Package
python_matplotlib-2.0.2--python-3.6.3
Module
Version
Flavor
python-3.6.3
Other branches
Other flavors
Ruolo
Descrizione
Matplotlib, a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms.
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
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
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
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
The pre-configured and ready-to-use runtime environment for the Open Machine Learning Course, 2018. It includes Python 3.6, TensorFlow 1.4, Keras 2, XGBoost, LightGBM and Vowpal Wabbit. The stack also includes CUDA and cuDNN, and is optimized for running on NVidia GPU.
mlcourse_open-course:2018, cuda:8.0.61, cudnn:7.0.5, cuda_only-nvidia_drivers:384.111
