Jetware - package: Python_pygments / Appliances

nikolajchikin / pml

tensorflow:1.7.0, python:3.6.3, jupyter_notebook:1.0.0, cuda:9.0.176, cudnn:7.1.2, cuda_only-nvidia_drivers:390.25

aise / TensorFlow 1.6 Python 3.6 CPU MiniLab

A pre-configured and fully integrated minimal runtime environment with TensorFlow, an open source software library for machine learning, 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, python:3.6.3, jupyter_notebook:1.0.0, development_preset:1

aise / TensorFlow 1.5 Python 3.6 CPU MiniLab

A pre-configured and fully integrated minimal runtime environment with TensorFlow, an open source software library for machine learning, 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:1.5.0, python:3.6.3, jupyter_notebook:1.0.0, development_preset:1

aise / PyTorch 0.3 Python 3.6 CPU MiniLab

A pre-configured and fully integrated minimal runtime environment with PyTorch, an open source machine learning 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.

pytorch:0.3.0, python:3.6.3, jupyter_notebook:1.0.0, development_preset:1

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 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 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