buptpatriot Goto Github PK

2048-ai

aicamera

Demonstration of using Caffe2 inside an Android application.

aircompressor

A port of Snappy, LZO and LZ4 to Java

android

android-mvp-interactor-architecture

Extension of the android-mvp-architecture for very large projects.

android-open-project

Collect and classify android open source projects, 交流 QQ 群：377723625 (入群必须填写群介绍问题答案)

anko

Pleasant Android application development

architect-awesome

后端架构师技术图谱

arcore-android-sdk

Google ARCore SDK for Android Studio

arrow

Functional companion to Kotlin's Standard Library

art-of-readme

:love_letter: Learn the art of writing quality READMEs.

awesome-flutter

An awesome list that curates the best Flutter libraries, tools, tutorials, articles and more.

awesome-kotlin

A curated list of awesome Kotlin related stuff Inspired by awesome-java.

buptpatriot.github.io

My blog.

cc

业界首个支持渐进式组件化改造的Android组件化开源框架，支持跨进程调用。Componentize your android project gradually.

deepsense

Deepsense: a unified deep learning framework for time-series mobile sensing data processing.

design-patterns-in-kotlin

Design Patterns implemented in Kotlin

dexposed

dexposed enable 'god' mode for single android application.

effectivetensorflow

Tensorflow tutorials and best practices.

faceid_beta

An implementation of iPhone X's FaceID using face embeddings and siamese networks on RGBD images.

fish-shell

The user-friendly command line shell.

free-programming-books-zh_cn

:books: 免费的计算机编程类中文书籍，欢迎投稿

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

intellij-community

IntelliJ IDEA Community Edition

interview-notebook

:calendar: 准备秋招学习笔记

interview_internal_reference

2019年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。

kryo

Java binary serialization and cloning: fast, efficient, automatic

material-animations

Android Transition animations explanation with examples.

mmkv

An efficient, small mobile key-value storage framework developed by WeChat. Works on iOS and Android.

mobile-deep-learning

This research aims at simply deploying CNN(Convolutional Neural Network) on mobile devices, with low complexity and high speed.