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Machine Learning (23 results) showing 1 - 10



The AWS Deep Learning Containers for PyTorch include containers for training and inference for CPU and GPU, optimized for performance and scale on AWS. These Docker images have been tested with SageMaker, EC2, ECS, and EKS and provide stable versions of NVIDIA CUDA, cuDNN, Intel MKL, Horovod and...


Develop, Optimize and Deploy GPU-Accelerated Apps - The NVIDIA® CUDA® Toolkit provides a development environment for creating high performance GPU-accelerated applications. With the CUDA Toolkit, you can develop, optimize, and deploy your applications on GPU-accelerated embedded systems, desktop...


The AWS Deep Learning Containers for TensorFlow include containers for training and inference for CPU and GPU, optimized for performance and scale on AWS. These Docker images have been tested with SageMaker, EC2, ECS, and EKS and provide stable versions of NVIDIA CUDA, cuDNN, Intel MKL, Horovod and...


The AWS Deep Learning Containers for MXNet include containers for training and inference for CPU and GPU, optimized for performance and scale on AWS. These Docker images have been tested with SageMaker, EC2, ECS, and EKS and provide stable versions of NVIDIA CUDA, cuDNN, Intel MKL, and other...


A fully pre-configured Deep Learning Container with TensorFlow 2.0 and open-source libraries for machine learning, including Jupyter Lab & Notebook, Keras, Theano, PyTorch, OpenCV, H2O, CNTK, NVIDIA CUDA, cuDNN, Numpy, Scipy, scikit-learn, XGBoost, etc. The container provides a seamless user...

  • Version 18.11
  • Sold by NVIDIA

TensorFlow is an open-source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) that flow between them. This flexible architecture lets you deploy...


Kubeflow Stack is designed to simplify the deployment of Kubeflow and additional components on AWS EKS. It supports the full lifecycle of machine learning projects: data preparation, model development, training, serving, and monitoring. Included software: Kubeflow Dashboard, kfctl, Jupyter...


Ingest any kind of categorical data through a REST API for a real-time score of its novelty. Immediately find anomalies that are hiding in a high-volume stream of data. Each observation is evaluated for novelty, using context to reducing false positives, and providing an explanation of what makes...

  • Version CentOS 7, PostgreSQL 9.4, Java 8, Apache Tomcat 8.5
  • Sold by Paphus Solutions

Bot Libre is a free open source platform that lets you install on your own Amazon EC2 instance, and host bots for your own projects and clients. Hosting on your own instance gives you complete control of your data and privacy. Chat and chatbots are the new application paradigm that is replacing...

  • Version 18.11
  • Sold by NVIDIA

PyTorch is a GPU accelerated tensor computational framework with a Python front end. Functionality can be easily extended with common Python libraries such as NumPy, SciPy, and Cython. Automatic differentiation is done with a tape-based system at both a functional and neural network layer level....