g-li Goto Github PK

basic_reinforcement_learning

An introduction series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

bookshelf

coursera

Quiz & Assignment of Coursera

coursera-deep-learning-deeplearning.ai

（完结）网易云课堂微专业《深度学习工程师》听课笔记，编程作业和课后练习

coursera_deep_learning

This something about deep learning on Coursera by Andrew Ng

credit_card_identification

OpenCV图像处理的信用卡，卡号数字识别

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-learning-specialization-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep_reinforcement_learning_course

Implementations from the free course Deep Reinforcement Learning with Tensorflow

deeplearning-udacity-assignments

deeplearning.ai-summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

django-ex

django_exercise

kdd2015

kdd cup 2015

lamp.wp

study lamp and wp

lotteryhelper

一个用于给福彩自动对号的工具，给福彩拍照后自动识别上面的号码，自动从网络获取本期获奖号码，与识别后的号码进行匹配，对比出改彩票是否有中奖号码

machine-learning

Andrew Ng's machine learning programming assignments on Coursera

medicalnamedentityrecognition

Medical Named Entity Recognition implement using bi-directional lstm and crf model with char embedding.CCKS2017中文电子病例命名实体识别项目,主要实现使用了基于字向量的四层双向LSTM与CRF模型的网络.该项目提供了原始训练数据样本(一般醒目,出院情况,病史情况,病史特点,诊疗经过)与转换版本,训练脚本,预训练模型,可用于序列标注研究.把玩和PK使用.

mooc-coursera-advanced-machine-learning

Content from Coursera's ADVANCED MACHINE LEARNING Specialization (Deep Learning, Bayesian Methods, Natural Language Processing, Reinforcement Learning, Computer Vision).

new-pac

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcement-learning-1

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

reinforcement-learning-an-introduction

Python implementation of Reinforcement Learning: An Introduction

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

rlai-exercises

Exercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]

scikit-learn

scikit-learn: machine learning in Python

smp_lpr

利用树莓派实现车牌识别，其中借鉴了大神的代码，调用摄像头，实现了车牌识别，设计一款基于树莓派实现车牌识别的智能限高杆。系统可以分为辨识部分和警示部分，辨识部分以树莓派3B+为核心处理器，基于Linux平台，利用激光对准模块来判断车辆是否超出限定高度，若超过则辅以摄像头来作为抓取车辆信息。通过python3.5和OpenCV来对含有车牌信息的图片，进行高斯去噪、灰度化、边缘检测、二值化、闭操作、字符分割、字符识别匹配等一系列图像处理操作最终实现车牌识别这个系统，最后通过串口将车牌信息发送给警示部分，考虑到要提高数据传输之间的可靠性，本系统自定义了串口之间传输的协议帧组。警示部分主要以STC12C5A32S2为处理核心，辅以点阵屏做为警示。单片机在接收到辨识部分发过来的车牌信息之后，将车牌信息显示在点阵屏上面，不断闪烁以警示超高司机注意安全。

spark-deep-learning

Deep Learning Pipelines for Apache Spark

spark-py-notebooks

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

spark-sklearn

Scikit-learn integration package for Spark

tensorflow

Computation using data flow graphs for scalable machine learning