A collection of scripts I developed for personal and working projects.

Overview

A collection of scripts I developed for personal and working projects

v1.0 license Python 3.8 Bash

Table of contents

Introduction

This repository contains some scripts I write for other personal and working projects. I keep them here for two reasons: first, to keep them easily accessible to me in case of the needing to retrieve some parts of code; secondly, to let everybody accessing them freely.

If you want to use one of my scripts please cite them with this template citation file.

All my posted scripts are and will stay free, but if you want to support me with a donation it would be really appreciated!

Buy Me A Coffee

Repository diagram structure

my-scripts/
├── scripts/
│   ├── python/
│   │   ├── data analysis/
│   │   │   ├── impact parameters/
│   │   │   │   ├── compare_plots.py
│   │   │   │   ├── impact_parameters_1D.py
│   │   │   │   ├── impact_parameters_1D.py
│   │   │   ├── WbWb/
│   │   │   │   ├── OverlapSelections.py
│   ├── bash/
│   │   ├── installation/
│   │   │   ├── install.sh
│   │   │   ├── uninstall.sh
│   │   │   ├── update.sh
│   │   ├── debugging/
│   │   │   ├── debug.sh
├── img/
├── README.mc
├── LICENSE/

List of scripts

python

  • impact_parameters_1D.py: script used to produce 1D impact parameters plots, using the pyROOT framework, for some of my master thesis studies (see Appendix A).

  • impact_parameters_2D.py: script used to produce 2D impact parameters plots, using the pyROOT framework, for some of my master thesis studies (see Appendix A).

  • compare_plots.py: script used to compare impact parameters plots produced with impact_parameters_2D.py and impact_parameters_1D.py scripts, using the pyROOT framework.

  • OverlapSelections.py: script used to produce unfolding plots with overlapped b-tagging selections for each systematic. This script is produced with the pyROOT framework and is used in the ATLAS WbWb analysis.

    NOTE on the usage: if this script is used with ./OverlapSelections command it will produce overlapped plots for each selection of the selections dict. If it is used instead with the option -o [selection_name], it will produce a plot with the [selection_name] selection modified (changes are given in the input file) and overlaps it to the real [selection_name].

bash

  • debug.sh: script used to debug C++ code with Valgrind and cppcheck.

    More information about how to use this script can be found here

  • install.sh: script used to install headers and libraries into the system.

  • uninstall.sh: script used to uninstall headers and libraries into the system.

  • update.sh: script used to update a repository.

You might also like...
Personal implementation of paper "Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval"

Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval This repo provides personal implementation of paper Approximate Ne

Edison AT is software Depression Assistant personal.
Edison AT is software Depression Assistant personal.

Edison AT Edison AT is software / program Depression Assistant personal. Feature: Analyze emotional real-time from face. Audio Edison(Comingsoon relea

Addon and nodes for working with structural biology and molecular data in Blender.
Addon and nodes for working with structural biology and molecular data in Blender.

Molecular Nodes 🧬 🔬 💻 Buy Me a Coffee to Keep Development Going! Join a Community of Blender SciVis People! What is Molecular Nodes? Molecular Node

PassAPI is a password generator in hash format and fully developed in Python, with the aim of teaching how to handle and build
PassAPI is a password generator in hash format and fully developed in Python, with the aim of teaching how to handle and build

simple, elegant and safe Introduction PassAPI is a password generator in hash format and fully developed in Python, with the aim of teaching how to ha

Tool for working with Y-chromosome data from YFull and FTDNA

ycomp ycomp is a tool for working with Y-chromosome data from YFull and FTDNA. Run ycomp -h for information on how to use the program. Installation Th

MacroTools provides a library of tools for working with Julia code and expressions.

MacroTools.jl MacroTools provides a library of tools for working with Julia code and expressions. This includes a powerful template-matching system an

Working demo of the Multi-class and Anomaly classification model using the CLIP feature space
Working demo of the Multi-class and Anomaly classification model using the CLIP feature space

👁️ Hindsight AI: Crime Classification With Clip About For Educational Purposes Only This is a recursive neural net trained to classify specific crime

An efficient and effective learning to rank algorithm by mining information across ranking candidates. This repository contains the tensorflow implementation of SERank model. The code is developed based on TF-Ranking.
An efficient and effective learning to rank algorithm by mining information across ranking candidates. This repository contains the tensorflow implementation of SERank model. The code is developed based on TF-Ranking.

SERank An efficient and effective learning to rank algorithm by mining information across ranking candidates. This repository contains the tensorflow

This is a Machine Learning Based Hand Detector Project, It Uses Machine Learning Models and Modules Like Mediapipe, Developed By Google!

