sunyanjie2020,github

-awesome-data-augmentation

This is a list of awesome methods about data augmentation.

-data-augmentation-review

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.

airtest

UI Automation Framework for Games and Apps

animal-recognition-expert-system

:tiger: 用产生式系统设计的一个简单动物识别专家系统，正向推理，支持规则增删改查

anylock-ls-

The best open source locker system in Portland!

ar-hover-ui-kit

Create beautiful user interfaces for immersive VR/AR experiences.

ar.js

Efficient Augmented Reality for the Web - 60fps on mobile!

ar_vr_aframe

:a: Web framework for building virtual reality experiences.

arfoundation-samples

Example content for Unity projects based on AR Foundation

autoagents

Complex question answering in LLMs with enhanced reasoning and information-seeking capabilities.

autoaugment_detection

Unofficial Pytorch implementation of the paper 'Learning Data Augmentation Strategies for Object Detection'

autoplace

Implementation for the paper: AutoPlace: Robust Place Recognition with Single-chip Automotive Radar

clip-lit

[ICCV 2023, Oral] Iterative Prompt Learning for Unsupervised Backlit Image Enhancement

db-gpt

Revolutionizing Database Interactions with Private LLM Technology

dwpose

"Effective Whole-body Pose Estimation with Two-stages Distillation" (ICCV 2023, CV4Metaverse Workshop)

dynacam

[CVPR 2023] DynaCam dataset - 3D human trajectories in global coordinates from videos captured by dynamic cameras

fc-fnf-video-processing

函数计算 FC + 函数工作流 FnF 轻松构建Serverless 架构的弹性高可用视频处理系统

fedcom

🔬 FedCom为SWPU2022届本科毕业设计《基于社区检测的多任务聚类联邦学习》。本研究提出了一种多任务聚类联邦学习（clustered federated learning, CFL）的新方法，该方法的特点是基于社区检测（community detection）来进行聚类簇的动态划分。

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