1. TensorFlow: An open-source machine learning framework by Google.
Website: https://www.tensorflow.org/
2. Keras: A high-level neural networks API written in Python.
Website: https://keras.io/
3. PyTorch: An open-source machine learning framework developed by Facebook.
Website: https://pytorch.org/
4. scikit-learn: A popular machine learning library for Python.
Website: https://scikit-learn.org/
5. NumPy: A fundamental package for scientific computing with Python.
Website: https://numpy.org/
6. Pandas: A powerful data analysis and manipulation library for Python.
Website: https://pandas.pydata.org/
7. OpenCV: A library for computer vision and image processing.
Website: https://opencv.org/
8. Jupyter Notebook: An open-source web application for creating and sharing documents containing live code, equations, visualizations, and narrative text.
Website: https://jupyter.org/
9. H2O.ai: An open-source platform for machine learning and artificial intelligence.
Website: https://www.h2o.ai/
10. Apache Mahout: A scalable machine learning library built on Apache Hadoop.
Website: https://mahout.apache.org/
11. Caffe: A deep learning framework developed by Berkeley AI Research (BAIR).
Website: https://caffe.berkeleyvision.org/
12. Theano: A Python library for efficient numerical computation, particularly suited for deep learning.
Website: http://www.deeplearning.net/software/theano/
13. Microsoft Cognitive Toolkit (CNTK): A deep learning framework developed by Microsoft Research.
Website: https://www.microsoft.com/en-us/cognitive-toolkit/
14. KNIME: A platform for data analysis, blending, and modeling.
Website: https://www.knime.com/
15. RapidMiner: An integrated environment for machine learning, data mining, text mining, predictive analytics, and business analytics.
Website: https://rapidminer.com/
16. Orange: An open-source data visualization and analysis tool.
Website: https://orange.biolab.si/
17. Google Cloud AutoML: A suite of machine learning products offered by Google Cloud.
Website: https://cloud.google.com/automl
18. IBM Watson Studio: A cloud-based platform for data science and AI.
Website: https://www.ibm.com/cloud/watson-studio
19. Amazon SageMaker: A fully managed machine learning service provided by Amazon Web Services (AWS).
Website: https://aws.amazon.com/sagemaker/
20. Microsoft Azure Machine Learning: A cloud-based platform for developing, training, and deploying machine learning models.
Website: https://azure.microsoft.com/en-us/services/machine-learning/
21. DataRobot: An automated machine learning platform.
Website: https://www.datarobot.com/
22. Google Cloud AI Platform: A platform that allows you to build, test, and deploy machine learning models on Google Cloud.
Website: https://cloud.google.com/ai-platform
23. DeepMind: A research company that focuses on artificial intelligence.
Website: https://deepmind.com/
24. AllenNLP: An open-source library for natural language processing research.
Website: https://allennlp.org/
25. spaCy: An open-source library for natural language processing in Python.
Website: https://spacy.io/
26. Wit.ai: A natural language processing platform by Facebook.
Website: https://wit.ai/
27. TensorFlow.js: A JavaScript library for training and deploying machine learning models in the browser
and on Node.js.
Website: https://www.tensorflow.org/js
28. Google Cloud Vision API: A cloud-based image recognition service provided by Google Cloud.
Website: https://cloud.google.com/vision
29. IBM Watson Natural Language Understanding: A service that uses natural language processing to analyze text and extract insights.
Website: https://www.ibm.com/cloud/watson-natural-language-understanding
30. Microsoft Azure Cognitive Services: A collection of AI services provided by Microsoft Azure, including language, vision, speech, and knowledge capabilities.
Website: https://azure.microsoft.com/en-us/services/cognitive-services/
31. Google Cloud Translation API: A cloud-based machine translation service provided by Google Cloud.
Website: https://cloud.google.com/translate
32. OpenAI GPT-3: A powerful language model developed by OpenAI.
Website: https://openai.com/
33. PyCaret: A low-code machine learning library in Python.
Website: https://pycaret.org/
34. Hugging Face Transformers: A Python library for state-of-the-art natural language processing.
Website: https://huggingface.co/transformers/
35. Weka: A collection of machine learning algorithms and tools for data mining tasks.
Website: https://www.cs.waikato.ac.nz/ml/weka/
Please note that while these tools offer free versions, some may also have paid plans or enterprise options with additional features and support.
