Help with algorithm: star this repo You can also build and deploy yourself! However, you must configure your environment. What is waggledance.ai?...
Welcome to the fascinating world of 3D Object Detection! In this guide, we will explore how to effectively use the Det3D toolbox in PyTorch. You'll learn about its features, installation process, model zoo, and how to troubleshoot any issues you might encounter along...
Welcome to your guide on utilizing knowledge-distilled versions of Stable Diffusion that are not only smaller but also incredibly faster! Unofficially based on the methods outlined in BK-SDM, this repository harnesses the power of distillation to create models that...
3D image segmentation is essential for various applications, from medical imaging to robotics. To successfully segment these images, utilizing the right loss functions is crucial. This blog will guide you through three prominent loss functions included in the...
Presented by Dr. Sergey Levin at University of California, Berkeley Table of Contents About the Project Main Goals Completed So Far Getting Started Prerequisites Usage Roadmap Contributing License Contact About The Project This project aims to create a PyTorch version...
Open source tooling for data-centric AI on unstructured data Data-Centric AI (DCAI) What is Data-Centric AI? Data-centric AI is a paradigm for developing machine learning (ML) solutions focused on the engineering of the data used to build AI systems. The term, coined...
