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100-days-of-ml-code

100 Days of ML Coding

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

algs4

Algorithms, 4th edition textbook code and libraries

apollo

An open autonomous driving platform

autolabor

autoware

Open-Source To Self-Driving.

cartographer_ros

Provides ROS integration for Cartographer.

codinginterviewchinese2

《剑指Offer》第二版源代码（Clone from: https://github.com/zhedahht/CodingInterviewChinese2）

common_msgs

Commonly used messages in ROS. Includes messages for actions (actionlib_msgs), diagnostics (diagnostic_msgs), geometric primitives (geometry_msgs), robot navigation (nav_msgs), and common sensors (sensor_msgs), such as laser range finders, cameras, point clouds.

crawler4j

Open Source Web Crawler for Java

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deeplearningtutorials

Deep Learning与PyTorch入门实战视频教程

depth-mask-rcnn

Using Kinect2 Depth Sensors To Train Neural Network For Object Detection & Interaction

end-to-end-learning-for-self-driving-cars

Build a self driving car using deep reinforcement learning.

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

flink-doc-zh

Apache Flink 中文文档

geektime-spring-family

极客时间视频课程《玩转Spring全家桶》

geometry

Packages for common geometric calculations including the ROS transform library, "tf". Also includes ROS bindings for "bullet" physics engine and "kdl" kinematics/dynamics package.

geometry2

A set of ROS packages for keeping track of coordinate transforms.

hexo-theme-next

Elegant and powerful theme for Hexo.

interview-notebook

:memo: 准备秋招学习笔记

ipv6-hosts

javaee-tutorial

Maven + Mysql + Shiro + SpringMVC + Spring

javaguide

【Java学习+面试指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。

kaggle

Kaggle 项目实战（教程） = 文档 + 代码 + 视频（欢迎参与）

keras

Deep Learning for humans

learn-python3

Learn Python 3 Sample Code

leetcode

lty1994.github.io

machine-learning-study-path-march-2019

A complete ML study path, focused on TensorFlow and Scikit-Learn