xcit | Official code Cross-Covariance Image Transformer | Machine Learning library

by facebookresearch Python Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | xcit Summary

xcit is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Transformer applications. xcit has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

PyTorch implementation and pretrained models for XCiT models. See XCiT: Cross-Covariance Image Transformer. [arXiv] [Yannic Kilcher's video].

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Support

xcit has a low active ecosystem.

It has 613 star(s) with 50 fork(s). There are 17 watchers for this library.

It had no major release in the last 6 months.

There are 12 open issues and 16 have been closed. On average issues are closed in 28 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of xcit is current.

Quality

xcit has 0 bugs and 0 code smells.

Security

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

xcit code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

xcit 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.

Reuse

xcit releases are not available. You will need to build from source code and install.

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

Installation instructions, examples and code snippets are available.

It has 4377 lines of code, 134 functions and 58 files.

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

Top functions reviewed by kandi - BETA

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

Train one epoch
Log each object in iterable
Update the deque
Add a meter
Forward features
Apply embedding
Build a dataset
Build the transform
Saves to master
Checks if the main process is a main process
Return the rank of the distribution
Set the epoch
Returns the world size of the world
Argument parser
Return the path to the shared folder
Load checkpoint from a checkpoint
Parse command line arguments
Evaluate the model
Checks if the worker is a main process

Get all kandi verified functions for this library.

xcit Key Features

No Key Features are available at this moment for xcit.

xcit Examples and Code Snippets

No Code Snippets are available at this moment for xcit.

Community Discussions

Trending Discussions on xcit

Excluding a module from tycho-surefire-plugin

QUESTION

Excluding a module from tycho-surefire-plugin

Asked 2020-May-14 at 15:50

In my tycho test project, I have an optional transitive dependency that I need to exclude for the test execution to work. That transitive dependency is part of the same reactor build.

What I have tried:

...

ANSWER

Answered 2019-Sep-16 at 08:47

You can check the following link.

https://www.eclipse.org/tycho/sitedocs/tycho-surefire/tycho-surefire-plugin/test-mojo.html#excludes

You have to use exclude option.

Source https://stackoverflow.com/questions/57952046

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

Vulnerabilities

No vulnerabilities reported

Install xcit

First, clone the repo. Then, you can install the required packages including: Pytorch version 1.7.1, torchvision version 0.8.2 and Timm version 0.4.8. Download and extract the ImageNet dataset. Afterwards, set the --data-path argument to the corresponding extracted ImageNet path. For full details about all the available arguments, you can use.
COCO Object detection and Instance segmentation: XCiT Detection
ADE20k Semantic segmentation: XCiT Semantic Segmentation