yacs | YACS -- Yet Another Configuration System | Machine Learning library

 by   rbgirshick Python Version: 0.1.8 License: Apache-2.0

kandi X-RAY | yacs Summary

kandi X-RAY | yacs Summary

yacs is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. yacs has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install yacs' or download it from GitHub, PyPI.

YACS was created as a lightweight library to define and manage system configurations, such as those commonly found in software designed for scientific experimentation. These "configurations" typically cover concepts like hyperparameters used in training a machine learning model or configurable model hyperparameters, such as the depth of a convolutional neural network. Since you're doing science, reproducibility is paramount and thus you need a reliable way to serialize experimental configurations. YACS uses YAML as a simple, human readable serialization format. The paradigm is: your code + a YACS config for experiment E (+ external dependencies + hardware + other nuisance terms ...) = reproducible experiment E. While you might not be able to control everything, at least you can control your code and your experimental configuration. YACS is here to help you with that. YACS grew out of the experimental configuration systems used in: py-faster-rcnn and Detectron.
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            kandi-support Support

              yacs has a medium active ecosystem.
              It has 1125 star(s) with 90 fork(s). There are 15 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 20 open issues and 15 have been closed. On average issues are closed in 7 days. There are 7 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of yacs is 0.1.8

            kandi-Quality Quality

              yacs has 0 bugs and 4 code smells.

            kandi-Security Security

              yacs has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              yacs code analysis shows 0 unresolved vulnerabilities.
              There are 1 security hotspots that need review.

            kandi-License License

              yacs is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              yacs 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 are not available. Examples and code snippets are available.
              yacs saves you 281 person hours of effort in developing the same functionality from scratch.
              It has 679 lines of code, 56 functions and 8 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed yacs and discovered the below as its top functions. This is intended to give you an instant insight into yacs implemented functionality, and help decide if they suit your requirements.
            • Create a ConfigTree from a dictionary
            • Assert that a condition is true
            • Check if value is a valid type
            • Freeze the container
            • Set immutable state
            • Clears the container
            Get all kandi verified functions for this library.

            yacs Key Features

            No Key Features are available at this moment for yacs.

            yacs Examples and Code Snippets

            No Code Snippets are available at this moment for yacs.

            Community Discussions

            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

            pulling a git repo at a particular commit in python setup.py file
            Asked 2019-Mar-13 at 18:31

            I have a Python project where I am using the maskrcnn_benchmark project from facebook research.

            In my continuous integration script, I create a virtual environment where I install this project with thee following steps:

            ...

            ANSWER

            Answered 2019-Mar-13 at 16:46

            You can use dependency_links setup.py

            i.e.

            Source https://stackoverflow.com/questions/55146691

            QUESTION

            Change brightness on image with text on hover
            Asked 2018-Oct-25 at 08:00

            I have some images with text on them. I want to change the brightness of the images when hovered, without affecting the text.

            The solution I have now works except for one issue: when the cursor moves over the image, the brightness changes, but if the cursor then moves over the text on top of the image, the brightness changes back.

            How can I avoid this? I'm looking for a pure CSS solution, if possible.

            ...

            ANSWER

            Answered 2018-Oct-25 at 07:34

            You can add pointer-events:none to ignore the hover event on the text

            Source https://stackoverflow.com/questions/52983751

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

            Vulnerabilities

            No vulnerabilities reported

            Install yacs

            You can install using 'pip install yacs' or download it from GitHub, PyPI.
            You can use yacs 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

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            Install
          • PyPI

            pip install yacs

          • CLONE
          • HTTPS

            https://github.com/rbgirshick/yacs.git

          • CLI

            gh repo clone rbgirshick/yacs

          • sshUrl

            git@github.com:rbgirshick/yacs.git

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