Difference between revisions of "AI Help"
| Line 10: | Line 10: | ||
=== Tensorflow/Keras === | === Tensorflow/Keras === | ||
'''[[TensorFlow]]''' is an open-source AI framework/platform developed by Google Brain team. '''[[Keras]]''' is an open-source neural network library which can be run on top of TensorFlow. With TensorFlow 2.0, the Keras API has been integrated in TensorFlow's core library and serves as a high-level programming interface that uses TensorFlow as a backend. It supports both GPU and CPUs, as well as multi-GPU and distributed training. APIs are available for Python, Java, Go and C++. | '''[[TensorFlow]]''' is an open-source AI framework/platform developed by Google Brain team. '''[[Keras]]''' is an open-source neural network library which can be run on top of TensorFlow. With TensorFlow 2.0, the Keras API has been integrated in TensorFlow's core library and serves as a high-level programming interface that uses TensorFlow as a backend. It supports both GPU and CPUs, as well as multi-GPU and distributed training. APIs are available for Python, Java, Go and C++. | ||
| + | |||
| + | === Sci-kit Learn === | ||
| + | Sci-kit learn is a Python library for machine learning and statistical modeling. It is available in '''[[Python]]''' models on HiPerGator. | ||
Revision as of 22:21, 2 February 2021
AI Software
A comprehensive software stack for AI research is available on HiPerGator for both CPU and GPU accelerated applications.
AI Frameworks
AI frameworks provide building blocks for designing and training machine learning and deep learning models. The following AI frameworks are available on HiPerGator.
PyTorch
PyTorch is deep learning framework developed by Facebook AI Research Lab and has interfaces for Python, Java, and C++. It supports training on both GPU and CPUs, as well as distributed training and multi-GPU models.
Tensorflow/Keras
TensorFlow is an open-source AI framework/platform developed by Google Brain team. Keras is an open-source neural network library which can be run on top of TensorFlow. With TensorFlow 2.0, the Keras API has been integrated in TensorFlow's core library and serves as a high-level programming interface that uses TensorFlow as a backend. It supports both GPU and CPUs, as well as multi-GPU and distributed training. APIs are available for Python, Java, Go and C++.
Sci-kit Learn
Sci-kit learn is a Python library for machine learning and statistical modeling. It is available in Python models on HiPerGator.