注册KEY:https://dev.botframework.com/bots/new
BOT SDK下载:https://docs.botframework.com/en-us/downloads/
Accord.NET:机器学习框架,包含了音频和图像处理的库(计算机视觉、计算机听觉、信号处理和统计)。
Accord.NET Extensions:高级图像处理和计算机视觉算法扩展。
AForge.NET:为计算机视觉和人工智能领域的开发者和研究人员提供的框架(包括图像处理、神经网络、遗传算法、机器学习、机器人科学)。
Deedle:处理探索性数据的数据帧和时序库,支持 C# 和 F#。
FsLab:数据科学和机器学习库的集合,支持 F# 和 .NET。
numl :包含最流行的监督学习和无监督学习算法,尽量减少创建预测模型时的冲突。
R Provider :将 R 语言包和函数封装为类型安全的类型提供程序供 F# 调用。
F# Data:F# 类型提供程序,访问 XML、JSON、CSV 和 HTML 文件(基于样例文档),以及 WorldBank 数据。
https://www.codeproject.com/Articles/18216/SophiaBot-creating-a-talking-artificial-personalit
https://github.com/quozd/awesome-dotnet#artificial-intelligence
https://www.microsoft.com/en-us/research/project/video-games-and-artificial-intelligence/
:
https://sourceforge.net/directory/science-engineering/ai/os:windows/
https://en.wikipedia.org/wiki/Artificial_intelligence
https://dev.botframework.com/
https://github.com/Microsoft/BotBuilder/tree/master/CSharp
https://docs.botframework.com/en-us/downloads/
API https://azure.microsoft.com/en-us/services/cognitive-services/
https://blogs.msdn.microsoft.com/uk_faculty_connection/2016/01/04/project-oxford-artificial-intelligence-based-vision-speech-and-language-api/
平台(或者软件)包括:Caffe, Torch, MXNet, CNTK, Theano, TensorFlow, Keras
https://www.technologyreview.com/s/426153/google-and-microsoft-talk-artificial-intelligence/
https://en.wikipedia.org/wiki/Artificial_intelligence
https://www.microsoft.com/en-us/research/project/video-games-and-artificial-intelligence/
https://github.com/jobbole/awesome-dotnet-cn
AIMLBot智能机器人在实时虚拟参考咨询中的应用
http://www.infotech.ac.cn/CN/abstract/abstract3608.shtml
http://www.pandorabots.com/pandora/pics/wallaceaimltutorial.html3
http://www.alicebot.org/downloads/sets.html
http://www.alicebot.org/TR/2005/WD-aiml/WD-aiml-1.0.1-008.html
# -*- coding: utf8 -*- #Python 3.4 https://docs.python.org/3.4/library/ import atexit import os import unicodedata import sys import time import unicodedata import winsound import code import codecs print ("hello word"); print (sys.platform); print (2 ** 100); #输入 try: input = raw_input except NameError: pass print("Hi " + input("Say something: ")); #中文 #sys.stdout = io.TextIOWrapper(sys.stdout.buffer, errors = 'replace', line_buffering = True) #try: # reload(sys) # sys.setdefaultencoding('utf-8') #except: # pass
分布式: RabbitMQ
https://janus.conf.meetecho.com/docs/rest.html
http://spring.io/guides/gs/messaging-rabbitmq/
http://www.rabbitmq.com/dotnet.html
https://github.com/rabbitmq/rabbitmq-dotnet-client
http://spring.io/guides
https://github.com/EasyNetQ/EasyNetQ.Management.Client
https://github.com/tenor/RestBus
https://www.rabbitmq.com/dotnet-api-guide.html
https://www.codeproject.com/articles/1037532/net-scala-interop-using-rabbitmq
https://github.com/sachabarber/ScalaToDotNetInteropUsingRabbitMq