top 10 AI based software engineering solutions | by ARGUS | Jan, 2024

TensorFlow:TensorFlow is an open-source machine studying framework developed by Google. It is broadly used for varied AI functions, together with deep studying and neural networks.2. PyTorch:PyTorch is one other fashionable open-source deep studying framework. It is understood for its dynamic computation graph, making it extra intuitive for researchers and builders.3. Scikit-learn:Scikit-learn is a machine studying library for Python that gives easy and environment friendly instruments for knowledge evaluation and modeling. It contains varied algorithms for classification, regression, clustering, and extra.4. Jupyter Notebooks:Jupyter Notebooks are an open-source internet utility that permits you to create and share paperwork that include stay code, equations, visualizations, and narrative textual content. They are broadly utilized in AI improvement for interactive and collaborative work.5. Keras:Keras is a high-level neural networks API written in Python. It can run on top of TensorFlow, Theano, or Microsoft Cognitive (*10*). Keras simplifies the method of constructing and experimenting with deep studying fashions.6. IBM Watson Studio:IBM Watson Studio is a complete platform for AI and knowledge science. It provides instruments for knowledge preparation, mannequin improvement, and deployment. It helps varied languages and frameworks.7. Microsoft Azure Machine Learning:Azure Machine Learning is a cloud-based service by Microsoft that gives instruments for constructing, coaching, and deploying machine studying fashions. It helps fashionable frameworks like TensorFlow and PyTorch.8. GitLab Auto DevOps:GitLab Auto DevOps incorporates CI/CD (Continuous Integration/Continuous Deployment) practices with built-in automation. While not solely AI-based, it leverages automation to streamline the software improvement lifecycle.9. Amazon SageMaker:SageMaker is a completely managed service by Amazon Web Services (AWS) that allows builders to construct, practice, and deploy machine studying fashions at scale. It simplifies the machine studying workflow.10. DeepCode:DeepCode makes use of machine studying to research code and supply ideas for enhancements, bug fixes, and safety vulnerabilities. It assists builders in writing cleaner and extra environment friendly code.

Recommended For You