Blog_Banner_Asset
    Homebreadcumb forward arrow iconBlogbreadcumb forward arrow iconArtificial Intelligencebreadcumb forward arrow iconTop 10 Artificial Intelligence Tools & Frameworks

Top 10 Artificial Intelligence Tools & Frameworks

Last updated:
9th Sep, 2019
Views
Read Time
4 Mins
share image icon
In this article
Chevron in toc
View All
Top 10 Artificial Intelligence Tools & Frameworks

The rise of Artificial Intelligence has helped simplify the world around us. No longer a subject matter of science fiction, AI is the truth behind the digital revolution of the 21st century. While AI applications have found their place across various industrial sectors, it has also given rise to the number of AI tools and frameworks. Just as AI applications help simplify our lives, AI tools and frameworks help simplify the task of a developer.

Top Machine Learning and AI Courses Online

For every budding aspirant seeking to make it big in the AI domain, the question that inevitably comes to mind is –

“What are the best frameworks and tools for Artificial Intelligence?”

Ads of upGrad blog

artificial intelligence tools

To end this dilemma, we have compiled a list of the best tools and frameworks for Artificial Intelligence. Here goes!

  1. Scikit-learn

Scikit-learn is an open-source, Python-based ML library that was developed in 2007. It is built on two of Python’s most widely-used libraries – NumPy and SciPy. It includes a host of administered and unsupervised learning calculations for standard AI and data mining functions (for example, bunching, relapse, order, choice trees, k-implies, etc.). Scikit-learn is excellent for dealing with AI computations, data analysis, and data mining.

  1. TensorFlow

TensorFlow is an open-source software library developed by Google Brain. It is the perfect tool for handling high-volume, complex numerical computations. TensorFlow features a multi-layered arrangement of hubs that allow developers to promptly set up, train, and send counterfeit neural systems with massive datasets. It is used by tech giants like Intel, Google, SAP, and Nvidia.

  1. Keras

Keras is a Python-based library framework that can run on top of other frameworks like TensorFlow or Theano. It is a handy tool for image recognition problems, network configuration for optimal results, and choosing the best-suited architecture for specific issues. Keras has a unique abstract feature that allows it to convert into other frameworks smoothly. 

Trending Machine Learning Skills

Enrol for the Machine Learning Course from the World’s top Universities. Earn Masters, Executive PGP, or Advanced Certificate Programs to fast-track your career.

  1. Theano

Theano is a Python library best suited for working with complex Mathematical expressions. It allows you to define, optimize, and evaluate math expressions comprising of multi-dimensional arrays. Theano is folded over the Keras library that runs almost parallelly and seamlessly with the Theano library. 

  1. OpenNN

OpenNN (Open Neural Networks Library) open-source library written in the C++. It is designed for Deep Learning and advanced ML research. OpenNN delivers optimal memory management and high processing speed. It comes with extensive documentation and unit testing features. As for data mining techniques, OpenNN implements them as a bundle of functions that can be embedded in other software tools through APIs. This enables the interaction between software tools and predictive analytics tasks. 

  1. H2O

H2O is an open-source ML software tool. It was designed by H2O.ai and is written in R, Java, and Python programming languages. It is mostly used by AI developers and researchers for predictive data analytics and to analyze cloud datasets in Apache Hadoop file systems. H2O can be a nifty tool for businesses as it can enable data-driven decision making.

  1. PyTorch

PyTorch is an open-source ML framework designed to expedite the journey from research prototyping to production deployment. Created by Facebook, PyTorch comes with brilliant features like TorchScript, Python-First, and Distributed Training. 

  1. Caffe

Caffe is a versatile ML framework that was created by the Berkeley Vision and Learning Center (BVLC) and community donors. Caffe’s expressive architecture encourages speed and innovation. It is an excellent choice for computer-vision tasks

  1. Google ML Kit

As the name suggests, Google ML Kit (beta) is Google’s ML SDK designed for mobile app development. It allows developers to build highly customized features on both Android and iOS platforms. This kit is equipped with video and image analysis APIs, NLP APIs, and the cutting-edge AutoML Vision Edge feature.

