An open-source deep learning framework developed by Google that provides a comprehensive ecosystem for building and deploying AI models.
1
PyTorch
A popular deep learning library that offers dynamic computation graphs and extensive support for neural networks, making it widely used in research and industry.
2
Keras
A high-level neural networks API that is built on top of TensorFlow, providing a user-friendly interface for designing and training deep learning models.
3
scikit-learn
A machine learning library in Python that offers a wide range of algorithms and tools for tasks such as classification, regression, clustering, and dimensionality reduction.
4
IBM Watson
IBM's AI platform that provides a suite of tools and services for developing and deploying AI applications, including natural language processing, computer vision, and predictive analytics.
5
Azure Cognitive Services
Cloud-based AI services provided by Microsoft, offering pre-built models and APIs for tasks such as speech recognition, language understanding, and image recognition.
6
Google Cloud AI Platform
A cloud-based platform by Google that allows developers to build, deploy, and manage machine learning models, with support for TensorFlow and other popular frameworks.
7
H2O.ai
An open-source machine learning platform that provides a range of algorithms and tools for data analysis and model development, with a focus on scalability and ease of use.
8
Amazon SageMaker
A fully-managed machine learning service offered by Amazon Web Services (AWS) that enables developers to build, train, and deploy ML models at scale.
A state-of-the-art language model developed by OpenAI that uses deep learning techniques to generate human-like text, capable of performing tasks such as translation and text generation.