Dear All,
I found the following tools recommended by Chat GPT for the AI Program Development
TensorFlow: an open-source platform for developing and training machine learning models.
Keras: a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano.
PyTorch: an open-source machine learning framework that accelerates the path from research prototyping to production deployment.
Scikit-learn: a free software machine learning library for the Python programming language.
Apache Mahout: a free, distributed linear algebra framework and mathematically expressive Scala DSL.
H2O.ai: an open-source platform that makes it easy to build, deploy, and operate machine learning models in production.
RapidMiner: a data science platform that provides an integrated environment for building machine learning models.
DataRobot: an automated machine learning platform that enables organizations to build and deploy highly accurate machine learning models.
BigDL: a distributed deep learning library for Apache Spark that enables efficient training of very large models.
MLflow: an open-source platform for managing the end-to-end machine learning lifecycle.
Weka: a collection of machine learning algorithms for data mining tasks.
Orange: an open-source data visualization and analysis tool for machine learning.
KNIME: a free, open-source platform for data science that enables easy integration of various tools and workflows.
Google Cloud AutoML: a suite of machine learning products that enables organizations to build and deploy custom models with minimal coding.
IBM Watson Studio: a cloud-based integrated development environment (IDE) for building and deploying machine learning models.
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