visdom | flexible tool | Data Visualization library

by facebookresearch Python Version: 0.2.4 License: Non-SPDX

X-Ray Key Features Code Snippets(10)Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | visdom Summary

visdom is a Python library typically used in Analytics, Data Visualization applications. visdom has no bugs, it has no vulnerabilities, it has build file available and it has high support. However visdom has a Non-SPDX License. You can install using 'pip install visdom' or download it from GitHub, PyPI.

Visdom aims to facilitate visualization of (remote) data with an emphasis on supporting scientific experimentation. Broadcast visualizations of plots, images, and text for yourself and your collaborators. Organize your visualization space programmatically or through the UI to create dashboards for live data, inspect results of experiments, or debug experimental code.

Support

Quality

Security

License

Reuse

Support

visdom has a highly active ecosystem.

It has 7584 star(s) with 951 fork(s). There are 188 watchers for this library.

It had no major release in the last 12 months.

There are 76 open issues and 412 have been closed. On average issues are closed in 48 days. There are 5 open pull requests and 0 closed requests.

It has a positive sentiment in the developer community.

The latest version of visdom is 0.2.4

Quality

visdom has 0 bugs and 0 code smells.

Security

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

visdom code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

visdom has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

visdom releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

visdom saves you 1817 person hours of effort in developing the same functionality from scratch.

It has 4015 lines of code, 197 functions and 22 files.

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

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visdom Key Features

No Key Features are available at this moment for visdom.

visdom Examples and Code Snippets

2. Train teachers and students

Python

Lines of Code : 26

License : No License

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visdom -p 15550

# Teacher
python train_teacher.py --dataset cifar10 --batch_size 128 --step_size 80 --epochs 200 --model resnet34_8x

# Student
python DFAD_cifar.py --dataset cifar10 --ckpt checkpoint/teacher/cifar10-resnet34_8x.pt --scheduler

# Te

CCCapsNet,Usage,Train Text Classification

Python

Lines of Code : 23

License : No License

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visdom -logging_level WARNING & python main.py --data_type newsgroups --num_epochs 70
optional arguments:
--data_type              dataset type [default value is 'imdb'](choices:['imdb', 'newsgroups', 'reuters', 'webkb',

How to using

Python

Lines of Code : 22

License : Permissive (MIT)

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training:
  # the name of python file in training
  method: SCAHN
  # the data set name, you can choose mirflickr25k, nus wide, ms coco, iapr tc-12
  dataName: Mirflickr25K
  batchSize: 64
  # the bit of hash codes
  bit: 64
  # if true, the program

RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False. GPU not detected by pytorch

Python

Lines of Code : 2

License : Strong Copyleft (CC BY-SA 4.0)

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pytorch                   1.5.1               py3.6_cpu_0  [cpuonly]  pytorch

ModuleNotFoundError: No module named 'visdom' when importing visdom

Python

Lines of Code : 4

License : Strong Copyleft (CC BY-SA 4.0)

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python -m pip install --upgrade pip

python -m pip install visdom

OSError: [WinError 10013] An attempt was made to access a socket in a way forbidden by its access permissions

Python

Lines of Code : 2

License : Strong Copyleft (CC BY-SA 4.0)

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OSError: [WinError 10013] An attempt was made to access a socket in a way forbidden by its access permissions

conda create -n anaconda won't install full anaconda packages

Python

Lines of Code : 2

License : Strong Copyleft (CC BY-SA 4.0)

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conda config --remove channels conda-forge

Keras model.load_weights() error: ValueError: Invalid high library version bound (invalid high library version bound)

Python

Lines of Code : 2

License : Strong Copyleft (CC BY-SA 4.0)

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pip install --no-binary=h5py h5py

How to log epochs in Gensim's LdaModel

Python

Lines of Code : 4

License : Strong Copyleft (CC BY-SA 4.0)

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l =  gensim.models.callbacks.CoherenceMetric(corpus=common_corpus, logger='shell')

l =  gensim.models.callbacks.CoherenceMetric(corpus=common_corpus, coherence="u_mass", logger='shell')

How to get a completely clean python environment with miniconda?

Python

Lines of Code : 10

License : Strong Copyleft (CC BY-SA 4.0)

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jalazbe@DESKTOP:~$ conda activate Leaf

(Leaf) jalazbe@DESKTOP:~$

(Leaf) jalazbe@DESKTOP:~$ conda list

(Leaf) jalazbe@DESKTOP:~$ conda install name-of-library
# exa

Community Discussions

Trending Discussions on visdom

RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False. GPU not detected by pytorch

How do I specify a pip find-links option in a conda environment file?

QUESTION

RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False. GPU not detected by pytorch

Asked 2021-Mar-21 at 16:24

Having trouble with CUDA + Pytorch this is the error. I reinstalled CUDA and cudnn multiple times.

Conda env is detecting GPU but its giving errors with pytorch and certain cuda libraries. I tried with Cuda 10.1 and 10.0, and cudnn version 8 and 7.6.5, Added cuda to path and everything.

However anaconda is showing cuda tool kit 9.0 is installed, whilst I clearly installed 10.0, so I am not entirely sure what's the deal with that.

...

ANSWER

Answered 2021-Mar-20 at 10:44

From the list of libraries, it looks like you've installed CPU only version of the Pytorch.

Source https://stackoverflow.com/questions/66711799

QUESTION

How do I specify a pip find-links option in a conda environment file?

Asked 2020-Feb-26 at 09:17

I have a pip requirements file that includes specific cpu-only versions of torch and torchvision. I can use the following pip command to successfully install my requirements.

...

ANSWER

Answered 2020-Feb-26 at 09:17

Found the answer in the pip documentation here. I can add the find-links option to my requirements file, so my conda environment yaml file becomes

Source https://stackoverflow.com/questions/60410173

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

Vulnerabilities

No vulnerabilities reported

Install visdom

You can install using 'pip install visdom' or download it from GitHub, PyPI.
You can use visdom like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

Support for Lua Torch was deprecated following v0.1.8.4. If you'd like to use torch support, you'll need to download that release. You can follow the usage instructions there, but it is no longer officially supported.

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