Jetware - role: Course__python_modules / Appliances

aise / Udacity Deep Learning Nanodegree Foundation program (nd101), NVidia GPU

The pre-configured and ready-to-use runtime environment for the Udacity's Deep Learning Nanodegree Foundation program (nd101). It includes Python 3.5, TensorFlow 1.0.0 and tflearn 0.30. The stack also includes CUDA and cuDNN, and is optimized for running on NVidia GPU.

udacity-nd101-course:2018, cuda:8.0.61, cudnn:5.1.10, cuda_only-nvidia_drivers:384.111

aise / Udacity Deep Learning Nanodegree Foundation program (nd101), CPU only

The pre-configured and ready-to-use runtime environment for the Udacity's Deep Learning Nanodegree Foundation program (nd101). It includes Python 3.5, TensorFlow 1.0.0 and tflearn 0.30. The software stack is optimized for running on CPU.

udacity-nd101-course:2018

aise / Stanford CS224n course: Natural Language Processing with Deep Learning, Python 3 NVidia GPU

The pre-configured and ready-to-use runtime environment for the Stanford's CS224n course: Natural Language Processing with Deep Learning. It includes Python 3.6 and TensorFlow 1.4.1. The stack also includes CUDA and cuDNN, and is optimized for running on NVidia GPU.

stanford-cs224n-course:2018, python:3.6.3, cuda:9.0.176, cudnn:7.0.5, cuda_only-nvidia_drivers:384.111

aise / Stanford CS224n course: Natural Language Processing with Deep Learning, Python 2 NVidia GPU

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, python:2.7.14, cuda:9.0.176, cudnn:7.0.5, cuda_only-nvidia_drivers:384.111

aise / Stanford CS224n course: Natural Language Processing with Deep Learning, Python 3 CPU only

The pre-configured and ready-to-use runtime environment for the Stanford's CS224n course: Natural Language Processing with Deep Learning. It includes Python 3.6 and TensorFlow 1.4.1. The software stack is optimized for running on CPU.

stanford-cs224n-course:2018, python:3.6.3

aise / Stanford CS224n course: Natural Language Processing with Deep Learning, Python 2 CPU only

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, python:2.7.14

aise / Stanford CS20 course: Tensorflow for Deep Learning Research, NVidia GPU

The pre-configured and ready-to-use runtime environment for the Stanford's CS20 course: Tensorflow for Deep Learning Research. It includes Python 3.6 and TensorFlow 1.4.1. The stack also includes CUDA and cuDNN, and is optimized for running on NVidia GPU.

stanford-cs20-course:2018, cuda:9.0.176, cudnn:7.0.5, cuda_only-nvidia_drivers:384.111

aise / Stanford CS20 course: Tensorflow for Deep Learning Research, CPU only

The pre-configured and ready-to-use runtime environment for the Stanford's CS20 course: Tensorflow for Deep Learning Research. It includes Python 3.6 and TensorFlow 1.4.1. The software stack is optimized for running on CPU.

stanford-cs20-course:2018

aise / Fast.ai Practical Deep Learning for Coders 2018 part 1 NVidia GPU

The pre-configured and ready-to-use runtime environment for the Fast.ai's courses Practical Deep Learning for Coders, 2018 edition, part 1. It includes Python 3.6 and PyTorch 0.3.0. The stack also includes CUDA and cuDNN, and is optimized for running on NVidia GPU.

fast_ai-course:2018-1, cuda:9.0.176, cudnn:7.0.5, cuda_only-nvidia_drivers:384.111

aise / Fast.ai Practical Deep Learning for Coders 2018 part 1 CPU only

The pre-configured and ready-to-use runtime environment for the Fast.ai's courses Practical Deep Learning for Coders, 2018 edition, part 1. It includes Python 3.6 and PyTorch 0.3.0. The software stack is optimized for running on CPU.

fast_ai-course:2018-1