Jetware - Роль: pandas / Аплайнсы

aise / Udacity Machine Learning Engineer Nanodegree program (nd009t), Python 3 CPU only

The pre-configured and ready-to-use runtime environment for the Udacity's Machine Learning Engineer Nanodegree program (nd009t). It includes Python 3.5, TensorFlow 1.0.0 and Keras 2.0.2. The software stack is optimized for running on CPU.

udacity-nd009t-course:2018, python:3.5.4

aise / Udacity Machine Learning Engineer Nanodegree program (nd009t), Python 2 CPU only

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, python:2.7.14

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 / Machine Learning / Education / MIT 6.S094 course: Deep Learning for Self-Driving Cars 2017 / NVidia GPU

The pre-configured and ready-to-use runtime environment for the MIT 6.S094 course: Deep Learning for Self-Driving Cars, 2017. It includes Python 2.7, TensorFlow 0.12.1 and OpenCV 3.3.0. The stack also includes CUDA and cuDNN, and is optimized for running on NVidia GPU.

mit-mit_6_s094-course:2017, cuda:8.0.61, cudnn:5.1.10, cuda_only-nvidia_drivers:384.111

aise / Machine Learning / Education / MIT 6.S094 course: Deep Learning for Self-Driving Cars 2017 / CPU only

The pre-configured and ready-to-use runtime environment for the MIT 6.S094 course: Deep Learning for Self-Driving Cars, 2017. It includes Python 2.7, TensorFlow 0.12.1 and OpenCV 3.3.0. The software stack is optimized for running on CPU.

mit-mit_6_s094-course:2017