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Table of Contents

IBM Watson Machine Learning Community Edition (WMLCE-1.

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WMLCE is an enterprise software distribution that combines popular open-source deep learning frameworks, efficient AI development tools, and accelerated IBM Power Systems servers. It includes the following frameworks:

FrameworkVersionDescription
Caffe1.0Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research and by community contributors.
Pytorch1.3.1.0Pytorch is an open-source deep learning platform that provides a seamless path from research prototyping to production deployment. It is developed by Facebook and by community contributors.
TensorFlow2.1.14.0TensorFlow is an end-to-end open-source platform for machine learning. It is developed by Google and by community contributors.

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NameVersionDescription
caffe1.0Caffe is a deep learning framework made with expression, speed, and modularity in mind.
cudatoolkit10.12.16889

The NVIDIA® CUDA® Toolkit provides a development environment for creating high-performance GPU-accelerated applications.

cudnn7.6.5.1+10.12

The NVIDIA CUDA® Deep Neural Network library (cuDNN) is a GPU-accelerated library of primitives for deep neural networks.

nccl2.45.76The NVIDIA Collective Communications Library (NCCL) implements multi-GPU and multi-node collective communication primitives that are performance-optimized for NVIDIA GPUs.
opencv3.4.28OpenCV was designed for computational efficiency and with a strong focus on real-time applications.
pytorch1.3.1.0PyTorch enables fast, flexible experimentation and efficient production through a hybrid front-end, distributed training, and ecosystem of tools and libraries.
tensorboard2.1.14.0To make it easier to understand, debug, and optimize TensorFlow programs, we've included a suite of visualization tools called TensorBoard.
tensorflow-gpu2.1.14.0The core open-source library to help you develop and train ML models.

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