{"id":16654996,"url":"https://github.com/argmaster/nneve","last_synced_at":"2025-09-08T01:31:56.698Z","repository":{"id":36961203,"uuid":"490287812","full_name":"Argmaster/NNEVE","owner":"Argmaster","description":"Collection of physics related neural networks for solving differential equations.","archived":false,"fork":false,"pushed_at":"2022-09-11T08:59:39.000Z","size":29171,"stargazers_count":0,"open_issues_count":0,"forks_count":3,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-07-07T15:56:35.554Z","etag":null,"topics":["eigenvalue","eigenvalueproblems","neural-network","physical-computing","physics","quantum-oscillator","schrodinger-equation","tensorflow"],"latest_commit_sha":null,"homepage":"https://argmaster.github.io/NNEVE/","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Argmaster.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2022-05-09T13:08:59.000Z","updated_at":"2023-08-07T18:31:23.000Z","dependencies_parsed_at":"2022-09-12T07:50:32.855Z","dependency_job_id":null,"html_url":"https://github.com/Argmaster/NNEVE","commit_stats":null,"previous_names":[],"tags_count":2,"template":false,"template_full_name":null,"purl":"pkg:github/Argmaster/NNEVE","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Argmaster%2FNNEVE","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Argmaster%2FNNEVE/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Argmaster%2FNNEVE/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Argmaster%2FNNEVE/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Argmaster","download_url":"https://codeload.github.com/Argmaster/NNEVE/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Argmaster%2FNNEVE/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":274121922,"owners_count":25225801,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-09-07T02:00:09.463Z","response_time":67,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"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":["eigenvalue","eigenvalueproblems","neural-network","physical-computing","physics","quantum-oscillator","schrodinger-equation","tensorflow"],"created_at":"2024-10-12T09:51:42.505Z","updated_at":"2025-09-08T01:31:56.084Z","avatar_url":"https://github.com/Argmaster.png","language":"Python","readme":"![NNEVE](https://raw.githubusercontent.com/Argmaster/NNEVE/main/docs/img/nneve.jpg)\n\nNNEVE is a collection of neural network based solutions to physics based\nproblems. As for now only network for quantum oscillator approximation is fully\nimplemented. Hopefully soon will arrive neural network for solving\nNavier-Stokes equation based on limited number of measurement points..\n\n# Installation\n\nThis project is uploaded to PyPI as `nneve`, therefore can be installed with\nfollowing command\n\n```bash\npip install nneve\n```\n\nAt least Python 3.7 is required.\n\n# Quick example\n\nTo view quantum oscillator approximation for states 1 to 7 you can load\nprecalculated weights and acquire model object with following snippet:\n\n```python\nfrom matplotlib import pyplot as plt\n\nfrom nneve.quantum_oscillator.examples import default_qo_network\n\n# acquire network object with precalculated weights\n# for quantum oscillator state 1 (base)\nnetwork = default_qo_network(state=1)\nnetwork.plot_solution()\n\nplt.plot()\n\n```\n\nTo manually run learning cycle check out\n[\"How to run QONetwork learning cycle\"](https://argmaster.github.io/NNEVE//quantum_oscillator/learning_cycle/)\nin Quantum Oscillator section of docs.\n\n# Documentation\n\nOnline documentation is available at\n[argmaster.github.io/NNEVE/](https://argmaster.github.io/NNEVE/)\n\nTo build docs locally run\n\n```\ntox -e docs\n```\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fargmaster%2Fnneve","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fargmaster%2Fnneve","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fargmaster%2Fnneve/lists"}