Computer Vision In Action
Charmve
A computer vision closed-loop learning platform where code can be run interactively online. 学习闭环《计算机视觉实战演练：算法与应用》中文电子书、源码、读者交流社区（持续更新中 ...） 📘 在线电子书 https://charmve.gith…
Robotics IotReview before use
2.9KGitHub
OPENAGENTSKILL / DIRECTORY
AI Agent Skills
Find a skill for your next task. Explore tools for Codex, Claude Code, Cursor and more.
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2.1KGitHub
Computer Vision Course
huggingface
This repo is the homebase of a community driven course on Computer Vision with Neural Networks. Feel free to join us on the Hugging Face discord: hf.co/join/discord
Robotics IotReview before use
850GitHub
Instant Ngp
NVlabs
Instant neural graphics primitives: lightning fast NeRF and more
Ml AutomationReview before use
17.4KGitHub
Computervision Recipes
microsoft
Best Practices, code samples, and documentation for Computer Vision.
Ml AutomationReview before use
9.9KGitHub
Threejs Awesome Graphics Agent Skills
scottstts
A three.js agent skills for producing awesome graphics for scenes and games
530GitHub
6.8KGitHub
10.3KGitHub
Computer Networking A Top Down Approach NOTES
moranzcw
《计算机网络－自顶向下方法(原书第6版)》编程作业，Wireshark实验文档的翻译和解答。
Productivity AutomationReview before use
5.2KGitHub
Cua
trycua
Open-source infrastructure for Computer-Use Agents. Sandboxes, SDKs, and benchmarks to train and evaluate AI agents that can control full desktops (macOS, Linux, Windows…
AutomationReview before use
21.4KGitHub
Robotgo
go-vgo
RobotGo, Go Native cross-platform RPA, GUI automation, Auto test and Computer use @vcaesar
AutomationReview before use
10.7KGitHub
Vox Director
Alisa0808
Turn one topic into a narrated Vox-style paper-collage explainer or ad video, from script through captions.
326GitHub
6KGitHub
3.5KGitHub
ComputeLibrary
ARM-software
The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.
Robotics IotReview before use
3.2KGitHub
Scenic
google-research
Scenic: A Jax Library for Computer Vision Research and Beyond
Robotics IotReview before use
3.8KGitHub
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