Top Open Source AI tools with their website link we must know about it

Here are the top opensource AI tools a developers must know about it

1. TensorFlow (https://www.tensorflow.org/) - an open-source software library for machine learning.
2. Keras (https://keras.io/) - a high-level neural networks API that runs on top of TensorFlow.
3. PyTorch (https://pytorch.org/) - an open-source machine learning library based on the Torch library.
4. Scikit-learn (https://scikit-learn.org/) - a machine learning library for Python that provides various tools for data analysis and modeling.
5. NLTK (https://www.nltk.org/) - a library for natural language processing in Python.
6. OpenCV (https://opencv.org/) - an open-source computer vision library that includes machine learning algorithms.
7. Gensim (https://radimrehurek.com/gensim/) - an open-source library for unsupervised topic modeling and natural language processing.
8. spaCy (https://spacy.io/) - an open-source library for natural language processing in Python.
9. OpenAI GPT-3 (https://openai.com/api/gpt-3/) - a state-of-the-art language model that can generate human-like text.
10. Hugging Face (https://huggingface.co/) - A platform that offers various pre-trained models for natural language processing tasks.
11. MATLAB (https://www.mathworks.com/products/matlab.html) - a proprietary software for mathematical computations and data analysis that includes machine learning and deep learning tools.
12. R (https://www.r-project.org/) - a programming language and environment for statistical computing and graphics that has a variety of machine learning libraries available.
13. Weka (https://www.cs.waikato.ac.nz/ml/weka/) - a collection of machine learning algorithms for data mining tasks, implemented in Java.
14. RapidMiner (https://rapidminer.com/) - a data science platform that includes machine learning and deep learning tools, as well as a visual workflow designer.
15. KNIME (https://www.knime.com/) - an open-source data integration, transformation, and analysis platform that includes machine learning and deep learning nodes.
16. Deeplearning4j (https://deeplearning4j.org/) - an open-source deep learning library for Java and Scala.
17. Caffe (http://caffe.berkeleyvision.org/) - an open-source deep learning framework developed at Berkeley that is particularly well-suited for image classification tasks.
18. Torch (https://pytorch.org/) - an open-source machine learning library for Lua that is often used for natural language processing and computer vision tasks.
19. Theano (http://deeplearning.net/software/theano/) - an open-source library for numerical computations that is particularly well-suited for deep learning tasks.
20. CNTK (https://docs.microsoft.com/en-us/cognitive-toolkit/) - an open-source deep learning library developed by Microsoft.
21. IBM Watson (https://www.ibm.com/watson) - A suite of AI services and tools offered by IBM, including natural language processing, computer vision, and machine learning.
22. Amazon SageMaker (https://aws.amazon.com/sagemaker/) - A fully-managed platform for machine learning on Amazon Web Services (AWS) that includes pre-built algorithms and tools for building, training, and deploying models.
23. Google Cloud ML Engine (https://cloud.google.com/ml-engine/) - A cloud-based platform for training and deploying machine learning models, provided by Google Cloud.
24. Microsoft Azure Machine Learning (https://azure.microsoft.com/en-us/services/machine-learning/) - A cloud-based platform for machine learning and data science on Microsoft Azure.
25. Alteryx (https://www.alteryx.com/) - A data science and analytics platform that includes machine learning tools for data preparation, modeling, and deployment.
26. DataRobot (https://www.datarobot.com/) - An automated machine learning platform that includes tools for data preparation, feature engineering, and model selection.
27. H2O.ai (https://www.h2o.ai/) - An open-source platform for machine learning and artificial intelligence that includes tools for data preparation, modeling, and deployment.
28. Big Panda (https://bigpanda.io/) - A machine learning platform that automates the process of feature engineering, model selection, and deployment.
29. Dataiku (https://www.dataiku.com/) - A collaborative data science platform that includes machine learning and deep learning tools, as well as a visual interface for building models.
30. KNIME (https://www.knime.com/) - An open-source data integration, transformation, and analysis platform that includes machine learning and deep learning nodes.