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
This repository contains a Ruby API for utilizing TensorFlow.

tensorflow.rb Description This repository contains a Ruby API for utilizing TensorFlow. Linux CPU Linux GPU PIP Mac OS CPU Not Configured Not Configur

somatic labs 825 Dec 26, 2022
Unofficial Pytorch Lightning implementation of Contrastive Syn-to-Real Generalization (ICLR, 2021)

Unofficial Pytorch Lightning implementation of Contrastive Syn-to-Real Generalization (ICLR, 2021)

Gyeongjae Choi 17 Sep 23, 2021
The pure and clear PyTorch Distributed Training Framework.

The pure and clear PyTorch Distributed Training Framework. Introduction Requirements and Usage Dependency Dataset Basic Usage Slurm Cluster Usage Base

WILL LEE 208 Dec 20, 2022
ICON: Implicit Clothed humans Obtained from Normals

ICON: Implicit Clothed humans Obtained from Normals arXiv, December 2021. Yuliang Xiu · Jinlong Yang · Dimitrios Tzionas · Michael J. Black Table of C

Yuliang Xiu 1.1k Dec 30, 2022
Rotation Robust Descriptors

RoRD Rotation-Robust Descriptors and Orthographic Views for Local Feature Matching Project Page | Paper link Evaluation and Datasets MMA : Training on

Udit Singh Parihar 25 Nov 15, 2022
Neural Koopman Lyapunov Control

Neural-Koopman-Lyapunov-Control Code for our paper: Neural Koopman Lyapunov Control Requirements dReal4: v4.19.02.1 PyTorch: 1.2.0 The learning framew

Vrushabh Zinage 6 Dec 24, 2022
Code for the prototype tool in our paper "CoProtector: Protect Open-Source Code against Unauthorized Training Usage with Data Poisoning".

CoProtector Code for the prototype tool in our paper "CoProtector: Protect Open-Source Code against Unauthorized Training Usage with Data Poisoning".

Zhensu Sun 1 Oct 26, 2021
TilinGNN: Learning to Tile with Self-Supervised Graph Neural Network (SIGGRAPH 2020)

TilinGNN: Learning to Tile with Self-Supervised Graph Neural Network (SIGGRAPH 2020) About The goal of our research problem is illustrated below: give

59 Dec 09, 2022
Lightweight plotting to the terminal. 4x resolution via Unicode.

Uniplot Lightweight plotting to the terminal. 4x resolution via Unicode. When working with production data science code it can be handy to have plotti

Olav Stetter 203 Dec 29, 2022
Implementation of Google Brain's WaveGrad high-fidelity vocoder

WaveGrad Implementation (PyTorch) of Google Brain's high-fidelity WaveGrad vocoder (paper). First implementation on GitHub with high-quality generatio

Ivan Vovk 363 Dec 27, 2022
Reverse engineering Rosetta 2 in M1 Mac

Project Champollion About this project Rosetta 2 is an emulation mechanism to run the x86_64 applications on Arm-based Apple Silicon with Ahead-Of-Tim

FFRI Security, Inc. 258 Jan 07, 2023
Source Code of NeurIPS21 paper: Recognizing Vector Graphics without Rasterization

YOLaT-VectorGraphicsRecognition This repository is the official PyTorch implementation of our NeurIPS-2021 paper: Recognizing Vector Graphics without

Microsoft 49 Dec 20, 2022
Steer OpenAI's Jukebox with Music Taggers

TagBox Steer OpenAI's Jukebox with Music Taggers! The closest thing we have to VQGAN+CLIP for music! Unsupervised Source Separation By Steering Pretra

Ethan Manilow 34 Nov 02, 2022
Data and code for ICCV 2021 paper Distant Supervision for Scene Graph Generation.

Distant Supervision for Scene Graph Generation Data and code for ICCV 2021 paper Distant Supervision for Scene Graph Generation. Introduction The pape

THUNLP 23 Dec 31, 2022
Instant Real-Time Example-Based Style Transfer to Facial Videos

FaceBlit: Instant Real-Time Example-Based Style Transfer to Facial Videos The official implementation of FaceBlit: Instant Real-Time Example-Based Sty

Aneta Texler 131 Dec 19, 2022
Federated Deep Reinforcement Learning for the Distributed Control of NextG Wireless Networks.

FDRL-PC-Dyspan Federated Deep Reinforcement Learning for the Distributed Control of NextG Wireless Networks. This repository contains the entire code

Peyman Tehrani 17 Nov 18, 2022
The code for MM2021 paper "Multi-Level Counterfactual Contrast for Visual Commonsense Reasoning"

The Code for MM2021 paper "Multi-Level Counterfactual Contrast for Visual Commonsense Reasoning" Setting up and using the repo Get the dataset. Follow

4 Apr 20, 2022
Plug and play transformer you can find network structure and official complete code by clicking List

Plug-and-play Module Plug and play transformer you can find network structure and official complete code by clicking List The following is to quickly

8 Mar 27, 2022
This is an official source code for implementation on Extensive Deep Temporal Point Process

Extensive Deep Temporal Point Process This is an official source code for implementation on Extensive Deep Temporal Point Process, which is composed o

Haitao Lin 8 Aug 15, 2022
A collection of implementations of deep domain adaptation algorithms

Deep Transfer Learning on PyTorch This is a PyTorch library for deep transfer learning. We divide the code into two aspects: Single-source Unsupervise

Yongchun Zhu 647 Jan 03, 2023