  1. Microsoft Cognitive Toolkit (CNTK)
Ads of upGrad blog

The Microsoft Cognitive Toolkit is an open-source toolkit for Deep Learning. It allows Developers to combine model types like feed-forward DNNs, convolutional nets (CNNs), and recurrent networks (RNNs/LSTMs). CNTK can either be used as a standalone ML tool through its unique model description language (BrainScript), or as a library in Python/C++/C# programs.

Popular AI and ML Blogs & Free Courses


At present, what we have seen AI do is merely the tip of the iceberg. With time, as the AI technology advances, so will these tools and frameworks. As ML and AI experts find better ways to utilize these tools, we may be looking forward to a radical transformation across all industries including healthcare, banking & finance, retail, IT, and other domains.

Profile

Kechit Goyal

Blog Author
Experienced Developer, Team Player and a Leader with a demonstrated history of working in startups. Strong engineering professional with a Bachelor of Technology (BTech) focused in Computer Science from Indian Institute of Technology, Delhi.
Get Free Consultation

Select Coursecaret down icon
Selectcaret down icon
By clicking 'Submit' you Agree to  
UpGrad's Terms & Conditions

Our Popular Machine Learning Course

Explore Free Courses

Suggested Blogs

Artificial Intelligence course fees
5204
Artificial intelligence (AI) was one of the most used words in 2023, which emphasizes how important and widespread this technology has become. If you
Read More

by venkatesh Rajanala

29 Feb 2024

Artificial Intelligence in Banking 2024: Examples & Challenges
5695
Introduction Millennials and their changing preferences have led to a wide-scale disruption of daily processes in many industries and a simultaneous g
Read More

by Pavan Vadapalli

27 Feb 2024

Top 9 Python Libraries for Machine Learning in 2024
75247
Machine learning is the most algorithm-intense field in computer science. Gone are those days when people had to code all algorithms for machine learn
Read More

by upGrad

19 Feb 2024

Top 15 IoT Interview Questions & Answers 2024 – For Beginners & Experienced
64235
These days, the minute you indulge in any technology-oriented discussion, interview questions on cloud computing come up in some form or the other. Th
Read More

by Kechit Goyal

19 Feb 2024

Data Preprocessing in Machine Learning: 7 Easy Steps To Follow
151369
Summary: In this article, you will learn about data preprocessing in Machine Learning: 7 easy steps to follow. Acquire the dataset Import all the cr
Read More

by Kechit Goyal

18 Feb 2024

Artificial Intelligence Salary in India [For Beginners & Experienced] in 2024
907983
Artificial Intelligence (AI) has been one of the hottest buzzwords in the tech sphere for quite some time now. As Data Science is advancing, both AI a
Read More

by upGrad

18 Feb 2024

24 Exciting IoT Project Ideas & Topics For Beginners 2024 [Latest]
755142
Summary: In this article, you will learn the 24 Exciting IoT Project Ideas & Topics. Take a glimpse at the project ideas listed below. Smart Agr
Read More

by Kechit Goyal

18 Feb 2024

Natural Language Processing (NLP) Projects & Topics For Beginners [2023]
106840
What are Natural Language Processing Projects? NLP project ideas advanced encompass various applications and research areas that leverage computation
Read More

by Pavan Vadapalli

17 Feb 2024

45+ Interesting Machine Learning Project Ideas For Beginners [2024]
326812
Summary: In this Article, you will learn Stock Prices Predictor Sports Predictor Develop A Sentiment Analyzer Enhance Healthcare Prepare ML Algorith
Read More

by Jaideep Khare

16 Feb 2024

Schedule 1:1 free counsellingTalk to Career Expert
icon
footer sticky close icon