Jetware - package: Keras / Appliances

aise / TensorFlow 1.7 Python 2.7 CUDA 9.1 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 optimized for running on NVidia GPU.

tensorflow:1.7.0, keras:2.1.2, python:2.7.14, jupyter_notebook:1.0.0, cuda:9.1.85.3, cudnn:7.1.2, cuda_only-nvidia_drivers:390.25, development_preset:1

aise / TensorFlow 1.7 Python 2.7 CUDA 9 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 optimized for running on NVidia GPU.

tensorflow:1.7.0, keras:2.1.2, python:2.7.14, jupyter_notebook:1.0.0, cuda:9.0.176, cudnn:7.0.5, cuda_only-nvidia_drivers:384.111, development_preset:1

aise / TensorFlow 1.6 Python 2.7 CUDA 9.1 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 optimized for running on NVidia GPU.

tensorflow:1.6.0, keras:2.1.2, python:2.7.14, jupyter_notebook:1.0.0, cuda:9.1.85.3, cudnn:7.0.5, cuda_only-nvidia_drivers:390.25, development_preset:1

aise / TensorFlow 1.6 Python 2.7 CUDA 9 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 optimized for running on NVidia GPU.

tensorflow:1.6.0, keras:2.1.2, python:2.7.14, jupyter_notebook:1.0.0, cuda:9.0.176, cudnn:7.0.5, cuda_only-nvidia_drivers:384.111, development_preset:1

aise / TensorFlow 1.5 Python 2.7 CUDA 9 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 optimized for running on NVidia GPU.

tensorflow:1.5.0, keras:2.1.2, python:2.7.14, jupyter_notebook:1.0.0, cuda:9.0.176, cudnn:7.0.5, cuda_only-nvidia_drivers:384.111, development_preset:1

aise / TensorFlow 1.7 Python 2.7 CPU 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 optimized for running on CPU.

tensorflow:1.7.0, keras:2.1.2, python:2.7.14, jupyter_notebook:1.0.0, development_preset:1

aise / TensorFlow 1.6 Python 2.7 CPU 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 optimized for running on CPU.

tensorflow:1.6.0, keras:2.1.2, python:2.7.14, jupyter_notebook:1.0.0, development_preset:1

aise / Stanford CS231n course Python 2 NVidia GPU (Latest versions)

The pre-configured and ready-to-use runtime environment for the CS231n course - Convolutional Neural Networks for Visual Recognition, Stanford University, Spring 2017. It includes latest versions of Python 2, TensorFlow, and PyTorch. The stack also includes CUDA and cuDNN, and is optimized for running on NVidia GPU.

stanford-cs231n-course:1617spring, tensorflow:1.5.0, pytorch:0.3.0, keras:2.1.2, python:2.7.14, cuda:9.0.176, cudnn:7.0.5, cuda_only-nvidia_drivers:384.111

aise / Stanford CS231n course Python 2 CPU only (Latest versions)

The pre-configured and ready-to-use runtime environment for the CS231n course - Convolutional Neural Networks for Visual Recognition, Stanford University, Spring 2017. It includes latest versions of Python 2, TensorFlow, and PyTorch. The software stack is optimized for running on CPU.

stanford-cs231n-course:1617spring, tensorflow:1.5.0, pytorch:0.3.0, keras:2.1.2, python:2.7.14