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[#]: collector: (lujun9972)
[#]: translator: (geekpi)
[#]: reviewer: ( )
[#]: publisher: ( )
[#]: url: ( )
[#]: subject: (7 Best Open Source Tools that will help in AI Technology)
[#]: via: (https://opensourceforu.com/2019/11/7-best-open-source-tools-that-will-help-in-ai-technology/)
[#]: author: (Nitin Garg https://opensourceforu.com/author/nitin-garg/)
7 Best Open Source Tools that will help in AI Technology
======
[![][1]][2]
_Artificial intelligence is an exceptional technology following the futuristic approach. In this progressive era, it’s capturing the attention of all the multination organizations. Some of the popular names in the industry like Google, IBM, Facebook, Amazon, Microsoft constantly investing in this new-age technology._
Anticipate in business needs using artificial intelligence and take research and development on another level. This advanced technology is becoming an integral part of organizations in research and development offering ultra-intelligent solutions. It helps you maintain accuracy and increase productivity with better results.
AI open source tools and technologies are capturing the attention of every industry providing with frequent and accurate results. These tools help you analyse your performance while providing you with a boost to generate greater revenue.
Without further ado, here we have listed some of the best open-source tools to help you understand artificial intelligence better.
**1\. TensorFlow**
TensorFlow is an open-source machine learning framework used for Artificial Intelligence. It is basically developed to conduct machine learning and deep learning for research and production. TensorFlow allows developers to create dataflow graphics structure, It moves through a network or a system node, and the graph provides a multidimensional array or tensor of data.
TensorFlow is an exceptional tool that offers countless advantages.
* Simplifies the numeric computation
* TensorFlow offers flexibility on multiple models.
* TensorFlow improves business efficiency
* Highly portable
* Automatic differentiate capabilities.
**2\. Apache SystemML**
Apache SystemML is a very popular open-source machine learning platform created by IBM offering a favourable workplace using big data. It can run efficiently and on Apache Spark and automatically scale your data while determining whether your code can run on the drive or Apache Spark Cluster. Not just that, its lucrative features make it stand out in the industry offers;
* Algorithms customization
* Multiple Execution Modes
* Automatic Optimisation
It also supports deep learning while enabling developers to implement machine learning code and optimizing it with more effectiveness.
**3\. OpenNN**
OpenNN is an open-source artificial intelligence neural network library for progressive analytics. It helps you develop robust models with C++ and Python while containing algorithms and utilities to deal with machine learning solutions likes forecasting and classification. It also covers regression and association providing high performance and technology evolution in the industry.
It possesses numerous lucrative features like;
* Digital Assistance
* Predictive Analysis
* Fast Performance
* Virtual Personal Assistance
* Speech Recognition
* Advanced Analytics
It helps you design advance solutions implementing data mining methods for fruitful results.
**4\. Caffe**
Caffe (Convolutional Architecture for Fast Feature Embedding) is an open-source deep learning framework. It considers speed, modularity, and expressions the most. Caffe was originally developed at the University of California, Berkeley Vision and Learning Centre, written in C++ with a python interface. It smoothly works on operating system Linux, macOS, and Windows.
Some of the key features of Caffe that helps in AI technology.
1. Expressive Architecture
2. Extensive Code
3. Large Community
4. Active Development
5. Speedy Performance
It helps you inspire innovation while introducing stimulated growth. Make full use of this tool to get desired results.
**5\. Torch**
Torch is an open-source machine learning library which, helps you simplify complex task like serialization, object-oriented programming by offering multiple convenient functions. It offers the utmost flexibility and speed in machine learning projects. Torch is written using scripting language Lua and comes with an underlying C implementation. It is used in multiple organization and research labs.
Torch has countless advantages like;
* Fast & Effective GPU Support
* Linear algebra Routines
* Support for iOS & Android Platform
* Numeric Optimization Routine
* N-dimensional arrays
**6\. Accord .NET**
Accord .NET is one of the renown free, open-source AI development tool. It has a set of libraries for combining audio and image processing libraries written in C#. From computer vision to computer audition, signal processing and statistics applications it helps you build everything for commercial use. It comes with a comprehensive set of the sample application for quick running and extensive range of libraries.
You can develop an advance app using Accord .NET using attention-grabbing features like;
* Statistical Analysis
* Data Ingestions
* Adaptive
* Deep Learning
* Second-order neural network learning algorithms
* Digital Assistance & Multi-languages
* Speech recognition
**7\. Scikit-Learn**
Scikit-learn is one of the popular open-source tools that will help in AI technology. It is a valuable library for machine learning in Python. It includes efficient tools like machine learning and statistical modelling including classification, clustering, regression and dimensionality reduction.
Let’s find out more about Scikit-Learn features;
* Cross-validation
* Clustering and Classification
* Manifold Learning
* Machine Learning
* Virtual process Automation
* Workflow Automation
From preprocessing to model selection Scikit-learn helps you take care of everything. It simplifies the complete task from data mining to data analysis.
