【steal piano】GitHub偷情分析工具!

Overview

【steal piano】GitHub偷情分析工具!

你是否有这样的困扰,有一天你的仓库被很多人加了star,但是你却不知道这些人都是从哪来的?

别担心,GitHub偷情分析工具帮你轻松解决问题!

原理

GitHub偷情分析工具透过分析star的时间以及他们之间的follow关系,可以推测出每个star大概是被谁吸引过来的。

就是把所有仓库的star事件按时间排序,然后看看每个star的三天之内,那个人的follower有没有也来star。

样例

可以看到每个人直接加星的数量,以及每个人吸引来的间接加星的数量——

bobby285271 直接: 2 间接: 7
BeautyYuYanli 直接: 4 间接: 7
akemimadoka 直接: 1 间接: 7
cubercsl 直接: 1 间接: 7
LoRexxar 直接: 1 间接: 7
miaotony 直接: 1 间接: 7
solstice23 直接: 5 间接: 8
outloudvi 直接: 2 间接: 8
VergeDX 直接: 6 间接: 8
Naville 直接: 1 间接: 8
LaoshuBaby 直接: 6 间接: 9
wfjsw 直接: 1 间接: 9
kagurazakayashi 直接: 1 间接: 10
Co2333 直接: 5 间接: 10
kirainmoe 直接: 3 间接: 11
Ir1d 直接: 1 间接: 11
nekohasekai 直接: 3 间接: 12
Konano 直接: 1 间接: 12
mzdluo123 直接: 4 间接: 15
Enter-tainer 直接: 2 间接: 16
ccloli 直接: 4 间接: 16
b1f6c1c4 直接: 2 间接: 22
memset0 直接: 3 间接: 37
lz233 直接: 13 间接: 48
SCLeoX 直接: 14 间接: 49

可视化

./img.webp

使用方法

首先你需要1个Python3.6以上版本,然后pip install -r requirements.txt

接口是这样——

def ember(token, 我, days=365, save_path='1.png'): 
    ...
  • token: 你要自己去GitHub设置的Personal access tokens里注册一个,然后复制回来。(不需要加权限,用来提高GitHub访问频率的限制)

  • : 你的名字,比如RimoChan。

  • days: 扫描过去多少天内的star记录。

  • save_path: 保存可视化图片路径。

为什么是偷情???

因为找到GitHub上谁最喜欢你之后,你就可以去和她偷情了!

不说了不说了,我要去和SCLeoX偷情了,就这样,大家88。

Owner
黄巍
字节跳动首席吃点心员
黄巍
68 keypoint annotations for COFW test data

68 keypoint annotations for COFW test data This repository contains manually annotated 68 keypoints for COFW test data (original annotation of CFOW da

31 Dec 06, 2022
subpixel: A subpixel convnet for super resolution with Tensorflow

subpixel: A subpixel convolutional neural network implementation with Tensorflow Left: input images / Right: output images with 4x super-resolution af

Atrium LTS 2.1k Dec 23, 2022
Data manipulation and transformation for audio signal processing, powered by PyTorch

torchaudio: an audio library for PyTorch The aim of torchaudio is to apply PyTorch to the audio domain. By supporting PyTorch, torchaudio follows the

1.9k Dec 28, 2022
nextPARS, a novel Illumina-based implementation of in-vitro parallel probing of RNA structures.

nextPARS, a novel Illumina-based implementation of in-vitro parallel probing of RNA structures. Here you will find the scripts necessary to produce th

Jesse Willis 0 Jan 20, 2022
GPU-accelerated Image Processing library using OpenCL

pyclesperanto pyclesperanto is a python package for clEsperanto - a multi-language framework for GPU-accelerated image processing. clEsperanto uses Op

17 Dec 25, 2022
Does Oversizing Improve Prosumer Profitability in a Flexibility Market? - A Sensitivity Analysis using PV-battery System

Does Oversizing Improve Prosumer Profitability in a Flexibility Market? - A Sensitivity Analysis using PV-battery System The possibilities to involve

