Artificial intelligence (AI) technologies are quickly transforming almost every sphere of our lives. AI is disrupting every field from how we communicate to performing diseases in science and healthcare sectors.
Its no wonder everyone is jumping on to the wagon. Because of these rapid advancements, massive amounts of talent and resources are dedicated to accelerating the growth of the technologies.
So if you want to take a bite at it for your machine learning project, there are free resources available. Look no further, I have consolidated them for you here.
IBM Watson is a free, open-source AI software that provides authority to the companies to speed up the research and discovery, calculate disruptions, and improve interactions. Several businesses are taking advantage of this software to study their data, gather intellectual property, insights, and predict their future performance easily. By using the cloud-based IBM platform, organizations can make more informed decisions.
Keras
Keras is known for its user-friendliness, modularity, and ease of extensibility. It is suitable if you need a machine learning library that allows for easy and fast prototyping, supports both convolutional and recurrent networks, and runs optimally on both CPUs (central processing units) and GPUs (graphics processing units).
Microsoft Cognitive Toolkit
Microsoft says that the open source framework is capable of "training deep learning algorithms to function like the human brain."
Some of the vital features of the Microsoft Cognitive Toolkit include highly optimized components capable of handling data from Python, C++, or BrainScript, ability to provide efficient resource usage, ease of integration with Microsoft Azure, and interoperation with NumPy.
Theano
Theano is capable of taking your structures and transforming them into very efficient code that integrates with NumPy, efficient native libraries such as BLAS, and native code (C++).
Furthermore, it is optimized for GPUs, provides efficient symbolic differentiation, and comes with extensive code-testing capabilities.
Apache Mahout
Apache Mahout is a distributed framework that efficiently handles the processing of the data. You can proficiently use this free AI tool for data mining in conjunction with Hadoop. Facebook, Foursquare, Twitter, LinkedIn, and Yahoo are all massive corporations that make use of this software for data mining.
Amazon and Facebook make use of recommender engines, also known as collaborative filtering to attract users and offer products by mining user behavior. In one place, this open-source artificial intelligence software groups objects of similar nature by making use of the clustering feature. Summly is a Google app that shows the news from different news sites.
Caffe
Created by not for profit organization and supported by grants from Nvidia and Amazon. Caffe can process over 60 million images per day with a single NVIDIA GPU.
Armadillo
Useful for machine learning, pattern recognition, signal processing, bioinformatics, statistics, finance, etc.
Fast C++ library for linear algebra (matrix maths) and scientific computing * Easy to use functions and syntax, deliberately similar to Matlab * Uses template meta-programming techniques * Provides efficient wrappers for LAPACK, BLAS, ATLAS, ARPACK and SuperLU libraries, including high-performance versions such as OpenBLAS and Intel MKL.
While there may certainly be other deep learning frameworks out there, this list is not meant to be exhaustive. I simply wanted to give you a list of AI software tools and frameworks that you can feel confident running with and cost you absolutely nothing to download and start playing with. If you need any help with your AI project, please feel free to contact us at PsiberTech Solutions. Have a great day!
Here is a list of 8 Free AI Technologies for your Machine Learning Project
Tensorflow
Created by Google for supporting its research and production objectives, TensorFlow is now widely used by several companies, including Dropbox, eBay, Intel, Twitter, and Uber.
TensorFlow is available in Python, C++, Haskell, Java, Go, Rust, and most recently, JavaScript. You can also find third-party packages for other programming languages.
The framework allows you to develop neural networks (and even other computational models) using flowgraphs.
IBM Watson
TensorFlow is available in Python, C++, Haskell, Java, Go, Rust, and most recently, JavaScript. You can also find third-party packages for other programming languages.
The framework allows you to develop neural networks (and even other computational models) using flowgraphs.
IBM Watson
IBM Watson is a free, open-source AI software that provides authority to the companies to speed up the research and discovery, calculate disruptions, and improve interactions. Several businesses are taking advantage of this software to study their data, gather intellectual property, insights, and predict their future performance easily. By using the cloud-based IBM platform, organizations can make more informed decisions.
Keras
Keras is known for its user-friendliness, modularity, and ease of extensibility. It is suitable if you need a machine learning library that allows for easy and fast prototyping, supports both convolutional and recurrent networks, and runs optimally on both CPUs (central processing units) and GPUs (graphics processing units).
Microsoft Cognitive Toolkit
Microsoft says that the open source framework is capable of "training deep learning algorithms to function like the human brain."
Some of the vital features of the Microsoft Cognitive Toolkit include highly optimized components capable of handling data from Python, C++, or BrainScript, ability to provide efficient resource usage, ease of integration with Microsoft Azure, and interoperation with NumPy.
Theano
Theano is capable of taking your structures and transforming them into very efficient code that integrates with NumPy, efficient native libraries such as BLAS, and native code (C++).
Furthermore, it is optimized for GPUs, provides efficient symbolic differentiation, and comes with extensive code-testing capabilities.
Apache Mahout
Amazon and Facebook make use of recommender engines, also known as collaborative filtering to attract users and offer products by mining user behavior. In one place, this open-source artificial intelligence software groups objects of similar nature by making use of the clustering feature. Summly is a Google app that shows the news from different news sites.
Caffe
Created by not for profit organization and supported by grants from Nvidia and Amazon. Caffe can process over 60 million images per day with a single NVIDIA GPU.
Armadillo
Useful for machine learning, pattern recognition, signal processing, bioinformatics, statistics, finance, etc.
Fast C++ library for linear algebra (matrix maths) and scientific computing * Easy to use functions and syntax, deliberately similar to Matlab * Uses template meta-programming techniques * Provides efficient wrappers for LAPACK, BLAS, ATLAS, ARPACK and SuperLU libraries, including high-performance versions such as OpenBLAS and Intel MKL.
While there may certainly be other deep learning frameworks out there, this list is not meant to be exhaustive. I simply wanted to give you a list of AI software tools and frameworks that you can feel confident running with and cost you absolutely nothing to download and start playing with. If you need any help with your AI project, please feel free to contact us at PsiberTech Solutions. Have a great day!
Srivatsan Aravamudan - Sri
Senior Solution Consultant
Mail: srivatsan@psibertech.com.sg
Call: +65 62689551
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