**Final Thought**
These are some of the popular open-source AI tools which provide with the comprehensive range of features. Before developing the new-age application, one must select one of the tools and work accordingly. These tools provide with advanced Artificial Intelligence solutions keeping recent trends in mind.
Artificial intelligence is used globally and it’s marking its presence all around the world. With applications like Amazon Alexa, Siri, AI is providing customers with ultimate user experience. Its offering significant benefit in the industry capturing users attention. Among all the industries like healthcare, banking, finance, e-commerce artificial intelligence is contributing to growth and productivity while saving a lot of time and efforts.
Select any one of these open-source tools for better user experience and unbelievable results. It will help you grow and get a better result in terms of quality and security.
![Avatar][3]
[Nitin Garg][4]
The author is the CEO and co-founder of BR Softech – [Business intelligence software company][5]. Likes to share his opinions on IT industry via blogs. His interest is to write on the latest and advanced IT technologies which include IoT, VR & AR app development, web, and app development services. Along with this, he also offers consultancy services for RPA, Big Data and Cyber Security services.
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via: https://opensourceforu.com/2019/11/7-best-open-source-tools-that-will-help-in-ai-technology/
作者：[Nitin Garg][a]
选题：[lujun9972][b]
译者：[译者ID](https://github.com/译者ID)
校对：[校对者ID](https://github.com/校对者ID)
本文由 [LCTT](https://github.com/LCTT/TranslateProject) 原创编译，[Linux中国](https://linux.cn/) 荣誉推出
[a]: https://opensourceforu.com/author/nitin-garg/
[b]: https://github.com/lujun9972
[1]: https://i1.wp.com/opensourceforu.com/wp-content/uploads/2018/05/Artificial-Intelligence_EB-June-17.jpg?resize=696%2C464&ssl=1 (Artificial Intelligence_EB June 17)
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[3]: https://secure.gravatar.com/avatar/d4e6964b80590824b981f06a451aa9e6?s=100&r=g
[4]: https://opensourceforu.com/author/nitin-garg/
[5]: https://www.brsoftech.com/bi-consulting-services.html
[6]: https://opensourceforu.com/wp-content/uploads/2019/11/assoc.png
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[#]: collector: (lujun9972)
[#]: translator: (geekpi)
[#]: reviewer: ( )
[#]: publisher: ( )
[#]: url: ( )
[#]: subject: (7 Best Open Source Tools that will help in AI Technology)
[#]: via: (https://opensourceforu.com/2019/11/7-best-open-source-tools-that-will-help-in-ai-technology/)
[#]: author: (Nitin Garg https://opensourceforu.com/author/nitin-garg/)
7 个对 AI 技术有帮助的最佳开源工具
======
[![][1]][2]
_人工智能是一种紧跟未来道路的卓越技术。在这个进步的时代，它吸引了所有跨国组织的关注。谷歌、IBM、Facebook、亚马逊、微软等业内知名公司不断投资于这种新时代技术。_
利用人工智能预测业务需求，并在另一个层面上进行研发。这项先进技术正成为提供超智能解决方案的研发组织不可或缺的一部分。它可以帮助你保持准确性并以更好的结果提高生产率。
AI 开源工具和技术以频繁且准确的结果吸引了每个行业的关注。这些工具可帮助你分析性能，同时为你带来更大的收益。
事不宜迟，这里我们列出了一些最佳的开源工具，来帮助你更好地了解人工智能。
**1\. TensorFlow**
TensorFlow 是用于人工智能的开源机器学习框架。它主要是为了进行机器学习和深度学习的研究和生产而开发。TensorFlow 允许开发者创建数据流图形结构，它会在网络或系统节点中移动，图形提供数据的多维数组或张量。
