Jetware - ruolo: Python_pyyaml / Appliances

aise / TensorFlow 1.8 Python 3.6 CPU MKL Notebook

A pre-configured and fully integrated minimal runtime environment with TensorFlow, an open source software library for machine learning, Keras, an open source neural network library, Jupyter Notebook, a browser-based interactive notebook for programming, mathematics, and data science, and the Python programming language. The stack is built with the Intel MKL and MKL-DNN libraries and optimized for running on CPU.

tensorflow:1.8.0, keras:2.1.6, python:3.6.3, jupyter_notebook:1.0.0, development_preset:1

aise / TensorFlow 1.8 Python 2.7 CPU MKL Notebook

A pre-configured and fully integrated minimal runtime environment with TensorFlow, an open source software library for machine learning, Keras, an open source neural network library, Jupyter Notebook, a browser-based interactive notebook for programming, mathematics, and data science, and the Python programming language. The stack is built with the Intel MKL and MKL-DNN libraries and optimized for running on CPU.

tensorflow:1.8.0, keras:2.1.6, python:2.7.14, jupyter_notebook:1.0.0, development_preset:1

ricardocerq / dl

tensorflow:1.8.0, keras:2.1.2, python:3.6.3, jupyter_notebook:1.0.0, cuda:9.0.176, cudnn:7.0.5, cuda_only-nvidia_drivers:396.24, opencv:3.4.1, development_preset:1

aise / PyTorch 0.4 Python 3.6 CUDA 9.1 Production

A pre-configured and fully integrated software stack with PyTorch, an open source software library for machine learning, and the Python programming language. The stack is designed for short and long-running high-performance tasks and is optimized for running on NVidia GPU.

pytorch:0.4.0, python:3.6.3, cuda:9.1.85.3, cudnn:7.1.3, cuda_only-nvidia_drivers:396.24, development_preset:1

aise / PyTorch 0.4 Python 2.7 CUDA 9.1 Production

A pre-configured and fully integrated software stack with PyTorch, an open source software library for machine learning, and the Python programming language. The stack is designed for short and long-running high-performance tasks and is optimized for running on NVidia GPU.

pytorch:0.4.0, python:2.7.14, cuda:9.1.85.3, cudnn:7.1.3, cuda_only-nvidia_drivers:396.24, development_preset:1

aise / PyTorch 0.4 Python 3.6 CUDA 9 Production

A pre-configured and fully integrated software stack with PyTorch, an open source software library for machine learning, and the Python programming language. The stack is designed for short and long-running high-performance tasks and is optimized for running on NVidia GPU.

pytorch:0.4.0, python:3.6.3, cuda:9.0.176, cudnn:7.0.5, cuda_only-nvidia_drivers:384.111, development_preset:1

aise / PyTorch 0.4 Python 2.7 CUDA 9 Production

A pre-configured and fully integrated software stack with PyTorch, an open source software library for machine learning, and the Python programming language. The stack is designed for short and long-running high-performance tasks and is optimized for running on NVidia GPU.

pytorch:0.4.0, python:2.7.14, cuda:9.0.176, cudnn:7.0.5, cuda_only-nvidia_drivers:384.111, development_preset:1

aise / PyTorch 0.4 Python 3.6 CPU Production

A pre-configured and fully integrated software stack with PyTorch, an open source software library for machine learning, and the Python programming language. The stack is designed for short and long-running high-performance tasks and is optimized for running on CPU.

pytorch:0.4.0, python:3.6.3, development_preset:1

aise / PyTorch 0.4 Python 2.7 CPU Production

A pre-configured and fully integrated software stack with PyTorch, an open source software library for machine learning, and the Python programming language. The stack is designed for short and long-running high-performance tasks and is optimized for running on CPU.

pytorch:0.4.0, python:2.7.14, development_preset:1

aise / PyTorch 0.4 Python 2.7 CUDA 9.1 Notebook

A pre-configured and fully integrated minimal runtime environment with PyTorch, an open source machine learning library for Python, Jupyter Notebook, a browser-based interactive notebook for programming, mathematics, and data science, and the Python programming language. The stack is optimized for running on NVidia GPU.

pytorch:0.4.0, python:2.7.14, jupyter_notebook:1.0.0, cuda:9.1.85.3, cudnn:7.1.3, cuda_only-nvidia_drivers:396.24, development_preset:1