{"id":20786342,"url":"https://github.com/praeclarumjj3/atlas_evaluation","last_synced_at":"2026-04-23T06:32:04.412Z","repository":{"id":69335386,"uuid":"347015413","full_name":"praeclarumjj3/ATLAS_Evaluation","owner":"praeclarumjj3","description":"Submission for the Evaluation Exercise for ATLAS Encoders","archived":false,"fork":false,"pushed_at":"2021-03-12T14:16:57.000Z","size":1492,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-12-26T18:48:24.762Z","etag":null,"topics":["autoencoder","data-compression","fastai","pytorch"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/praeclarumjj3.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2021-03-12T09:44:48.000Z","updated_at":"2021-03-12T14:29:01.000Z","dependencies_parsed_at":null,"dependency_job_id":"2c9b2627-2ca6-4709-822b-fb004f7ac557","html_url":"https://github.com/praeclarumjj3/ATLAS_Evaluation","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/praeclarumjj3/ATLAS_Evaluation","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/praeclarumjj3%2FATLAS_Evaluation","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/praeclarumjj3%2FATLAS_Evaluation/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/praeclarumjj3%2FATLAS_Evaluation/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/praeclarumjj3%2FATLAS_Evaluation/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/praeclarumjj3","download_url":"https://codeload.github.com/praeclarumjj3/ATLAS_Evaluation/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/praeclarumjj3%2FATLAS_Evaluation/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32169655,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-23T02:19:40.750Z","status":"ssl_error","status_checked_at":"2026-04-23T02:17:55.737Z","response_time":53,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["autoencoder","data-compression","fastai","pytorch"],"created_at":"2024-11-17T14:51:50.168Z","updated_at":"2026-04-23T06:32:04.392Z","avatar_url":"https://github.com/praeclarumjj3.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# ATLAS Evaluation\n\n[**[Presentation]**](https://docs.google.com/presentation/d/1TEzEqilbNTESiVPPP8BjSedZ-YLAT2OCrAgii--jEik/edit?usp=sharing)\n\nThis repo contains the code for my submission of the task given by mentors for the GSoC 2021 Project: [Deep autoencoders for ATLAS data compression](https://hepsoftwarefoundation.org/gsoc/2021/proposal_ATLASCompressionAE.html) under [**CERN-HSF**](https://summerofcode.withgoogle.com/organizations/4526188451594240/) Organization.\n\n**Problem Statement**: Prepare an autoencoder to compress the four-momentum of a sample of simulated ‘j’ particles from 4 to 3 variables for the dataset available on [drive](https://drive.google.com/file/d/1MJePFQT3OKdnmdlaJPNWwxqWrGEbj2F_/view).\n\n## Contents\n1. [Setup Instructions](#1-setup-instructions)\n2. [Repository Overview](#2-repository-overview)\n3. [Results](#3-results)\n\n## 1. Setup Instructions\n\n- Clone the repo:\n```\ngit clone https://github.com/praeclarumjj3/ATLAS_Evaluation.git\n```\n\n- To run the AE Compression model and see the results, open [AE_Compression_3D.ipynb](https://github.com/praeclarumjj3/ATLAS_Evaluation/blob/master/AE_Compression_3D.ipynb) and run it cell by cell.\n\n\n## 2. Repository Overview\n\nThe repository is structured as follows:\n\n- `data` - Contains the datas files for training/testing the AE Compression model.\n- `plotInput` - Contains images of the plots for `normalized` Input Data.\n- `plotOutput` - Contains images of the plots for `normalized` Input Data.\n- `prepare_datset.py` - Script for cleaning and preparing the `.pkl` file which contains the data used for training.\n- `AE_Compression_3D.ipynb` - Contains code for running the model.\n\n\n## 3. Results\n\n- The compression model works well on the given dataset as can be seen from the overlapping output-input plots for the normalized data:\n\n\u003cimg src='plotOutput/E.png' style=\"max-width:50%\"\u003e\n\n\u003cimg src='plotOutput/pt.png' style=\"max-width:50%\"\u003e\n\n\u003cimg src='plotOutput/eta.png' style=\"max-width:50%\"\u003e\n\n\u003cimg src='plotOutput/phi.png' style=\"max-width:50%\"\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpraeclarumjj3%2Fatlas_evaluation","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpraeclarumjj3%2Fatlas_evaluation","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpraeclarumjj3%2Fatlas_evaluation/lists"}