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Machine learning education
Machine Learning Education

The runtime environment constructor for the machine learning and deep learning tutorials and courses.

Principal modules
Course
Course
fast_ai-course:2018-1
fast_ai-course:2017-2
fast_ai-course:2017-1
harvard-cs181-course:2018
harvard-cs287-course:2018
mit-mit_6_s094-course:2017
mlcourse_open-course:2018
stanford-cs20-course:2018
stanford-cs224n-course:2018
stanford-cs231n-course:1617spring
Important modules
Tensorflow
TensorFlow
tensorflow:1.12.0
tensorflow:1.11.0
tensorflow:1.10.0
tensorflow:1.9.0
tensorflow:1.8.0
tensorflow:1.7.0
tensorflow:1.6.0
tensorflow:1.5.0
tensorflow:1.4.1
tensorflow:1.4.0
Pytorch
PyTorch
pytorch:1.0.0
pytorch:0.4.1
pytorch:0.4.0
pytorch:0.3.1
pytorch:0.1.11
Keras
Keras
keras:2.2.4
keras:2.2.2
keras:2.1.6
keras:2.1.2
keras:2.0.2
keras:1.2.2
keras:1.1.0
Python
Python
python:3.6.3
python:3.5.4
python:3.4.7
python:2.7.14
host-python
python:3.7.0a1
Python
Python
python:3.6.3
python:2.7.14
Python
Python
python:3.5.4
python:2.7.14
Cuda
CUDA
cuda:9.2.148.1
cuda:9.1.85.3
cuda:9.0.176
cuda:8.0.61
cuda:7.5.18
Cudnn
cuDNN
cudnn:7.2.1
cudnn:7.1.3
cudnn:7.0.5
cudnn:6.0.21
cudnn:5.1.10
Opencv
OpenCV
opencv:3.4.1
opencv:3.3.0
Theano
Theano
theano:1.0.1
theano:0.9.0
theano:0.8.2
Caffe
Caffe
caffe:1.0-jet-1
Auxiliary modules
Nvidia drivers
NVidia drivers
cuda_only-nvidia_drivers:396.51
cuda_only-nvidia_drivers:396.45
cuda_only-nvidia_drivers:390.25
cuda_only-nvidia_drivers:384.111
cuda_only-nvidia_drivers:387.34
Created:
2018-01-01
Appliances (28)
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
Course
Cuda
Cudnn
Nvidia drivers
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
Course
aise / Udacity Machine Learning Engineer Nanodegree program (nd009t), Python 3 NVidia GPU
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 stack also includes CUDA and cuDNN, and is optimized for running on NVidia GPU.
udacity-nd009t-course:2018, python:3.5.4, cuda:8.0.61, cudnn:5.1.10, cuda_only-nvidia_drivers:384.111
Course
Python
Cuda
Cudnn
Nvidia drivers
aise / Udacity Machine Learning Engineer Nanodegree program (nd009t), Python 2 NVidia GPU
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 stack also includes CUDA and cuDNN, and is optimized for running on NVidia GPU.
udacity-nd009t-course:2018, python:2.7.14, cuda:8.0.61, cudnn:5.1.10, cuda_only-nvidia_drivers:384.111
Course
Python
Cuda
Cudnn
Nvidia drivers
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
Course
Python
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