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

Related tags

Deep Learningpythonbashscripts
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

John 8 Oct 7, 2022
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

Ananda Rauf 2 Apr 24, 2022
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

Brady Johnston 456 Jan 8, 2023
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

Johnsz 2 Mar 2, 2022
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

Alexander Regueiro 2 Jun 18, 2022
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

FluxML 278 Dec 11, 2022
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

Miles Tweed 2 Jun 5, 2022
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

Zhihu 44 Oct 20, 2022
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

Popstar Idhant 3 Feb 25, 2022
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
GitHub Repository
LocUNet is a deep learning method to localize a UE based solely on the reported signal strengths from a set of BSs.

LocUNet LocUNet is a deep learning method to localize a UE based solely on the reported signal strengths from a set of BSs. The method utilizes accura

4 Oct 05, 2022
AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition

AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition [ArXiv] [Project Page] This repository is the official implementation of AdaMML:

International Business Machines 43 Dec 26, 2022
A pytorch reproduction of { Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation }.

A PyTorch Reproduction of HCN Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation. Ch

Guyue Hu 210 Dec 31, 2022
Principled Detection of Out-of-Distribution Examples in Neural Networks

ODIN: Out-of-Distribution Detector for Neural Networks This is a PyTorch implementation for detecting out-of-distribution examples in neural networks.

189 Nov 29, 2022
Apply AnimeGAN-v2 across frames of a video clip

title emoji colorFrom colorTo sdk app_file pinned AnimeGAN-v2 For Videos 🔥 blue red gradio app.py false AnimeGAN-v2 For Videos Apply AnimeGAN-v2 acro

Nathan Raw 36 Oct 18, 2022
The code for Expectation-Maximization Attention Networks for Semantic Segmentation (ICCV'2019 Oral)

EMANet News The bug in loading the pretrained model is now fixed. I have updated the .pth. To use it, download it again. EMANet-101 gets 80.99 on the

Xia Li 李夏 663 Nov 30, 2022
A Parameter-free Deep Embedded Clustering Method for Single-cell RNA-seq Data

A Parameter-free Deep Embedded Clustering Method for Single-cell RNA-seq Data Overview Clustering analysis is widely utilized in single-cell RNA-seque

AI-Biomed @NSCC-gz 3 May 08, 2022
Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation

tf-imle Tensorflow 2 and PyTorch implementation and Jupyter notebooks for Implicit Maximum Likelihood Estimation (I-MLE) proposed in the NeurIPS 2021

NEC Laboratories Europe 69 Dec 13, 2022
YoloV3 Implemented in Tensorflow 2.0

YoloV3 Implemented in TensorFlow 2.0 This repo provides a clean implementation of YoloV3 in TensorFlow 2.0 using all the best practices. Key Features

Zihao Zhang 2.5k Dec 26, 2022
This repo. is an implementation of ACFFNet, which is accepted for in Image and Vision Computing.

Attention-Guided-Contextual-Feature-Fusion-Network-for-Salient-Object-Detection This repo. is an implementation of ACFFNet, which is accepted for in I

5 Nov 21, 2022
Keras like implementation of Deep Learning architectures from scratch using numpy.

Mini-Keras Keras like implementation of Deep Learning architectures from scratch using numpy. How to contribute? The project contains implementations

MANU S PILLAI 5 Oct 10, 2021
Single-Stage Instance Shadow Detection with Bidirectional Relation Learning (CVPR 2021 Oral)

Single-Stage Instance Shadow Detection with Bidirectional Relation Learning (CVPR 2021 Oral) Tianyu Wang*, Xiaowei Hu*, Chi-Wing Fu, and Pheng-Ann Hen

Steve Wong 51 Oct 20, 2022
Facial expression detector

A tensorflow convolutional neural network model to detect facial expressions.

Carlos Tardón Rubio 5 Apr 20, 2022
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods

ADGC: Awesome Deep Graph Clustering ADGC is a collection of state-of-the-art (SOTA), novel deep graph clustering methods (papers, codes and datasets).

yueliu1999 297 Dec 27, 2022
PyTorch-lightning implementation of the ESFW module proposed in our paper Edge-Selective Feature Weaving for Point Cloud Matching

Edge-Selective Feature Weaving for Point Cloud Matching This repository contains a PyTorch-lightning implementation of the ESFW module proposed in our

5 Feb 14, 2022
PyTorch and Tensorflow functional model definitions

functional-zoo Model definitions and pretrained weights for PyTorch and Tensorflow PyTorch, unlike lua torch, has autograd in it's core, so using modu

Sergey Zagoruyko 590 Dec 22, 2022
[ICML 2021] A fast algorithm for fitting robust decision trees.

GROOT: Growing Robust Trees Growing Robust Trees (GROOT) is an algorithm that fits binary classification decision trees such that they are robust agai

Cyber Analytics Lab 17 Nov 21, 2022
Benchmark for evaluating open-ended generation

OpenMEVA Contributed by Jian Guan, Zhexin Zhang. Thank Jiaxin Wen for DeBugging. OpenMEVA is a benchmark for evaluating open-ended story generation me

25 Nov 15, 2022
PSANet: Point-wise Spatial Attention Network for Scene Parsing, ECCV2018.

PSANet: Point-wise Spatial Attention Network for Scene Parsing (in construction) by Hengshuang Zhao*, Yi Zhang*, Shu Liu, Jianping Shi, Chen Change Lo

Hengshuang Zhao 217 Oct 30, 2022
Object DGCNN and DETR3D, Our implementations are built on top of MMdetection3D.

Object DGCNN & DETR3D This repo contains the implementations of Object DGCNN (https://arxiv.org/abs/2110.06923) and DETR3D (https://arxiv.org/abs/2110

Wang, Yue 539 Jan 07, 2023