Some pre-commit hooks for OpenMMLab projects

Overview

pre-commit-hooks

Some pre-commit hooks for OpenMMLab projects.

Using pre-commit-hooks with pre-commit

Add this to your .pre-commit-config.yaml

-   repo: https://github.com/open-mmlab/pre-commit-hooks
    rev: v0.1.0  # Use the ref you want to point at
    hooks:
    -   id: check-algo-readme
    -   id: check-copyright
        args: ["dir_to_check"]  # replace the dir_to_check with your expected directory to check

Hooks available

say-hello

A template to show how to implement a pre-commit hook

check-algo-readme

Check whether the abstract and icon exist in the algorithm readme.

  • --debug - print details of abstract and icon in dict format.
  • --dry-run - just dry run, igonre failed use case.
  • --model-index ${MODEL_INDEX} - custom model-index file path.

check-copyright

Check whether the code contains copyright

  • includes - directory to add copyright.
  • --excludes - exclude directory.
  • --suffixes - copyright will be added to files with suffix.
You might also like...
FIRA: Fine-Grained Graph-Based Code Change Representation for Automated Commit Message Generation

FIRA is a learning-based commit message generation approach, which first represents code changes via fine-grained graphs and then learns to generate commit messages automatically.

List of all dependencies affected by node-ipc malicious commit
List of all dependencies affected by node-ipc malicious commit

node-ipc-dependencies-list List of all dependencies affected by node-ipc malicious commit as of 17/3/2022 - 19/3/2022 (timestamp) Please improve upon

Checkout some cool self-projects you can try your hands on to curb your boredom this December!

SoC-Winter Checkout some cool self-projects you can try your hands on to curb your boredom this December! These are short projects that you can do you

PyTorch implementation of the Transformer in Post-LN (Post-LayerNorm) and Pre-LN (Pre-LayerNorm).
PyTorch implementation of the Transformer in Post-LN (Post-LayerNorm) and Pre-LN (Pre-LayerNorm).

Transformer-PyTorch A PyTorch implementation of the Transformer from the paper Attention is All You Need in both Post-LN (Post-LayerNorm) and Pre-LN (

Codes to pre-train T5 (Text-to-Text Transfer Transformer) models pre-trained on Japanese web texts

t5-japanese Codes to pre-train T5 (Text-to-Text Transfer Transformer) models pre-trained on Japanese web texts. The following is a list of models that

A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right abstractions and design patterns to properly do AutoML. Let your pipeline steps have hyperparameter spaces. Enable checkpoints to cut duplicate calculations. Go from research to production environment easily.
All the essential resources and template code needed to understand and practice data structures and algorithms in python with few small projects to demonstrate their practical application.

Data Structures and Algorithms Python INDEX 1. Resources - Books Data Structures - Reema Thareja competitiveCoding Big-O Cheat Sheet DAA Syllabus Inte

A list of multi-task learning papers and projects.

This page contains a list of papers on multi-task learning for computer vision. Please create a pull request if you wish to add anything. If you are interested, consider reading our recent survey paper.

A list of multi-task learning papers and projects.

A list of multi-task learning papers and projects.

Comments
  • [Feature] Add remove_eol_characters hook

    [Feature] Add remove_eol_characters hook

    This PR adds a new script/pre-commit-hook, named remove-improper-eol-in-cn-docs.

    The script aims at resolving extra whitespaces in Chinese docs, which is a long-standing HTML issue as discussed here.

    To solve the issue, this script finds and removes end_of_line characters which split natural Chinese paragraphs. For example,

    这是一个, 像诗一样的 测试

    will be changed to

    这是一个,像诗一样的测试

    However, the following cases stay unchanged:

    • Docs written in English

    This is, a poem-like test

    • Natural paragraphs (split by 2+ eol characters in Markdown)

    这是一个

    测试

    opened by C1rN09 2
  • Add an option to allow files can not be found

    Add an option to allow files can not be found

    Modify .pre-commit-config.yaml with the following config to test this hook.

      - repo: https://github.com/zhouzaida/pre-commit-hooks-1
        rev: 8dd4395  # Use the ref you want to point at
        hooks:
        -   id: check-copyright
            args: ["dir_to_check", "not-found-dir", "--ignore-file-not-found-error"] 
    
    opened by zhouzaida 0
  • Upgrade the version of isort

    Upgrade the version of isort

    Motivation

    https://github.com/open-mmlab/mmflow/pull/87

    Upgrade the version of isort.

    Modification

    • Remove seed-isort-config in pre-commit hook
    • Upgrade isort to v5.10.1 (latest version)
    • Replace known_standard_library with extra_standard_library
    opened by zhouzaida 0
  • [Feature] Support checking model-index.yml

    [Feature] Support checking model-index.yml

    Modify .pre-commit-config.yaml with the following config to test this hook.

