AI Websites
General AI
OpenAI
OpenAI is a research company that aims to ensure that artificial general intelligence (AGI) benefits all of humanity.
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DeepMind
DeepMind is a leading artificial intelligence research organization that aims to push the boundaries of AI by creating advanced algorithms and technologies.
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NVIDIA
NVIDIA is a leading provider of AI hardware and software, offering powerful GPU-accelerated platforms for deep learning, machine learning, and AI development.
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IBM Watson
IBM Watson is a set of artificial intelligence services, software and APIs developed by IBM, it's a cloud-based platform that uses natural language processing and machine learning to reveal insights, engage with customers and improve operations.
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Amazon Web Services AI
Amazon Web Services offers a wide range of AI services, including machine learning, natural language processing, and computer vision.
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Microsoft Azure AI
Microsoft Azure offers a wide range of AI services, including machine learning, natural language processing, and computer vision.
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Google AI
Google AI is a division of Google that focuses on creating powerful AI technologies and tools, including TensorFlow, Google Cloud AI Platform and many more AI services.
Visit websiteBaidu
Baidu is a Chinese multinational technology company specializing in Internet-related services and products. They have a research division that focuses on AI and offers various AI services and products.
Tencent AI
Tencent AI is a Chinese multinational conglomerate holding company founded in 1998, whose subsidiaries specialize in various Internet-related services and products, entertainment, artificial intelligence (AI) and technology both in China and globally.
Alibaba Cloud
Alibaba Cloud is a division of Alibaba Group that provides a comprehensive suite of global cloud computing services to power both their international customers’ online businesses and Alibaba Group’s own e-commerce ecosystem. It offers various AI services and solutions for different industries.
Machine Learning
TensorFlow
TensorFlow is an open-source machine learning framework developed by Google Brain Team. It provides a flexible platform for building, deploying, and experimenting with machine learning models.
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PyTorch
PyTorch is an open-source machine learning library based on the Torch library, and it provides a flexible platform for building, deploying, and experimenting with machine learning models.
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scikit-learn
scikit-learn is an open-source machine learning library for Python that provides simple and efficient tools for data mining and data analysis.
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Keras
Keras is an open-source neural network library written in Python. It is capable of running on top of TensorFlow, Microsoft Cognitive Toolkit, Theano and more.
Theano
Theano is an open-source numerical computation library for Python that allows developers to efficiently define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays.
Caffe
Caffe is an open-source deep learning framework developed by the Berkeley Vision and Learning Center (BVLC) and by community contributors. It's a popular choice for image classification, convolutional neural networks, and other computer vision tasks.
Torch
Torch is an open-source machine learning library and scientific computing framework based on the Lua programming language. It provides a wide range of algorithms and tools for machine learning, computer vision, and signal processing.
CNTK
CNTK (Microsoft Cognitive Toolkit) is an open-source deep learning framework developed by Microsoft Research. It's designed to be efficient and flexible for a wide range of AI tasks, including image and speech recognition, natural language processing, and more
Chainer
Chainer is an open-source deep learning framework developed by Preferred Networks in Japan. It's designed to be flexible and intuitive for building complex neural networks.
MXNet
MXNet is an open-source deep learning framework developed by the MXNet community. It's designed to be highly scalable and efficient for a wide range of AI tasks, including image and speech recognition, natural language processing, and more.
Natural Language Processing
NLTK
NLTK (Natural Language Toolkit) is an open-source library for Python that provides tools for natural language processing, including tokenization, stemming, and more.
CoreNLP
CCoreNLP (Stanford CoreNLP) is an open-source library for natural language processing developed by Stanford University. It provides a wide range of tools for text analysis, including tokenization, parsing, and sentiment analysis
spaCy
spaCy is an open-source library for natural language processing in Python. It's designed specifically for production use, and it's fast and efficient for tasks such as named entity recognition, part-of-speech tagging, and more.
Gensim
Gensim is an open-source library for topic modeling and natural language processing in Python. It's designed to be efficient and easy to use, and it provides tools for text preprocessing, topic modeling, and more.
TextBlob
TextBlob is an open-source library for natural language processing in Python. It provides a simple API for common natural language processing tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, and more.
Computer Vision
OpenCV
OpenCV is an open-source library for computer vision and machine learning in C++ and Python. It provides a wide range of tools for image and video processing, including object detection, image segmentation, and more.
SimpleCV
SimpleCV is an open-source library for computer vision in Python that makes it easy to get started with image processing and computer vision tasks.
scikit-image
scikit-image is an open-source image processing library for Python that provides a wide range of tools for image processing and analysis, including image segmentation, feature extraction, and more.
ITK
ITK (Insight Segmentation and Registration Toolkit) is an open-source library for image processing and analysis in C++ and Python. It provides a wide range of tools for image segmentation, registration, and more.
OpenNi
OpenNi is an open-source library for natural interaction with computers using depth-sensing cameras. It provides a framework for creating applications that use gestures, voice, or other body movements as input, making it a popular choice for natural user interfaces.