Аплайнсы
![Tensorflow15_python2_cuda91 Machine learning](/ic/appliances/max/machine_learning.png)
A pre-configured and fully integrated software stack with TensorFlow, an open source software library for machine learning, and the Python programming language. It provides a stable and tested execution environment for training, inference, or running as an API service. The stack can be easily integrated into continuous integration and deployment workflows. It is designed for short and long-running high-performance tasks and optimized for running on NVidia GPU.
![Tensorflow-1 Tensorflow](/ic/packages/min/tensorflow.png)
![Python-2 Python](/ic/packages/min/python.png)
![Cuda-9 Cuda](/ic/packages/min/cuda.png)
![Cudnn-7 Cudnn](/ic/packages/min/cudnn.png)
![Cuda_only-nvidia_drivers-390 Nvidia drivers](/ic/packages/min/nvidia_drivers.png)
![Development_preset-1 Preset](/ic/packages/min/preset.png)
![Pytorch03_python2_cuda91 Machine learning](/ic/appliances/max/machine_learning.png)
A pre-configured and fully integrated software stack with PyTorch, an open source machine learning library, and Python 2.7. It provides a stable and tested execution environment for training, inference, or running as an API service. The stack can be easily integrated into continuous integration and deployment workflows. It is designed for short and long-running high-performance tasks and optimized for running on NVidia GPU.
![Pytorch-0 Pytorch](/ic/packages/min/pytorch.png)
![Python-2 Python](/ic/packages/min/python.png)
![Cuda-9 Cuda](/ic/packages/min/cuda.png)
![Cudnn-7 Cudnn](/ic/packages/min/cudnn.png)
![Cuda_only-nvidia_drivers-390 Nvidia drivers](/ic/packages/min/nvidia_drivers.png)
![Development_preset-1 Preset](/ic/packages/min/preset.png)
![Tensorflow15_python2_cuda9 Machine learning](/ic/appliances/max/machine_learning.png)
A pre-configured and fully integrated software stack with TensorFlow, an open source software library for machine learning, and Python 2.7. It provides a stable and tested execution environment for training, inference, or running as an API service. The stack can be easily integrated into continuous integration and deployment workflows. It is designed for short and long-running high-performance tasks and optimized for running on NVidia GPU.
![Tensorflow-1 Tensorflow](/ic/packages/min/tensorflow.png)
![Python-2 Python](/ic/packages/min/python.png)
![Cuda-9 Cuda](/ic/packages/min/cuda.png)
![Cudnn-7 Cudnn](/ic/packages/min/cudnn.png)
![Cuda_only-nvidia_drivers-384 Nvidia drivers](/ic/packages/min/nvidia_drivers.png)
![Development_preset-1 Preset](/ic/packages/min/preset.png)
![Tensorflow15_python2_cpu Machine learning](/ic/appliances/max/machine_learning.png)
A pre-configured and fully integrated software stack with TensorFlow, an open source software library for machine learning, and Python 2.7. It provides a stable and tested execution environment for training, inference, or running as an API service. The stack can be easily integrated into continuous integration and deployment workflows. It is designed for short and long-running high-performance tasks and optimized for running on CPU.
![Tensorflow-1 Tensorflow](/ic/packages/min/tensorflow.png)
![Python-2 Python](/ic/packages/min/python.png)
![Development_preset-1 Preset](/ic/packages/min/preset.png)
![Pytorch03_python2_cuda9 Machine learning](/ic/appliances/max/machine_learning.png)
A pre-configured and fully integrated software stack with PyTorch, an open source machine learning library, and Python 2.7. It provides a stable and tested execution environment for training, inference, or running as an API service. The stack can be easily integrated into continuous integration and deployment workflows. It is designed for short and long-running high-performance tasks and optimized for running on NVidia GPU.
![Pytorch-0 Pytorch](/ic/packages/min/pytorch.png)
![Python-2 Python](/ic/packages/min/python.png)
![Cuda-9 Cuda](/ic/packages/min/cuda.png)
![Cudnn-7 Cudnn](/ic/packages/min/cudnn.png)
![Cuda_only-nvidia_drivers-384 Nvidia drivers](/ic/packages/min/nvidia_drivers.png)
![Selfmanagement_preset Selfmanagement](/ic/packages/min/selfmanagement.png)
![Development_preset-1 Preset](/ic/packages/min/preset.png)
![Pytorch03_python2_cpu Machine learning](/ic/appliances/max/machine_learning.png)
A pre-configured and fully integrated software stack with PyTorch, an open source machine learning library, and Python 2.7. It provides a stable and tested execution environment for training, inference, or running as an API service. The stack can be easily integrated into continuous integration and deployment workflows. It is designed for short and long-running high-performance tasks and optimized for running on CPU.
![Pytorch-0 Pytorch](/ic/packages/min/pytorch.png)
![Python-2 Python](/ic/packages/min/python.png)
![Selfmanagement_preset Selfmanagement](/ic/packages/min/selfmanagement.png)
![Development_preset-1 Preset](/ic/packages/min/preset.png)
![Course_udacity_nd009t_2018_python2_cuda8 Course udacity](/ic/appliances/max/course_udacity.png)
The pre-configured and ready-to-use runtime environment for the Udacity's Machine Learning Engineer Nanodegree program (nd009t). It includes Python 2.7, TensorFlow 1.0.0 and Keras 2.0.2. The stack also includes CUDA and cuDNN, and is optimized for running on NVidia GPU.
![Udacity-nd009t-course-2018 Course](/ic/packages/min/course.png)
![Python-2 Python](/ic/packages/min/python.png)
![Cuda-8 Cuda](/ic/packages/min/cuda.png)
![Cudnn-5 Cudnn](/ic/packages/min/cudnn.png)
![Cuda_only-nvidia_drivers-384 Nvidia drivers](/ic/packages/min/nvidia_drivers.png)
![Course_udacity_nd009t_2018_python2_cpu Course udacity](/ic/appliances/max/course_udacity.png)
The pre-configured and ready-to-use runtime environment for the Udacity's Machine Learning Engineer Nanodegree program (nd009t). It includes Python 2.7, TensorFlow 1.0.0 and Keras 2.0.2. The software stack is optimized for running on CPU.
![Udacity-nd009t-course-2018 Course](/ic/packages/min/course.png)
![Python-2 Python](/ic/packages/min/python.png)
![Course_stanford_cs224n_2018_python2_cuda9 Course stanford](/ic/appliances/max/course_stanford.png)
The pre-configured and ready-to-use runtime environment for the Stanford's CS224n course: Natural Language Processing with Deep Learning. It includes Python 2.7 and TensorFlow 1.4.1. The stack also includes CUDA and cuDNN, and is optimized for running on NVidia GPU.
![Stanford-cs224n-course-2018 Course](/ic/packages/min/course.png)
![Python-2 Python](/ic/packages/min/python.png)
![Cuda-9 Cuda](/ic/packages/min/cuda.png)
![Cudnn-7 Cudnn](/ic/packages/min/cudnn.png)
![Cuda_only-nvidia_drivers-384 Nvidia drivers](/ic/packages/min/nvidia_drivers.png)
![Course_stanford_cs224n_2018_python2_cpu Course stanford](/ic/appliances/max/course_stanford.png)
The pre-configured and ready-to-use runtime environment for the Stanford's CS224n course: Natural Language Processing with Deep Learning. It includes Python 2.7 and TensorFlow 1.4.1. The software stack is optimized for running on CPU.
![Stanford-cs224n-course-2018 Course](/ic/packages/min/course.png)
![Python-2 Python](/ic/packages/min/python.png)