zhiyuyan's repositories
MediaPipeUnityPlugin
Unity plugin to run MediaPipe graphs
100-Days-Of-ML-Code
100 Days of ML Coding
AnalogClock
AnalogClock is a simple View for Android
Android-Architecture-knowledge-2-
阿里P7移动架构师学习路线
awesome-adb
ADB Usage Complete / ADB 用法大全
Awesome-Android-Interview
:fire: A awesome android expert interview questions and answers（continuous updating ...）
Awesome-Android-Notebook
:computer: A complete plan for better android developers.（continuous updating ...）
Awesome-Android-Performance
:trophy:Explore Android performance optimization in depth（continuous updating ...）
BeesAndroid
Android系统源码分析重构中
CaptainBlackboard
船长关于机器学习、计算机视觉和工程技术的总结和分享
chineseocr
yolo3+ocr
ClassificationForAndroid
在Android使用深度学习模型实现图像识别，本项目提供了多种使用方式，使用到的框架如下：Tensorflow Lite、Paddle Lite、MNN、TNN
cnn-explainer
Learning Convolutional Neural Networks with Interactive Visualization.
crnn.pytorch
Convolutional recurrent network in pytorch
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
DevBooks
2021面试题，Java面试题、JVM面试题、多线程面试题、并发编程、设计模式面试题、SpringBoot面试题、SpringCloud面试题、MyBatis面试题、ZooKeepe面试题r、Dubbo面试题、Elasticsearch面试题、Memcached面试题、MongoDB面试题、Redis面试题、MySQL面试题、RabbitMQ面试题、Kafka面试题、Linux面试题、Netty面试题、Tomcat面试题、Python面试题
Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
fat-aar-android
A gradle plugin that merge dependencies into the final aar file works with AGP 3.+
GAST-Net-3DPoseEstimation
A Graph Attention Spatio-temporal Convolutional Networks for 3D Human Pose Estimation in Video (GAST-Net)
GitHubDaily
坚持分享 GitHub 上高质量、有趣实用的开源技术教程、开发者工具、编程网站、技术资讯。A list cool, interesting projects of GitHub.
mediapipe_face_detection_aar_example
MediaPipe face detection gpu demo with MediaPipe's Android archive library
mediapipe_multi_hands_tracking_aar_example
MediaPipe multi-hand tracking gpu demo with MediaPipe's Android archive library
mediapipe_multi_hands_tracking_aar_unity
MediaPipe multi-hand tracking gpu demo with MediaPipe's Android archive library. Added with data transfer logic.
TextRecognitionDataGenerator
A synthetic data generator for text recognition
TNN
TNN: developed by Tencent Youtu Lab and Guangying Lab, a lightweight and high-performance deep learning framework for mobile inference. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework. TNN：由腾讯优图实验室和光影实验室协同打造，移动端高性能、轻量级推理框架，同时拥有跨平台、高性能、模型压缩、代码裁剪等众多突出优势。TNN框架在原有Rapidnet、ncnn框架的基础上进一步加强了移动端设备的支持以及性能优化，同时也借鉴了业界主流开源框架高性能和良好拓展性的优点。目前TNN已经在手Q、微视、P图等应用中落地，欢迎大家参与协同共建，促进TNN推理框架进一步完善。
TNN_Demo
🍉 移动端TNN部署学习笔记，支持Android与iOS。
Unity-HandTracking-for-Android-MediaPipe
AR/VR learning project.
UnityHandTrackingWithMediapipe
Realtime hand tracking and finger tracking in Unity using Mediapipe