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
Pretraining on Dynamic Graph Neural Networks

Pretraining on Dynamic Graph Neural Networks Our article is PT-DGNN and the code is modified based on GPT-GNN Requirements python 3.6 Ubuntu 18.04.5 L

7 Dec 17, 2022
Personalized Transfer of User Preferences for Cross-domain Recommendation (PTUPCDR)

Personalized Transfer of User Preferences for Cross-domain Recommendation (PTUPCDR) This is the official implementation of our paper Personalized Tran

Yongchun Zhu 81 Dec 29, 2022
Temporal Dynamic Convolutional Neural Network for Text-Independent Speaker Verification and Phonemetic Analysis

TDY-CNN for Text-Independent Speaker Verification Official implementation of Temporal Dynamic Convolutional Neural Network for Text-Independent Speake

Seong-Hu Kim 16 Oct 17, 2022
Azion the best solution of Edge Computing in the world.

Azion Edge Function docker action Create or update an Edge Functions on Azion Edge Nodes. The domain name is the key for decision to a create or updat

8 Jul 16, 2022
Optimizing DR with hard negatives and achieving SOTA first-stage retrieval performance on TREC DL Track (SIGIR 2021 Full Paper).

Optimizing Dense Retrieval Model Training with Hard Negatives Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma This repo provi

Jingtao Zhan 99 Dec 27, 2022
Implementation of popular bandit algorithms in batch environments.

batch-bandits Implementation of popular bandit algorithms in batch environments. Source code to our paper "The Impact of Batch Learning in Stochastic

Danil Provodin 2 Sep 11, 2022
This is an official implementation of the paper "Distance-aware Quantization", accepted to ICCV2021.

PyTorch implementation of DAQ This is an official implementation of the paper "Distance-aware Quantization", accepted to ICCV2021. For more informatio

CV Lab @ Yonsei University 36 Nov 04, 2022
A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling"

SelfGNN A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which will appear in Th

Zekarias Tilahun 24 Jun 21, 2022
implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks

YOLOR implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks To reproduce the results in the paper, please us

Kin-Yiu, Wong 1.8k Jan 04, 2023
Plugin adapted from Ultralytics to bring YOLOv5 into Napari

napari-yolov5 Plugin adapted from Ultralytics to bring YOLOv5 into Napari. Training and detection can be done using the GUI. Training dataset must be

2 May 05, 2022
code and models for "Laplacian Pyramid Reconstruction and Refinement for Semantic Segmentation"

Laplacian Pyramid Reconstruction and Refinement for Semantic Segmentation This repository contains code and models for the method described in: Golnaz

55 Jun 18, 2022
A machine learning package for streaming data in Python. The other ancestor of River.

scikit-multiflow is a machine learning package for streaming data in Python. creme and scikit-multiflow are merging into a new project called River. W

670 Dec 30, 2022
SegTransVAE: Hybrid CNN - Transformer with Regularization for medical image segmentation

SegTransVAE: Hybrid CNN - Transformer with Regularization for medical image segmentation This repo is the official implementation for SegTransVAE. Seg

Nguyen Truong Hai 4 Aug 04, 2022
PyTorch implementation of "Learn to Dance with AIST++: Music Conditioned 3D Dance Generation."

Learn to Dance with AIST++: Music Conditioned 3D Dance Generation. Installation pip install -r requirements.txt Prepare Dataset bash data/scripts/pre

Zj Li 8 Sep 07, 2021
[ICLR 2021] Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization

Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization Kaidi Cao, Yining Chen, Junwei Lu, Nikos Arechiga, Adrien Gaidon, Tengyu Ma

Kaidi Cao 29 Oct 20, 2022
Fast and Context-Aware Framework for Space-Time Video Super-Resolution (VCIP 2021)

Fast and Context-Aware Framework for Space-Time Video Super-Resolution Preparation Dependencies PyTorch 1.2.0 CUDA 10.0 DCNv2 cd model/DCNv2 bash make

Xueheng Zhang 1 Mar 29, 2022
This repository is related to an Arabic tutorial, within the tutorial we discuss the common data structure and algorithms and their worst and best case for each, then implement the code using Python.

Data Structure and Algorithms with Python This repository is related to the Arabic tutorial here, within the tutorial we discuss the common data struc

Mohamed Ayman 33 Dec 02, 2022
We will see a basic program that is basically a hint to brute force attack to crack passwords. In other words, we will make a program to Crack Any Password Using Python. Show some ❤️ by starring this repository!

Crack Any Password Using Python We will see a basic program that is basically a hint to brute force attack to crack passwords. In other words, we will

Ananya Chatterjee 11 Dec 03, 2022
A Re-implementation of the paper "A Deep Learning Framework for Character Motion Synthesis and Editing"

What is This This is a simple re-implementation of the paper "A Deep Learning Framework for Character Motion Synthesis and Editing"(1). Only Sections

102 Dec 14, 2022