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...
How to Implement Smaller, Faster Stable Diffusion Models
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...
How to Use Loss Functions for 3D Image Segmentation
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...
Getting Started with the PyTorch Version of CS285 Deep Reinforcement Learning Course
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...
Awesome Open Data-Centric AI
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...
How to Visualize Your GitHub Stats with Transparency
The world of coding on GitHub can sometimes feel like navigating a dense jungle, with its sprawling repositories and intricate statistics. But fear not! With the help of the GitHub Stats Transparent repository, you can cut through the foliage and create clear...
How to Use DeZero: A Beginner’s Guide
If you're venturing into the world of deep learning, DeZero is a nifty tool that allows effortless manipulation of data and computation. This guide will walk you through the essential steps to get started with DeZero, troubleshooting along the way. What is DeZero?...
How to Work with the Deep Motion Editing Library
The Deep Motion Editing Library is a fascinating tool that utilizes PyTorch to transform 3D character animation through deep learning techniques. By offering essential capabilities for reading and editing animation files, as well as rendering through Blender, it opens...
Geospatial Machine Learning: A Comprehensive Guide
Welcome to the exciting world of Geospatial Machine Learning! In this article, we'll explore a curated list of resources that are focused on Machine Learning in Geospatial Data Science. Buckle up as we navigate through code projects, datasets, research papers, books,...