1. TensorFlow
TensorFlow is an open-source software library for data analysis and machine learning. It was originally developed by Google Brain team members for internal Google use. TensorFlow is a powerful tool for deep learning and other types of machine learning.
2. Keras
Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano. It was developed with a focus on enabling fast experimentation. Being able to go from idea to result with the least possible delay is key to doing good research.
3. Scikit-learn
Scikit-learn is a free machine learning library for the Python programming language. It features various classification, regression and clustering algorithms including support vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy.
4. Natural Language Toolkit (NLTK)
The Natural Language Toolkit, or more commonly NLTK, is a suite of libraries and programs for symbolic and statistical natural language processing (NLP) for English written in the Python programming language.
5. Microsoft Cognitive Toolkit (CNTK)
Microsoft Cognitive Toolkit, or CNTK, is a commercial-grade open-source library for deep learning developed by Microsoft. It describes neural networks as a series of computational steps via a directed graph. Nodes in the graph represent mathematical operations, while the edges represent the multidimensional data arrays (tensors) communicated between them.
6. SpaceX Dragon
Dragon is a free-flying spacecraft designed to deliver both cargo and people to orbiting destinations. Dragon made history in 2012 when it became the first commercial spacecraft to deliver cargo to and from the International Space Station (ISS).
7. OpenAI Dota 2
Dota 2 is a free-to-play multiplayer online battle arena (MOBA) video game developed and published by Valve Corporation. The game is the stand-alone sequel to Defense of the Ancients (DotA), which was a community-created mod for Blizzard Entertainment's Warcraft III: Reign of Chaos and its expansion pack, The Frozen Throne.
8. IBM Watson
Watson is a computer system capable of answering questions posed in natural language, developed in IBM's DeepQA project by a research team led by principal investigator David Ferrucci. Watson was named after IBM's founder and first CEO, industrialist Thomas J. Watson.
9. Amazon SageMaker
Amazon SageMaker is a fully-managed machine learning service. With SageMaker, data scientists and developers can quickly and easily build and train machine learning models, and then directly deploy them into a production-ready hosted environment.
10. Microsoft Azure Cognitive Services
Azure Cognitive Services is a set of intelligence services that enable developers to create applications that can see, hear, speak, understand, and interpret human needs using natural methods of communication.
11. Google Cloud ML Engine
Google Cloud ML Engine is a managed service that enables developers to easily build and deploy machine learning models. Cloud ML Engine offers training and prediction services, which can be used together or separately.
12. H2O
H2O is an open source, in-memory, distributed, fast, and scalable machine learning and predictive analytics platform that makes it easy to build and deploy machine learning models. H2O supports the most widely used statistical and machine learning algorithms including gradient boosted machines, random forests, deep learning, and many more.
13. Apache Spark
Apache Spark is an open source, distributed processing framework that supports in-memory computing and efficient fault-tolerant processing. Spark can be used for a wide range of workloads, including batch processing, interactive queries, and stream processing.
14. NVIDIA Deep Learning AI
The NVIDIA Deep Learning AI platform is a comprehensive set of software tools and hardware platforms that enable developers to quickly and easily build, train, and deploy deep learning models. The platform includes the NVIDIA DIGITS application, the CUDA Deep Neural Network library (cuDNN), and the TensorRT inference accelerator.
15. Caffe2
Caffe2 is a deep learning framework that enables developers to easily express and optimize models for a variety of devices, from mobile to datacenter. Caffe2's model zoo contains a number of pre-trained models that can be used for a variety of tasks, such as image classification, object detection, and speech recognition.
16. IBM Watson Developer Cloud
The IBM Watson Developer Cloud is a set of tools and services that allow developers to easily build and deploy cognitive applications. The Watson Developer Cloud includes the Watson Conversation service, which allows developers to build chatbots, and the Watson Visual Recognition service, which allows developers to easily add image recognition to their applications.
17. Infosys Nia
Infosys Nia is an artificial intelligence platform that enables developers to easily build and deploy cognitive applications. Nia is based on Infosys' extensive experience in AI and machine learning, and offers a variety of services that allow developers to easily build and deploy cognitive applications.
