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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:
Framework | Version | Description |
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Caffe | 1.0 | Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research and by community contributors. |
Pytorch | 1.3.1.0 | Pytorch 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. |
TensorFlow | 2.1.14.0 | TensorFlow is an end-to-end open-source platform for machine learning. It is developed by Google and by community contributors. |
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Name | Version | Description |
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caffe | 1.0 | Caffe is a deep learning framework made with expression, speed, and modularity in mind. |
cudatoolkit | 10.12.16889 | The NVIDIA® CUDA® Toolkit provides a development environment for creating high-performance GPU-accelerated applications. |
cudnn | 7.6.5.1+10.12 | The NVIDIA CUDA® Deep Neural Network library (cuDNN) is a GPU-accelerated library of primitives for deep neural networks. |
nccl | 2.45.76 | The NVIDIA Collective Communications Library (NCCL) implements multi-GPU and multi-node collective communication primitives that are performance-optimized for NVIDIA GPUs. |
opencv | 3.4.28 | OpenCV was designed for computational efficiency and with a strong focus on real-time applications. |
pytorch | 1.3.1.0 | PyTorch enables fast, flexible experimentation and efficient production through a hybrid front-end, distributed training, and ecosystem of tools and libraries. |
tensorboard | 2.1.14.0 | To make it easier to understand, debug, and optimize TensorFlow programs, we've included a suite of visualization tools called TensorBoard. |
tensorflow-gpu | 2.1.14.0 | The core open-source library to help you develop and train ML models. |
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