TensorFlow 是一个出色的工具，它有无数的优势。
* 简化数值计算
  * TensorFlow 在多种模型上提供了灵活性。
  * TensorFlow 提高了业务效率
  * 高度可移植
  * 自动区分能力
**2\. Apache SystemML**
Apache SystemML 是由 IBM 创建的非常流行的开源机器学习平台，它提供了使用大数据的良好平台。它可以在 Apache Spark 上高效运行，并自动扩展数据，同时确定代码是否可以在磁盘或 Apache Spark 集群上运行。不仅如此，它丰富的功能使其在行业产品中脱颖而出；
* 算法定制
  * 多种执行模式
  * 自动优化
它还支持深度学习，让开发者更有效率地实现机器学习代码并优化。
**3\. OpenNN**
OpenNN 是用于渐进式分析的开源人工智能神经网络库。它可帮助你使用 C++ 和 Python 开发健壮的模型，它还包含用于处理机器学习解决方案（如预测和分类）的算法和程序。它还涵盖了回归和关联，可提供业界的高性能和技术演化。
它有丰富的功能，如：
* 数字化协助
  * 预测分析
  * 快速的性能
  * 虚拟个人协助
  * 语音识别
  * 高级分析
它可帮助你设计实现数据挖掘的先进方案，而从取得丰硕结果。
**4\. Caffe**
Caffe（快速特征嵌入的卷积结构）是一个开源深度学习框架。它优先考虑速度、模块化和表达式。Caffe 最初由加州大学伯克利分校视觉和学习中心开发，它使用 C++ 编写，带有一个 python 界面。能在 Linux、macOS 和 Windows 上正常运行。
Caffe 中的一些有助于 AI 技术的关键特性。
1. 具有表现力的结构
2. 具有扩展性的代码
3. 大型社区
4. 开发活跃
5. 性能快速
它可以帮助你激发创新，同时引入刺激性增长。充分利用此工具来获得所需的结果。
**5\. Torch**
Torch 是一个开源机器学习库，通过提供多种方便的功能，帮助你简化序列化、面向对象编程等复杂任务。它在机器学习项目中提供了最大的灵活性和速度。Torch 使用脚本语言 Lua 编写，底层使用 C 实现。它被用于多个组织和研究实验室中。
Torch 有无数的优势，如：
* 快速高效的 GPU 支持
* 线性代数子程序
* 支持 iOS 和 Android 平台
* 数值优化子程序
* N 维数组
**6\. Accord .NET**
Accord .NET 是著名的免费开源 AI 开发工具之一。它有一组库，用于组合用 C# 编写的音频和图像处理库。从计算机视觉到计算机听觉、信号处理和统计应用，它可以帮助你构建一切来用于商业用途。它附带了一套全面的示例应用来快速运行各类库。
你可以使用 Accord .NET 引人注意的功能开发一个高级应用，例如：
* 统计分析
* 数据接入
* 自适应
* 深度学习
* 二阶神经网络学习算法
* 数字协助和多语言
* 语音识别
**7\. Scikit-Learn**
Scikit-Learn 是流行的有助于 AI 技术的开源工具之一。它是 Python 中用于机器学习的一个很有价值的库。它包括机器学习和统计建模（包括分类、聚类、回归和降维）等高效工具。
让我们了解下 Scikit-Learn 的更多功能：
* 交叉验证
* 聚类和分类
* 流形学习
* 机器学习
* 虚拟流程自动化
* 工作流自动化
从预处理到模型选择，Scikit-learn 可帮助你处理所有问题。它简化了从数据挖掘到数据分析的所有任务。
**最后的想法**
这些是一些流行的开源 AI 工具，它们提供了全面的功能。在开发新时代应用之前，必须选择其中一个工具并做相应的工作。这些工具提供先进的人工智能解决方案，并紧跟最新趋势。
人工智能在全球范围内被应用，标志着它在世界各地的存在。借助 Amazon Alexa、Siri 等应用，AI 为客户提供了很好的用户体验。它在吸引用户关注的行业中具有显著优势。在医疗保健、银行、金融、电子商务等所有行业中，人工智能在促进增长和生产力的同时节省了大量的时间和精力。
选择这些开源工具中的任何一个，获得更好的用户体验和令人难以置信的结果。它将帮助你成长，并在质量和安全性方面获得更好的结果。
![Avatar][3]
[Nitin Garg][4]
作者是 BR Softech（一家商业智能软件公司） 的 CEO 兼联合创始人。喜欢通过博客分享他对 IT 行业的看法。他的兴趣是写最新的和先进的 IT 技术，包括物联网、VR 和 AR 应用开发，网络和应用开发服务。此外，他还为 RPA、大数据和网络安全服务提供咨询。
[![][6]][7]
--------------------------------------------------------------------------------
via: https://opensourceforu.com/2019/11/7-best-open-source-tools-that-will-help-in-ai-technology/
作者：[Nitin Garg][a]
选题：[lujun9972][b]
译者：[geekpi](https://github.com/geekpi)
校对：[校对者ID](https://github.com/校对者ID)
本文由 [LCTT](https://github.com/LCTT/TranslateProject) 原创编译，[Linux中国](https://linux.cn/) 荣誉推出
[a]: https://opensourceforu.com/author/nitin-garg/
[b]: https://github.com/lujun9972
[1]: https://i1.wp.com/opensourceforu.com/wp-content/uploads/2018/05/Artificial-Intelligence_EB-June-17.jpg?resize=696%2C464&ssl=1 (Artificial Intelligence_EB June 17)
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[3]: https://secure.gravatar.com/avatar/d4e6964b80590824b981f06a451aa9e6?s=100&r=g
[4]: https://opensourceforu.com/author/nitin-garg/
[5]: https://www.brsoftech.com/bi-consulting-services.html
[6]: https://opensourceforu.com/wp-content/uploads/2019/11/assoc.png
[7]: https://feedburner.google.com/fb/a/mailverify?uri=LinuxForYou&loc=en_US