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Open-source artificial intelligence is the application of open-source practices to the development of artificial intelligence resources. Many open-source artificial intelligence products are variations of other existing tools and technologies which have been shared as open-source software by large companies. [1]
TensorFlow is a free and open-source software library for machine learning and artificial intelligence. It can be used across a range of tasks but has a particular focus on training and inference of deep neural networks. It was developed by the Google Brain team for Google's internal use in research and production.
Deeplearning4j, an open-source, distributed deep learning framework written for the JVM. Keras, a high level open-source software library for machine learning (works on top of other libraries). Microsoft Cognitive Toolkit (previously known as CNTK), an open source toolkit for building artificial neural networks.
Google has unveiled a family of free open-source AI models that will compete with those from Meta and several well-funded AI startups such as Mistral and Hugging Face.. The company is calling the ...
Software Creator Initial release Software license Open source Platform Written in Interface OpenMP support OpenCL support CUDA support ROCm support Automatic differentiation Has pretrained models Recurrent nets Convolutional nets RBM/DBNs Parallel execution (multi node) Actively developed BigDL: Jason Dai (Intel) 2016 Apache 2.0: Yes Apache ...
The Open Neural Network Exchange project was created by Meta and Microsoft in September 2017 for converting models between frameworks. Caffe2 was merged into PyTorch at the end of March 2018. [21] In September 2022, Meta announced that PyTorch would be governed by PyTorch Foundation, a newly created independent organization – a subsidiary of ...
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