Top 5 AI tools and Trendings AI Tools.

1.TensorFlow: Developed by Google, TensorFlow is an open-source software library for dataflow and differentiable programming across a range of tasks. It is widely used for building and training deep learning models for image and speech recognition, natural language processing, and more.

2. PyTorch: PyTorch is an open-source machine learning library that provides developers with high-level APIs to build and train deep learning models. It is particularly popular in the research community due to its dynamic computational graph and easy-to-use interface.

3. Keras: Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano. It is designed to enable fast experimentation with deep neural networks and is known for its user-friendliness and ease of use.

4. Scikit-learn: Scikit-learn is a popular machine learning library in Python that provides a range of supervised and unsupervised learning algorithms for tasks such as classification, regression, clustering, and dimensionality reduction. It is particularly useful for data preprocessing and model evaluation.

5. H2O.ai: H2O.ai is a popular open-source machine learning platform that provides a range of tools for data scientists and developers to build and deploy machine learning models. It offers a range of algorithms for supervised and unsupervised learning, deep learning, and automatic machine learning

Top 3 trending AI Tools

OpenAI GPT-3: GPT-3 (Generative Pre-trained Transformer 3) is an autoregressive language model that uses deep learning to produce human-like text. It has gained popularity for its ability to generate coherent, high-quality text across a wide range of tasks, including translation, summarization, and even creative writing.

Amazon SageMaker: SageMaker is a fully-managed service that provides developers and data scientists with tools for building, training, and deploying machine learning models at scale. It includes pre-built algorithms and frameworks, as well as support for custom models and data preprocessing. SageMaker has gained popularity for its ease of use and scalability.

3.FastAPI: FastAPI is a Python web framework for building APIs with high performance and easy-to-use features. It has gained popularity for its fast development cycle and built-in support for machine learning models, making it a great tool for deploying AI models as APIs.