- repository
- tags
provides fundamental developing environment of machine learning, python 3.5
+tensorflow
Docker | |
---|---|
Docker Pull | docker pull baikangwang/tensorflow_gpu[:tfonly] |
Dockerfile | https://github.com/EverDockers/tensorflow_gpu/blob/tfonly/Dockerfile |
nvidia-docker run -it --name <container name> -v <local working dir>:/projects -p <host port>:6006 baikangwang/tensorflow_gpu:tfonly [/bin/bash]
- nvidia-docker: 1.0
- cuda: 8.0.61
- cudnn: 6.0.21
- tensorflow: 1.3.0
- python: 3.5
provides fundamental developing environment of machine learning with python 2.7, python 2.7
+tensorflow
Docker | |
---|---|
Docker Pull | docker pull baikangwang/tensorflow_gpu:tfonly_py2 |
Dockerfile | https://github.com/EverDockers/tensorflow_gpu/blob/tfonly2/Dockerfile |
nvidia-docker run -it --name <container name> -v <local working dir>:/projects -p <host port>:6006 baikangwang/tensorflow_gpu:tfonly_py2 [/bin/bash]
- nvidia-docker: 1.0
- cuda: 8.0.61
- cudnn: 6.0.21
- tensorflow: 1.3.0
- python: 2.7
based on baikangwang/tensorflow_gpu:tfonly and provides python development environment,
python 3.5
+tensorflow
+jupyter
Docker | |
---|---|
Docker Pull | docker pull baikangwang/tensorflow_gpu:jupyter |
Dockerfile | https://github.com/EverDockers/tensorflow_gpu/blob/jupyter/Dockerfile |
nvidia-docker run -it --name <container name> -v <local working dir>:/projects -p <host port>:8888 baikangwang/tensorflow_gpu:jupyter [/bin/bash]
NOTE: the default command is
/run_jupyter.sh --allow-root
, which will automatically launch jupyter notebook. When create the container with a initial command as/bin/bash
, should manually launch the jupyter notebook within the container,/run_jupyter.sh --allow-root
- nvidia-docker: 1.0
- cuda: 8.0.61
- cudnn: 6.0.21
- tensorflow: 1.3.0
- python: 3.5
- jupyter
based on baikangwang/tensorflow_gpu:tfonly_py2 and provides python 2.7 development environment,
python
+tensorflow
+jupyter
Docker | |
---|---|
Docker Pull | docker pull baikangwang/tensorflow_gpu:jupyter_py2 |
Dockerfile | https://github.com/EverDockers/tensorflow_gpu/blob/jupyter2/Dockerfile |
nvidia-docker run -it --name <container name> -v <local working dir>:/projects -p <host port>:8888 baikangwang/tensorflow_gpu:jupyter_py2 [/bin/bash]
NOTE: the default command is
/run_jupyter.sh --allow-root
, which will automatically launch jupyter notebook. When create the container with a initial command as/bin/bash
, should manually launch the jupyter notebook within the container,/run_jupyter.sh --allow-root
- nvidia-docker: 1.0
- cuda: 8.0.61
- cudnn: 6.0.21
- tensorflow: 1.3.0
- python: 2.7
- jupyter
based on baikangwang/tensorflow_gpu:jupyter and provides python development environment,
python 3.5
+tensorflow
+jupyter
Docker | |
---|---|
Docker Pull | docker pull baikangwang/tensorflow_gpu:emnist |
Dockerfile | https://github.com/EverDockers/tensorflow_gpu/blob/emnist/Dockerfile |
nvidia-docker run -it --name <container name> -v <local working dir>:/projects -p <host port>:8888 <host port>:5555 baikangwang/tensorflow_gpu:emnist [/bin/bash]
- nvidia-docker: 1.0
- cuda: 8.0.61
- cudnn: 6.0.21
- tensorflow: 1.3.0
- python: 3.5.3
- jupyter
- flask
- keras