Babu Kumaran Nalini 0 Nov 19, 2021
Toolbox to analyze temporal context invariance of deep neural networks

PyTCI A toolbox that estimates the integration window of a sensory response using the "Temporal Context Invariance" paradigm (TCI). The TCI method Int

4 Oct 23, 2022
Learning to See by Looking at Noise

Learning to See by Looking at Noise This is the official implementation of Learning to See by Looking at Noise. In this work, we investigate a suite o

Manel Baradad Jurjo 82 Dec 24, 2022
Codebase for testing whether hidden states of neural networks encode discrete structures.

structural-probes Codebase for testing whether hidden states of neural networks encode discrete structures. Based on the paper A Structural Probe for

John Hewitt 349 Dec 17, 2022
AgML is a comprehensive library for agricultural machine learning

AgML is a comprehensive library for agricultural machine learning. Currently, AgML provides access to a wealth of public agricultural datasets for common agricultural deep learning tasks.

Plant AI and Biophysics Lab 1 Jul 07, 2022
Identifying a Training-Set Attack’s Target Using Renormalized Influence Estimation

Identifying a Training-Set Attack’s Target Using Renormalized Influence Estimation By: Zayd Hammoudeh and Daniel Lowd Paper: Arxiv Preprint Coming soo

Zayd Hammoudeh 2 Oct 08, 2022
CausaLM: Causal Model Explanation Through Counterfactual Language Models

CausaLM: Causal Model Explanation Through Counterfactual Language Models Authors: Amir Feder, Nadav Oved, Uri Shalit, Roi Reichart Abstract: Understan

Amir Feder 39 Jul 10, 2022
[arXiv22] Disentangled Representation Learning for Text-Video Retrieval

Disentangled Representation Learning for Text-Video Retrieval This is a PyTorch implementation of the paper Disentangled Representation Learning for T

Qiang Wang 49 Dec 18, 2022
Toolkit for collecting and applying prompts

PromptSource Promptsource is a toolkit for collecting and applying prompts to NLP datasets. Promptsource uses a simple templating language to programa

BigScience Workshop 998 Jan 03, 2023
An imperfect information game is a type of game with asymmetric information

DecisionHoldem An imperfect information game is a type of game with asymmetric information. Compared with perfect information game, imperfect informat

Decision AI 25 Dec 23, 2022
Soomvaar is the repo which 🏩 contains different collection of 👨‍💻🚀code in Python and 💫✨Machine 👬🏼 learning algorithms📗📕 that is made during 📃 my practice and learning of ML and Python✨💥

Soomvaar 📌 Introduction Soomvaar is the collection of various codes implement in machine learning and machine learning algorithms with python on coll

Felix-Ayush 42 Dec 30, 2022
Implementation of "DeepOrder: Deep Learning for Test Case Prioritization in Continuous Integration Testing".

DeepOrder Implementation of DeepOrder for the paper "DeepOrder: Deep Learning for Test Case Prioritization in Continuous Integration Testing". Project

6 Nov 07, 2022
Dataset VSD4K includes 6 popular categories: game, sport, dance, vlog, interview and city.

CaFM-pytorch ICCV ACCEPT Introduction of dataset VSD4K Our dataset VSD4K includes 6 popular categories: game, sport, dance, vlog, interview and city.

96 Jul 05, 2022
YOLOX-Paddle - A reproduction of YOLOX by PaddlePaddle

YOLOX-Paddle A reproduction of YOLOX by PaddlePaddle 数据集准备 下载COCO数据集,准备为如下路径 /ho

QuanHao Guo 6 Dec 18, 2022
an implementation of Revisiting Adaptive Convolutions for Video Frame Interpolation using PyTorch

revisiting-sepconv This is a reference implementation of Revisiting Adaptive Convolutions for Video Frame Interpolation [1] using PyTorch. Given two f

Simon Niklaus 59 Dec 22, 2022