What AI tools will be used?
AI tool list: Image processing and recognition: Photoshop, GIMP, Object Detection API, Face API Natural language processing: Google Translate, GPT-3, NLTK, spaCy Machine learning and prediction: TensorFlow, Scikit-learn, Keras, XGBoost data analysis: Power BI, Tableau, R, Pandas Computer vision: OpenCV, YOLO, FastAI, MATLAB Speech recognition and synthesis: Google Speech-to-Text, Amazon P Intelligence (AI) has become an important force driving various industries. This article will provide a comprehensive list of AI tools covering a wide range of application areas.
Image Processing and Recognition
Photoshop
: line of image editing and processing Industry StandardGIMP: Free and Open Source Photoshop Alternative
- Object Detection API
- : API to identify objects in images Face API
- : Detect and analyze faces in images
- Natural Language Processing
- Google Translate: Machine translation service
GPT-3: Artificial intelligence language model that generates human-like text
- Natural Language Toolkit (NLTK)
- : A Python library for natural language processing spaCy
- : Another Python library for natural language processing
- Machine Learning and Prediction
- TensorFlow: Google open source machine learning library
Scikit-learn: Python machine learning library
- Keras
- : High-level API for building neural networks BI
- : Microsoft data visualization and analysis platform Tableau
- : Popular data visualization and analysis software R
- : Statistical programming language and Environment Python Pandas
Computer Vision
- OpenCV
- : Computer vision library for image processing and analysis YOLO
- : Real-time target detection algorithm Method FastAI
- : Deep learning framework, focusing on computer vision MATLAB
Speech recognition and synthesis
- Google Speech-to-Text
- : Speech Recognition API Amazon Polly
- : speech synthesis service Kaldi
- : open source speech recognition toolkit WaveNet
Others
- IBM Watson: cognitive computing platform, providing a range of AI services
- Microsoft Azure Machine Learning: cloud-hosted machine learning service
- AWS SageMaker: Machine learning development and deployment platform provided by AWS
- BigQuery ML: Machine learning service on Google Cloud Platform
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