18. Wipro Holmes
Wipro Holmes is a cognitive platform that enables developers to easily build and deploy cognitive applications. Holmes is based on Wipro's extensive experience in AI and machine learning, and offers a variety of services that allow developers to easily build and deploy cognitive applications.
19. Accenture Cognitive Services
Accenture Cognitive Services is a set of tools and services that allow developers to easily build and deploy cognitive applications. Accenture Cognitive Services is based on Accenture's extensive experience in AI and machine learning, and offers a variety of services that allow developers to easily build and deploy cognitive applications.
20. HCL cognitive computing
HCL cognitive computing is a set of tools and services that allow developers to easily build and deploy cognitive applications. HCL cognitive computing is based on HCL's extensive experience in AI and machine learning, and offers a variety of services that allow developers to easily build and deploy cognitive applications.
21. Perspective API
Perspective is an API that uses machine learning algorithms to score the potential impact of online comments. Comments are scored based on the likelihood that they may be perceived as "toxic" by other users. The Perspective API is designed to help developers build applications that can identify and filter out toxic comments.
22. Dialogflow
Dialogflow is a natural language understanding platform that makes it easy for developers to design and integrate conversational user interfaces into applications. Dialogflow is used by millions of users, and powers applications in a variety of industries, including customer service, e-commerce, and gaming.
23. Wit.ai
Wit.ai is a natural language processing platform that makes it easy for developers to design and integrate conversational user interfaces into applications. Wit.ai is used by millions of users, and powers applications in a variety of industries, including customer service, e-commerce, and gaming.
24. Language Understanding Intelligent Service (LUIS)
LUIS is a natural language processing platform that makes it easy for developers to design and integrate conversational user interfaces into applications. LUIS is used by millions of users, and powers applications in a variety of industries, including customer service, e-commerce, and gaming.
25. API.ai
API.ai is a natural language processing platform that makes it easy for developers to design and integrate conversational user interfaces into applications. API.ai is used by millions of users, and powers applications in a variety of industries, including customer service, e-commerce, and gaming.
26. IBM Watson Natural Language Understanding
IBM Watson Natural Language Understanding is a natural language processing platform that makes it easy for developers to design and integrate conversational user interfaces into applications. Watson Natural Language Understanding is used by millions of users, and powers applications in a variety of industries, including customer service, e-commerce, and gaming.
27. Google Cloud Natural Language
Google Cloud Natural Language is a natural language processing platform that makes it easy for developers to design and integrate conversational user interfaces into applications. Cloud Natural Language is used by millions of users, and powers applications in a variety of industries, including customer service, e-commerce, and gaming.
28. Microsoft Azure Text Analytics
Microsoft Azure Text Analytics is a natural language processing platform that makes it easy for developers to design and integrate conversational user interfaces into applications. Azure Text Analytics is used by millions of users, and powers applications in a variety of industries, including customer service, e-commerce, and gaming.
29. Amazon Lex
Amazon Lex is a natural language processing platform that makes it easy for developers to design and integrate conversational user interfaces into applications. Lex is used by millions of users, and powers applications in a variety of industries, including customer service, e-commerce, and gaming.
30. SAP Leonardo Machine Learning
SAP Leonardo Machine Learning is a natural language processing platform that makes it easy for developers to design and integrate conversational user interfaces into applications. Leonardo Machine Learning is used by millions of users, and powers applications in a variety of industries, including customer service, e-commerce, and gaming.
31. IBM Watson Tone Analyzer
IBM Watson Tone Analyzer is a natural language processing platform that makes it easy for developers to design and integrate conversational user interfaces into applications. Tone Analyzer is used by millions of users, and powers applications in a variety of industries, including customer service, e-commerce, and gaming.
32. Google Cloud Vision
Google Cloud Vision is a computer vision platform that makes it easy for developers to design and integrate image recognition into applications. Cloud Vision is used by millions of users, and powers applications in a variety of industries, including customer service, e-commerce, and gaming.
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