blingbling11

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

python_for_data_analysis_2nd_chinese_version

《利用Python进行数据分析·第2版》

bigdata_analyse

大数据分析项目

toBeTopJavaer

To Be Top Javaer - Java工程师成神之路

advanced-java

😮 Core Interview Questions & Answers For Experienced Java(Backend) Developers | 互联网 Java 工程师进阶知识完全扫盲：涵盖高并发、分布式、高可用、微服务、海量数据处理等领域知识

small-spring

🌱《 Spring 手撸专栏》，本专栏以 Spring 源码学习为目的，通过手写简化版 Spring 框架，了解 Spring 核心原理。在手写的过程中会简化 Spring 源码，摘取整体框架中的核心逻辑，简化代码实现过程，保留核心功能，例如：IOC、AOP、Bean生命周期、上下文、作用域、资源处理等内容实现。

Python-For-Data-Analysis

实践《利用Python进行数据分析》

PapersNotes

读论文与理解

audio_study

audio_study

plot_methods

各种画图方法的学习

feature_engineering

特征工程学习

DeepLearning

mmpose

OpenMMLab Pose Estimation Toolbox and Benchmark.

elf

ffmpeg-android-java

Android java library for FFmpeg binary compiled using https://github.com/writingminds/ffmpeg-android

camera-samples

Multiple samples showing the best practices in camera APIs on Android.

dds

Server-driven Video Streaming for Deep Learning Inference

leetcode-master

《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

nn-Meter

A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.

CS-Notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

springboot-guide

SpringBoot2.0+从入门到实战！

awesome-java

Collection of awesome Java project on Github(非常棒的 Java 开源项目集合).

java-books-collections

:books:Java编程书籍收集分享。Java programming books collection to share.:rocket:

openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

Point-GNN

Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud, CVPR 2020.

pygcn

Graph Convolutional Networks in PyTorch

OpusDemo

Opus在iOS上的demo

gcn

Implementation of Graph Convolutional Networks in TensorFlow

GNNPapers

Must-read papers on graph neural networks (GNN)

Interview

Interview = 简历指南 + 算法题 + 八股文 + 源码分析