deepo | Setup and customize deep learning environment in seconds | Machine Learning library

by ufoym Python Version: v2.0.0 License: MIT

X-Ray Key Features Code Snippets(2)Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | deepo Summary

deepo is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow applications. deepo has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. However deepo build file is not available. You can download it from GitHub.

Deepo is a series of Docker images that. and their Dockerfile generator that.

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Quality

Security

License

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Support

deepo has a medium active ecosystem.

It has 6318 star(s) with 778 fork(s). There are 175 watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 123 have been closed. On average issues are closed in 449 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of deepo is v2.0.0

Quality

deepo has 0 bugs and 0 code smells.

Security

deepo has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

deepo code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

deepo is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

deepo releases are available to install and integrate.

deepo has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

deepo saves you 280 person hours of effort in developing the same functionality from scratch.

It has 677 lines of code, 44 functions and 23 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed deepo and discovered the below as its top functions. This is intended to give you an instant insight into deepo implemented functionality, and help decide if they suit your requirements.

Generate candidate modules
Build a job script
Get the tags from postfix
Generate docker command
Write script to f
Indent a string
Return a Dockerfile representation of a Dockerfile
Split a string
Import a module by name

Get all kandi verified functions for this library.

deepo Key Features

No Key Features are available at this moment for deepo.

deepo Examples and Code Snippets

Reproducibility

Python

Lines of Code : 6

License : Permissive (MIT)

Copy

pip install --upgrade tqdm \
                      torchsummary \
                      tensorboardX \
                      albumentations==0.4.1 \
                      torch==1.1.0 \ 
                      torchvision==0.4.0

目录导航

Jupyter Notebook

Lines of Code : 5

License : No License

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          / _ \ | | (_) | '_ \/ -_) ' \  | (_) \ V / -_) '_\ V / / -_) V  V /
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Community Discussions

Trending Discussions on deepo

jupyter notebook running in docker on remote server: keras not using gpu

Cannot run Flask on Docker (ModuleNotFoundError)

nvidia-smi executable file not found

QUESTION

jupyter notebook running in docker on remote server: keras not using gpu

Asked 2019-Nov-21 at 19:00

I'm setting up a jupyter notebook run on a remote server but my code appears not to be using the GPU. It looks like tensorflow is identifying the GPU but Keras is missing it somehow. Is there something in my setup process leading to this?

I installed nvidia docker via the github instructions:

...

ANSWER

Answered 2019-Nov-21 at 19:00

Try installing another image, I also had problems with custom images so I went with a direct nvidia image:

Source https://stackoverflow.com/questions/58981627

QUESTION

Cannot run Flask on Docker (ModuleNotFoundError)

Asked 2019-Aug-05 at 12:40

I have been trying to run my Python API (using Flask) with Docker for a while, but keep running into this issue:

ModuleNotFoundError: No module named 'flask'

Running this on Mac OS X (10.14.5) with Docker version 19.03.1, build 74b1e89.

My Dockerfile looks like this:

...

ANSWER

Answered 2019-Aug-05 at 12:11

you need just to specify the correct Python version, so you need just to change your entrypoint to:

Source https://stackoverflow.com/questions/57357154

QUESTION

nvidia-smi executable file not found

Asked 2017-Nov-09 at 13:46

I have went through 3 different issues in the nvidia-docker repo about this exact problem but actually couldn't figure out what's wrong.

I'm a heavy docker user but I don't understand much of the terminology and solution used in those issues.

When I run nvidia-smi as sudo or not, everything works great and I get the standard output. My nvidia-docker-plugin is up and running, and I get these messages when I run nvidia-docker run --rm nvidia/cuda nvidia-smi:

nvidia-docker-plugin | 2017/11/04 09:14:18 Received mount request for volume 'nvidia_driver_387.22' Blockquote nvidia-docker-plugin | 2017/11/04 09:14:18 Received unmount request for volume 'nvidia_driver_387.22'

I also tried to run the deepo repository, can't get it to work as all my containers exit upon starting, and the nvidia-docker run --rm nvidia/cuda nvidia-smi outputs the error:

container_linux.go:247: starting container process caused "exec: \"nvidia-smi\": executable file not found in $PATH" /usr/bin/docker-current: Error response from daemon: oci runtime error: container_linux.go:247: starting container process caused "exec: \"nvidia-smi\": executable file not found in $PATH".

What am I doing wrong?

I run Fedora 26, if it makes any difference

...

ANSWER

Answered 2017-Nov-09 at 03:58

On Ubuntu, you should install nvidia-modprobe package. I understand that also exists in Fedora. For some reason, this dependency isn't required either documented.

Source https://stackoverflow.com/questions/47109109

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install deepo

For users in China who may suffer from slow speeds when pulling the image from the public Docker registry, you can pull deepo images from the China registry mirror by specifying the full path, including the registry, in your docker pull command, for example:.
For example, if you like pytorch and lasagne, then. This should generate a Dockerfile that contains everything for building pytorch and lasagne. Note that the generator can handle automatic dependency processing and topologically sort the lists. So you don't need to worry about missing dependencies and the list order.

Support

We appreciate all contributions. If you are planning to contribute back bug-fixes, please do so without any further discussion. If you plan to contribute new features, utility functions or extensions, please first open an issue and discuss the feature with us.

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