Artificial intelligence (AI) is becoming increasingly popular, and with the rise of open-source software, it has become more accessible than ever before. There are a plethora of open-source AI online services available for free, providing developers with the necessary tools to create intelligent applications. In this article, we will look at ten open-source AI online services that don’t require a trial, and provide a URL and explanation for each website.
- Keras – https://keras.io/
Keras is an open-source neural network library written in Python. It is designed to enable fast experimentation with deep neural networks and has become one of the most popular frameworks for building deep learning models. Keras runs on top of TensorFlow, Theano, and CNTK.
- TensorFlow – https://www.tensorflow.org/
TensorFlow is another popular open-source machine learning platform that was developed by Google. It provides a range of tools and resources to help developers build and deploy custom machine learning models. TensorFlow supports a range of languages such as Python, C++, Java, and more.
- PyTorch – https://pytorch.org/
PyTorch is an open-source machine learning library that uses dynamic computation graphs. It is developed by Facebook and has gained a lot of popularity among researchers and developers for its ease of use and speed. PyTorch is primarily used for building deep neural networks and supports Python and C++.
- Hugging Face – https://huggingface.co/
Hugging Face is an open-source NLP platform that provides a range of state-of-the-art models for various NLP tasks such as text classification, sentiment analysis, and more. It also provides tools for fine-tuning and deploying pre-trained models.
- Apache MXNet – https://mxnet.apache.org/
Apache MXNet is a popular open-source deep learning framework that is known for its scalability and speed. It offers a range of tools and resources to help developers build and deploy machine learning models.
Theano is another open-source machine learning library that is primarily used for building and training neural networks. It is written in Python and provides a range of tools for deep learning researchers and developers.
Caffe is an open-source deep learning framework developed by Berkeley AI Research (BAIR) and is known for its speed and efficiency. It offers a range of tools for building and deploying deep neural networks, and supports C++, Python, and MATLAB.
- Torch – http://torch.ch/
Torch is an open-source scientific computing framework that provides a range of tools for building and training neural networks. It is primarily used for deep learning and offers an extensive collection of libraries and tools for machine learning researchers and developers.
- OpenCV – https://opencv.org/
OpenCV is an open-source computer vision and machine learning library that provides a range of tools and resources for image and video processing. It offers various features such as face recognition, object detection, and more.
- Apache Mahout – https://mahout.apache.org/
Apache Mahout is an open-source machine learning platform that provides a range of tools and resources for building and deploying machine learning models. It supports various algorithms such as clustering, classification, and more, and is primarily used for big data processing.
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