      - repo: https://github.com/zhouzaida/pre-commit-hooks-1
        rev: 0672dd0  # Use the ref you want to point at
        hooks:
          - id: check-model-index
            args: ["model-index.yml"]  # replace the dir_to_check with your expected directory to check
            additional_dependencies:
              - cerberus
    

    In addition, since YAML does not support tuple type, the resolution field in a metafile is recognized as a string, so fix this type to be a list. You can use the following regular expression global replacement in vs code

    • resolution: \(([0-9]*), ([0-9]*)\)
    • resolution: [$1, $2]

    image

    opened by zhouzaida 0
Releases(v0.4.0)
Owner
OpenMMLab
OpenMMLab
Accelerated Multi-Modal MR Imaging with Transformers

Accelerated Multi-Modal MR Imaging with Transformers Dependencies numpy==1.18.5 scikit_image==0.16.2 torchvision==0.8.1 torch==1.7.0 runstats==1.8.0 p

54 Dec 16, 2022
NeuralDiff: Segmenting 3D objects that move in egocentric videos

NeuralDiff: Segmenting 3D objects that move in egocentric videos Project Page | Paper + Supplementary | Video About This repository contains the offic

Vadim Tschernezki 14 Dec 05, 2022
Code for ICCV 2021 paper Graph-to-3D: End-to-End Generation and Manipulation of 3D Scenes using Scene Graphs

Graph-to-3D This is the official implementation of the paper Graph-to-3d: End-to-End Generation and Manipulation of 3D Scenes Using Scene Graphs | arx

Helisa Dhamo 33 Jan 06, 2023
(ICCV 2021) ProHMR - Probabilistic Modeling for Human Mesh Recovery

ProHMR - Probabilistic Modeling for Human Mesh Recovery Code repository for the paper: Probabilistic Modeling for Human Mesh Recovery Nikos Kolotouros

Nikos Kolotouros 209 Dec 13, 2022
[Nature Machine Intelligence' 21] "Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence"

[UCADI] COVID-19 Diagnosis With Federated Learning Intro We developed a Federated Learning (FL) Framework for global researchers to collaboratively tr

HUST EIC AI-LAB 30 Dec 12, 2022
Official DGL implementation of "Rethinking High-order Graph Convolutional Networks"

SE Aggregation This is the implementation for Rethinking High-order Graph Convolutional Networks. Here we show the codes for citation networks as an e

Tianqi Zhang (张天启) 32 Jul 19, 2022
A new GCN model for Point Cloud Analyse

Pytorch Implementation of PointNet and PointNet++ This repo is implementation for VA-GCN in pytorch. Classification (ModelNet10/40) Data Preparation D

12 Feb 02, 2022
Retinal vessel segmentation based on GT-UNet

Retinal vessel segmentation based on GT-UNet Introduction This project is a retinal blood vessel segmentation code based on UNet-like Group Transforme

Kent0n 27 Dec 18, 2022
Edison AT is software Depression Assistant personal.

Edison AT Edison AT is software / program Depression Assistant personal. Feature: Analyze emotional real-time from face. Audio Edison(Comingsoon relea

Ananda Rauf 2 Apr 24, 2022
A library to inspect itermediate layers of PyTorch models.

A library to inspect itermediate layers of PyTorch models. Why? It's often the case that we want to inspect intermediate layers of a model without mod

archinet.ai 380 Dec 28, 2022
TabNet for fastai

TabNet for fastai This is an adaptation of TabNet (Attention-based network for tabular data) for fastai (=2.0) library. The original paper https://ar

Mikhail Grankin 116 Oct 21, 2022
Random Forests for Regression with Missing Entries

Random Forests for Regression with Missing Entries These are specific codes used in the article: On the Consistency of a Random Forest Algorithm in th

Irving Gómez-Méndez 1 Nov 15, 2021
Intro-to-dl - Resources for "Introduction to Deep Learning" course.

Introduction to Deep Learning course resources https://www.coursera.org/learn/intro-to-deep-learning Running on Google Colab (tested for all weeks) Go

Advanced Machine Learning specialisation by HSE 761 Dec 24, 2022
MaRS - a recursive filtering framework that allows for truly modular multi-sensor integration

The Modular and Robust State-Estimation Framework, or short, MaRS, is a recursive filtering framework that allows for truly modular multi-sensor integration

Control of Networked Systems - University of Klagenfurt 143 Dec 29, 2022
Ansible Automation Example: JSNAPY PRE/POST Upgrade Validation

Ansible Automation Example: JSNAPY PRE/POST Upgrade Validation Overview This example will show how to validate the status of our firewall before and a

Calvin Remsburg 1 Jan 07, 2022
Tutorial materials for Part of NSU Intro to Deep Learning with PyTorch.

Intro to Deep Learning Materials are part of North South University (NSU) Intro to Deep Learning with PyTorch workshop series. (Slides) Related materi

Hasib Zunair 9 Jun 08, 2022
Official repository for Jia, Raghunathan, Göksel, and Liang, "Certified Robustness to Adversarial Word Substitutions" (EMNLP 2019)

Certified Robustness to Adversarial Word Substitutions This is the official GitHub repository for the following paper: Certified Robustness to Adversa

Robin Jia 38 Oct 16, 2022
✨✨✨An awesome open source toolbox for stereo matching.

OpenStereo This is an awesome open source toolbox for stereo matching. Supported Methods: BM SGM(T-PAMI'07) GCNet(ICCV'17) PSMNet(CVPR'18) StereoNet(E

Wang Qingyu 6 Nov 04, 2022
Predicting Tweet Sentiment Maching Learning and streamlit

Predicting-Tweet-Sentiment-Maching-Learning-and-streamlit (I prefere using Visual Studio Code ) Open the folder in VS Code Run the first cell in requi

1 Nov 20, 2021
This program creates a formatted excel file which highlights the undervalued stock according to Graham's number.

Over-and-Undervalued-Stocks Of Nepse Using Graham's Number Scrap the latest data using different websites and creates a formatted excel file that high

6 May 03, 2022