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✍️ Ai批改: Here's a comprehensive list of AI software across various categories:

Artificial Intelligence (AI) Platforms:

1、Google Cloud AI Platform: A managed platform for building, deploying, and managing machine learning models.
2、Microsoft Azure Machine Learning: A cloud-based platform for building, training, and deploying machine learning models.
3、IBM Watson Studio: A cloud-based platform for building, training, and deploying machine learning models.
4、Amazon SageMaker: A fully managed service for building, training, and deploying machine learning models.

Machine Learning Frameworks:

1、TensorFlow: An open-source machine learning framework developed by Google.
2、PyTorch: An open-source machine learning framework developed by Facebook.
3、Keras: A high-level neural networks API for deep learning.
4、Scikit-learn: An open-source machine learning library for Python.

Natural Language Processing (NLP) Tools:

1、NLTK (Natural Language Toolkit): A popular Python library for NLP tasks.
2、spaCy: A modern NLP library for Python and Cython.
3、Stanford CoreNLP: A Java library for NLP tasks.
4、IBM Watson Natural Language Understanding: A cloud-based NLP service.

Computer Vision Tools:

1、OpenCV: A computer vision library with a wide range of functions for image and video processing.
2、TensorFlow Object Detection API: A framework for object detection tasks.
3、PyTorch Vision: A library for computer vision tasks.
4、Amazon Rekognition: A cloud-based computer vision service.

Chatbots and Virtual Assistants:

1、Dialogflow: A Google-owned platform for building conversational interfaces.
2、Microsoft Bot Framework: A set of tools for building conversational AI interfaces.
3、Rasa: An open-source conversational AI platform.
4、ManyChat: A platform for building chatbots for messaging platforms.

Speech Recognition and Synthesis:

1、Google Cloud Speech-to-Text: A cloud-based speech recognition service.
2、Amazon Transcribe: A cloud-based speech recognition service.
3、Microsoft Azure Speech Services: A cloud-based speech recognition and synthesis service.
4、eSpeak: An open-source text-to-speech system.

Robotics and Autonomous Systems:

1、ROS (Robot Operating System): An open-source software framework for robotics.
2、OpenCV: Also used for robotics and computer vision tasks.
3、PyTorch Robotics: A library for robotics and autonomous systems.

Deep Learning Tools:

1、DeepLearning4j: A deep learning library for Java and Scala.
2、Caffe: A deep learning framework for computer vision tasks.
3、Theano: A Python library for deep learning.
4、Torch: A scientific computing library with a focus on deep learning.

AI-powered Business Intelligence Tools:

1、Tableau: A data visualization and business intelligence platform with AI-powered features.
2、Power BI: A business analytics service by Microsoft with AI-powered features.
3、Google Data Studio: A free tool for creating interactive, web-based data visualizations.

AI Development Environments:

1、Jupyter Notebook: A web-based interactive environment for working with AI and data science projects.
2、Google Colab: A cloud-based environment for data science and AI development.
3、Apache Zeppelin: A web-based notebook for data science and AI development.

Other Notable AI Software:

1、Weka: A popular data mining and machine learning software.
2、RapidMiner: A data science platform with AI-powered features.
3、KNIME: An open-source data analytics platform with AI-powered features.

This is not an exhaustive list, and new AI software and tools are emerging rapidly、However, this should give you a good starting point to explore the various AI software available.

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