Machine Learning Hand Detector This is a Machine Learning Based Hand Detector Project, It Uses Machine Learning Models and Modules Like Mediapipe, Dev

Releases(1.2.1)
Owner
Gianluca Bianco
PhD student in particle physics at the University of Bologna and member of the CERN ATLAS experiment. Passionate about coding (C++ in particular)
Gianluca Bianco
MoViNets PyTorch implementation: Mobile Video Networks for Efficient Video Recognition;

MoViNet-pytorch Pytorch unofficial implementation of MoViNets: Mobile Video Networks for Efficient Video Recognition. Authors: Dan Kondratyuk, Liangzh

189 Dec 20, 2022
code for our BMVC 2021 paper "HCV: Hierarchy-Consistency Verification for Incremental Implicitly-Refined Classification"

HCV_IIRC code for our BMVC 2021 paper HCV: Hierarchy-Consistency Verification for Incremental Implicitly-Refined Classification by Kai Wang, Xialei Li

kai wang 13 Oct 03, 2022
Data from "HateCheck: Functional Tests for Hate Speech Detection Models" (Röttger et al., ACL 2021)

In this repo, you can find the data from our ACL 2021 paper "HateCheck: Functional Tests for Hate Speech Detection Models". "test_suite_cases.csv" con

Paul Röttger 43 Nov 11, 2022
Python scripts for performing stereo depth estimation using the MobileStereoNet model in Tensorflow Lite.

TFLite-MobileStereoNet Python scripts for performing stereo depth estimation using the MobileStereoNet model in Tensorflow Lite. Stereo depth estimati

Ibai Gorordo 4 Feb 14, 2022
Human-Pose-and-Motion History

Human Pose and Motion Scientist Approach Eadweard Muybridge, The Galloping Horse Portfolio, 1887 Etienne-Jules Marey, Descent of Inclined Plane, Chron

Daito Manabe 47 Dec 16, 2022
OneShot Learning-based hotword detection.

EfficientWord-Net Hotword detection based on one-shot learning Home assistants require special phrases called hotwords to get activated (eg:"ok google

ANT-BRaiN 102 Dec 25, 2022
Solving SMPL/MANO parameters from keypoint coordinates.

Minimal-IK A simple and naive inverse kinematics solver for MANO hand model, SMPL body model, and SMPL-H body+hand model. Briefly, given joint coordin

Yuxiao Zhou 305 Dec 30, 2022
Official implementation of "Refiner: Refining Self-attention for Vision Transformers".

RefinerViT This repo is the official implementation of "Refiner: Refining Self-attention for Vision Transformers". The repo is build on top of timm an

101 Dec 29, 2022
A Python multilingual toolkit for Sentiment Analysis and Social NLP tasks

pysentimiento: A Python toolkit for Sentiment Analysis and Social NLP tasks A Transformer-based library for SocialNLP classification tasks. Currently

298 Jan 07, 2023
Using pretrained GROVER to extract the atomic fingerprints from molecule

Extracting atomic fingerprints from molecules using pretrained Graph Neural Network models (GROVER).

Xuan Vu Nguyen 1 Jan 28, 2022
Speedy Implementation of Instance-based Learning (IBL) agents in Python

A Python library to create single or multi Instance-based Learning (IBL) agents that are built based on Instance Based Learning Theory (IBLT) 1 Instal

0 Nov 18, 2021
Hybrid CenterNet - Hybrid-supervised object detection / Weakly semi-supervised object detection

Hybrid-Supervised Object Detection System Object detection system trained by hybrid-supervision/weakly semi-supervision (HSOD/WSSOD): This project is

5 Dec 10, 2022
Code for all the Advent of Code'21 challenges mostly written in python

Advent of Code 21 Code for all the Advent of Code'21 challenges mostly written in python. They are not necessarily the best or fastest solutions but j

4 May 26, 2022
Python library for computer vision labeling tasks. The core functionality is to translate bounding box annotations between different formats-for example, from coco to yolo.

PyLabel pip install pylabel PyLabel is a Python package to help you prepare image datasets for computer vision models including PyTorch and YOLOv5. I

PyLabel Project 176 Jan 01, 2023
This project is the official implementation of our accepted ICLR 2021 paper BiPointNet: Binary Neural Network for Point Clouds.

BiPointNet: Binary Neural Network for Point Clouds Created by Haotong Qin, Zhongang Cai, Mingyuan Zhang, Yifu Ding, Haiyu Zhao, Shuai Yi, Xianglong Li

Haotong Qin 59 Dec 17, 2022
AVD Quickstart Containerlab

AVD Quickstart Containerlab WARNING This repository is still under construction. It's fully functional, but has number of limitations. For example: RE

Carl Buchmann 3 Apr 10, 2022
Cl datasets - PyTorch image dataloaders and utility functions to load datasets for supervised continual learning

Continual learning datasets Introduction This repository contains PyTorch image

berjaoui 5 Aug 28, 2022
use tensorflow 2.0 to tell a dog and cat from a specified picture

dog_or_cat use tensorflow 2.0 to tell a dog and cat from a specified picture This is one of the classic experiments for the introduction of deep learn

你这个代码我看不懂 1 Oct 22, 2021
pybaum provides tools to work with pytrees which is a concept burrowed from JAX.

pybaum provides tools to work with pytrees which is a concept burrowed from JAX.

Open Source Economics 9 May 11, 2022
Meta Self-learning for Multi-Source Domain Adaptation: A Benchmark

Meta Self-Learning for Multi-Source Domain Adaptation: A Benchmark Project | Arxiv | YouTube | | Abstract In recent years, deep learning-based methods

CVSM Group - email: <a href=[email protected]"> 188 Dec 12, 2022