FREE: Top 12 AI useful tools

Artificial intelligence has a wide range of applications in various industries, and there are many powerful tools available for developers and businesses to utilize. Here are the top 12 free AI tools that can be incredibly useful:

1. TensorFlow: An open-source machine learning framework developed by Google, TensorFlow is widely used for building deep learning models. It offers a flexible architecture and supports a variety of platforms.

2. PyTorch: Another popular deep learning library, PyTorch provides a dynamic computational graph and is known for its ease of use and flexibility. It is often preferred by researchers for prototyping new ideas.

3. Scikit-learn: A simple and efficient tool for data mining and data analysis, Scikit-learn offers a wide range of machine learning algorithms and is easy to use. It is great for beginners and experts alike.

4. IBM Watson Studio: A comprehensive platform for AI and data science, IBM Watson Studio provides tools for data preparation, model development, and deployment. It also offers pre-built models for various industries.

5. Microsoft Cognitive Toolkit (CNTK): Developed by Microsoft, CNTK is a powerful deep learning framework that supports distributed training and runs efficiently on GPUs. It is well-suited for large-scale machine-learning tasks.

6. H2O.ai: An open-source platform for machine learning and AI, H2O.ai offers a suite of algorithms for data science and predictive analytics. It is designed for fast and scalable computations.

7. Apache MXNet: A flexible and efficient deep learning framework, Apache MXNet supports both symbolic and imperative programming. It is known for its scalability and performance.

8. Keras: A high-level neural networks API written in Python, Keras is easy to use and allows for rapid prototyping of deep learning models. It can run on top of other deep learning frameworks like TensorFlow.

9. RapidMiner: A powerful data science platform, RapidMiner offers a wide range of tools for data preprocessing, modeling, and evaluation. It is great for building predictive models and extracting insights from data.

10. Google Cloud AI Platform: A fully managed service for building, training, and deploying machine learning models on Google Cloud, AI Platform provides tools for data preprocessing, model training, and serving predictions.

11. OpenAI Gym: An open-source platform for reinforcement learning research, OpenAI Gym provides a suite of environments for testing and developing AI algorithms. It is widely used by researchers and practitioners alike.

12. Prodigy: An annotation tool for creating training data for machine learning models, Prodigy makes it easy to label text, images, and other types of data. It is great for building custom datasets for AI projects.

In conclusion, these free AI tools offer a wide range of capabilities for developers and businesses looking to leverage artificial intelligence in their projects. Whether you are building deep learning models, conducting data analysis, or training reinforcement learning algorithms, these tools can help you achieve your goals efficiently and effectively.