Some pre-commit hooks for OpenMMLab projects

Related tags

Deep Learningpre-commit-hooks
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.

Van 21 Dec 30, 2022
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

null 99 Oct 15, 2022
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

Web and Coding Club, IIT Bombay 29 Nov 8, 2022
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 (

Jared Wang 22 Feb 27, 2022
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

Kimio Kuramitsu 1 Dec 13, 2021
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.
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.

Neuraxle Pipelines Code Machine Learning Pipelines - The Right Way. Neuraxle is a Machine Learning (ML) library for building machine learning pipeline

Neuraxio 555 Dec 24, 2022
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

Shushrut Kumar 129 Dec 15, 2022
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.

svandenh 297 Dec 17, 2022
A list of multi-task learning papers and projects.

A list of multi-task learning papers and projects.

svandenh 84 Apr 27, 2021
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
GitHub Repository
The reference baseline of final exam for XMU machine learning course

Mini-NICO Baseline The baseline is a reference method for the final exam of machine learning course. Requirements Installation we use /python3.7 /torc

JoaquinChou 3 Dec 29, 2021
Deep Markov Factor Analysis (NeurIPS2021)

Deep Markov Factor Analysis (DMFA) Codes and experiments for deep Markov factor analysis (DMFA) model accepted for publication at NeurIPS2021: A. Farn

Sarah Ostadabbas 2 Dec 16, 2022
Speeding-Up Back-Propagation in DNN: Approximate Outer Product with Memory

Approximate Outer Product Gradient Descent with Memory Code for the numerical experiment of the paper Speeding-Up Back-Propagation in DNN: Approximate

2 Mar 02, 2022
METS/ALTO OCR enhancing tool by the National Library of Luxembourg (BnL)

Nautilus-OCR The National Library of Luxembourg (BnL) started its first initiative in digitizing newspapers, with layout recognition and OCR on articl

National Library of Luxembourg 36 Dec 05, 2022
Code for the paper Open Sesame: Getting Inside BERT's Linguistic Knowledge.

Open Sesame This repository contains the code for the paper Open Sesame: Getting Inside BERT's Linguistic Knowledge. Credits We built the project on t

9 Jul 24, 2022
PEPit is a package enabling computer-assisted worst-case analyses of first-order optimization methods.

PEPit: Performance Estimation in Python This open source Python library provides a generic way to use PEP framework in Python. Performance estimation

Baptiste 53 Nov 16, 2022
Encoding Causal Macrovariables

Encoding Causal Macrovariables Data Natural climate data ('El Nino') Self-generated data ('Simulated') Experiments Detecting macrovariables through th

Benedikt Höltgen 3 Jul 31, 2022
PolyTrack: Tracking with Bounding Polygons

PolyTrack: Tracking with Bounding Polygons Abstract In this paper, we present a novel method called PolyTrack for fast multi-object tracking and segme

Gaspar Faure 13 Sep 15, 2022
Official repository for "Orthogonal Projection Loss" (ICCV'21)

Orthogonal Projection Loss (ICCV'21) Kanchana Ranasinghe, Muzammal Naseer, Munawar Hayat, Salman Khan, & Fahad Shahbaz Khan Paper Link | Project Page

Kanchana Ranasinghe 83 Dec 26, 2022
ROS Basics and TurtleSim

Waypoint Follower Anna Garverick This package draws given waypoints, then waits for a service call with a start position to send the turtle to each wa

Anna Garverick 1 Dec 13, 2021
Densely Connected Search Space for More Flexible Neural Architecture Search (CVPR2020)

DenseNAS The code of the CVPR2020 paper Densely Connected Search Space for More Flexible Neural Architecture Search. Neural architecture search (NAS)

Jamin Fong 291 Nov 18, 2022
[ICCV 2021] Target Adaptive Context Aggregation for Video Scene Graph Generation

Target Adaptive Context Aggregation for Video Scene Graph Generation This is a PyTorch implementation for Target Adaptive Context Aggregation for Vide

Multimedia Computing Group, Nanjing University 44 Dec 14, 2022
EfficientNetv2 TensorRT int8

EfficientNetv2_TensorRT_int8 EfficientNetv2模型实现来自https://github.com/d-li14/efficientnetv2.pytorch 环境配置 ubuntu：18.04 cuda：11.0 cudnn：8.0 tensorrt：7

34 Apr 24, 2022
Official implementation of "Generating 3D Molecules for Target Protein Binding"

Generating 3D Molecules for Target Protein Binding This is the official implementation of the GraphBP method proposed in the following paper. Meng Liu

DIVE Lab, Texas A&M University 74 Dec 07, 2022
Aquarius - Enabling Fast, Scalable, Data-Driven Virtual Network Functions

Aquarius Aquarius - Enabling Fast, Scalable, Data-Driven Virtual Network Functions NOTE: We are currently going through the open-source process requir

Zhiyuan YAO 0 Jun 02, 2022
Transformer in Computer Vision

Transformer-in-Vision A paper list of some recent Transformer-based CV works. If you find some ignored papers, please open issues or pull requests. **

506 Dec 26, 2022
Matplotlib Image labeller for classifying images

mpl-image-labeller Use Matplotlib to label images for classification. Works anywhere Matplotlib does - from the notebook to a standalone gui! For more

Ian Hunt-Isaak 5 Sep 24, 2022
A library for graph deep learning research

Documentation | Paper [JMLR] | Tutorials | Benchmarks | Examples DIG: Dive into Graphs is a turnkey library for graph deep learning research. Why DIG?

DIVE Lab, Texas A&M University 1.3k Jan 01, 2023
the code for paper "Energy-Based Open-World Uncertainty Modeling for Confidence Calibration"

EOW-Softmax This code is for the paper "Energy-Based Open-World Uncertainty Modeling for Confidence Calibration". Accepted by ICCV21. Usage Commnd exa

Yezhen Wang 36 Dec 02, 2022
Autoencoders pretraining using clustering

Autoencoders pretraining using clustering

IITiS PAN 2 Dec 16, 2021