yacs | YACS -- Yet Another Configuration System | Machine Learning library
kandi X-RAY | yacs Summary
kandi X-RAY | yacs Summary
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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Top functions reviewed by kandi - BETA
- 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
yacs Key Features
yacs Examples and Code Snippets
Community Discussions
Trending Discussions on yacs
QUESTION
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 10:44From the list of libraries, it looks like you've installed CPU only version of the Pytorch.
QUESTION
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 16:46You can use dependency_links
setup.py
i.e.
QUESTION
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 07:34You can add pointer-events:none
to ignore the hover event on the text
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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No vulnerabilities reported
Install yacs
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.
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