Popular GitHub Repositories for Depth Samples

In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

Best Practices, code samples, and documentation for Computer Vision.

Effortless data labeling with AI support from Segment Anything and other awesome models.

An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.

Samples for ML.NET, an open source and cross-platform machine learning framework for .NET.

使用代理开发工具包 (ADK) 构建的一组示例代理

[ICCV 2019] Monocular depth estimation from a single image

A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.

A procedural Blender pipeline for photorealistic training image generation

A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.

[CVPR 2024 - Oral, Best Paper Award Candidate] Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation

Metric depth estimation from a single image

Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and?code

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

High Resolution Depth Maps for Stable Diffusion WebUI

API libraries, samples, and system images for AIY Projects (Voice Kit and Vision Kit)

High Quality Monocular Depth Estimation via Transfer Learning

In-depth tutorials for implementing deep learning models on your own with PyTorch.

Depth map library for use with the Control Net extension for Automatic1111/stable-diffusion-webui