Split your patch similarly to `git add -p` but supporting multiple buckets

Overview

split-patch.py

asciicast

This is git add -p on steroids for patches.

Given a my.patch you can run

./split-patch.py my.patch

You can choose in which bucket to put each hunk.

At any moment, you can quit and my.patch will contain unassigned hunks while all the other hunks will be moved to $BUCKET_NAME.patch.

git-split-commit

The git-split-commit command uses split-patch.py to split the HEAD commit in multiple commits.

# Create backup tag
git tag backup-$(date +'%s')

# Split HEAD
./git-split-commit

By default, it first git revert HEAD and then commit all the patches resulting from the split.

If you don't care about the original commit + revert commit pair, you can run:

./git-split-commit --reset

Usage in interactive rebase

You can use git-split-commit during interactive rebase, assuming you have it in $PATH:

git rebase -i HEAD^^^^

Your $EDITOR will pop up with a series of pick commands. After the commit you want to split add:

exec git split-commit
Pytorch codes for Feature Transfer Learning for Face Recognition with Under-Represented Data

FTLNet_Pytorch Pytorch codes for Feature Transfer Learning for Face Recognition with Under-Represented Data 1. Introduction This repo is an unofficial

1 Nov 04, 2020
Conversion between units used in magnetism

convmag Conversion between various units used in magnetism The conversions between base units available are: T - G : 1e4

0 Jul 15, 2021
The-Secret-Sharing-Schemes - This interactive script demonstrates the Secret Sharing Schemes algorithm

The-Secret-Sharing-Schemes This interactive script demonstrates the Secret Shari

Nishaant Goswamy 1 Jan 02, 2022
A simple python module to generate anchor (aka default/prior) boxes for object detection tasks.

PyBx WIP A simple python module to generate anchor (aka default/prior) boxes for object detection tasks. Calculated anchor boxes are returned as ndarr

thatgeeman 4 Dec 15, 2022
Image-to-Image Translation with Conditional Adversarial Networks (Pix2pix) implementation in keras

pix2pix-keras Pix2pix implementation in keras. Original paper: Image-to-Image Translation with Conditional Adversarial Networks (pix2pix) Paper Author

William Falcon 141 Dec 30, 2022
PyTorch implementation of MulMON

MulMON This repository contains a PyTorch implementation of the paper: Learning Object-Centric Representations of Multi-object Scenes from Multiple Vi

NanboLi 16 Nov 03, 2022
Official implementation of "Learning Proposals for Practical Energy-Based Regression", 2021.

ebms_proposals Official implementation (PyTorch) of the paper: Learning Proposals for Practical Energy-Based Regression, 2021 [arXiv] [project]. Fredr

Fredrik Gustafsson 10 Oct 22, 2022
Distributionally robust neural networks for group shifts

Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization This code implements the g

151 Dec 25, 2022
code for our ECCV 2020 paper "A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation"

Code for our ECCV (2020) paper A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation. Prerequisites: python == 3.6.8 pytorch ==1.1.0

32 Nov 27, 2022
Pure python PEMDAS expression solver without using built-in eval function

pypemdas Pure python PEMDAS expression solver without using built-in eval function. Supports nested parenthesis. Supported operators: + - * / ^ Exampl

1 Dec 22, 2021
Code for NeurIPS 2021 paper "Curriculum Offline Imitation Learning"

README The code is based on the ILswiss. To run the code, use python run_experiment.py --nosrun -e your YAML file -g gpu id Generally, run_experim

ApexRL 12 Mar 19, 2022
Housing Price Prediction

This project aim was to predict the price of houses in the Boston area during the great financial crisis through regression, as well as classify houses into different quality categories according to

Florian Klement 1 Jan 27, 2022
Portfolio analytics for quants, written in Python

QuantStats: Portfolio analytics for quants QuantStats Python library that performs portfolio profiling, allowing quants and portfolio managers to unde

Ran Aroussi 2.7k Jan 08, 2023
Self-Supervised CNN-GCN Autoencoder

GCNDepth Self-Supervised CNN-GCN Autoencoder GCNDepth: Self-supervised monocular depth estimation based on graph convolutional network To be published

53 Dec 14, 2022
Full Stack Deep Learning Labs

Full Stack Deep Learning Labs Welcome! Project developed during lab sessions of the Full Stack Deep Learning Bootcamp. We will build a handwriting rec

Full Stack Deep Learning 1.2k Dec 31, 2022
Optimizing Value-at-Risk and Conditional Value-at-Risk of Black Box Functions with Lacing Values (LV)

BayesOpt-LV Optimizing Value-at-Risk and Conditional Value-at-Risk of Black Box Functions with Lacing Values (LV) About This repository contains the s

1 Nov 11, 2021
An image classification app boilerplate to serve your deep learning models asap!

Image 🖼 Classification App Boilerplate Have you been puzzled by tons of videos, blogs and other resources on the internet and don't know where and ho

Smaranjit Ghose 27 Oct 06, 2022
This code uses generative adversarial networks to generate diverse task allocation plans for Multi-agent teams.

Mutli-agent task allocation This code uses generative adversarial networks to generate diverse task allocation plans for Multi-agent teams. To change

Biorobotics Lab 5 Oct 12, 2022
Transfer SemanticKITTI labeles into other dataset/sensor formats.

LiDAR-Transfer Transfer SemanticKITTI labeles into other dataset/sensor formats. Content Convert datasets (NUSCENES, FORD, NCLT) to KITTI format Minim

Photogrammetry & Robotics Bonn 64 Nov 21, 2022
Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.

Real-ESRGAN Colab Demo for Real-ESRGAN . Portable Windows executable file. You can find more information here. Real-ESRGAN aims at developing Practica

Xintao 17.2k Jan 02, 2023