{"id":18403046,"url":"https://github.com/giggleliu/marburg","last_synced_at":"2025-04-07T07:32:32.785Z","repository":{"id":43331693,"uuid":"120428580","full_name":"GiggleLiu/marburg","owner":"GiggleLiu","description":"physics meets neural networks","archived":false,"fork":false,"pushed_at":"2018-11-23T06:08:47.000Z","size":20348,"stargazers_count":98,"open_issues_count":0,"forks_count":33,"subscribers_count":9,"default_branch":"master","last_synced_at":"2025-03-22T14:41:27.782Z","etag":null,"topics":["deep-learning","many-body-physics","monte-carlo","quantum-mechanics"],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/GiggleLiu.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":"2018-02-06T09:03:39.000Z","updated_at":"2025-03-02T22:22:21.000Z","dependencies_parsed_at":"2022-07-12T18:18:55.933Z","dependency_job_id":null,"html_url":"https://github.com/GiggleLiu/marburg","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/GiggleLiu%2Fmarburg","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/GiggleLiu%2Fmarburg/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/GiggleLiu%2Fmarburg/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/GiggleLiu%2Fmarburg/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/GiggleLiu","download_url":"https://codeload.github.com/GiggleLiu/marburg/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247612442,"owners_count":20966748,"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","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":["deep-learning","many-body-physics","monte-carlo","quantum-mechanics"],"created_at":"2024-11-06T02:44:17.366Z","updated_at":"2025-04-07T07:32:30.014Z","avatar_url":"https://github.com/GiggleLiu.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Deep Learning and Quantum Many-Body Physics - Hands on Session\n\n## Table of Contents\nWe have prepaired four examples\n\n* Computation Graphs and Back Propagation ([online](https://goo.gl/6d2sei), [solution](https://goo.gl/DZtidF))\n* Normalization flow for sampling ([online](https://goo.gl/8Caymh), [solution](https://goo.gl/FhAHRZ))\n* Restricted Boltzmann Machine for image restoration ([online](https://goo.gl/d7kPzy), [solution](https://goo.gl/VxYYQX))\n* Deep Neural Network as a Quantum Wave Function Ansatz ([online](https://goo.gl/vPFtdU))\n\nThey have been uploaded to both Google drive and notebooks folder in this repository. Have fun! \n\n## Preparations\nYou may use **either** local or online accesses to our python notebooks.\n\nIf you are not using an Nvidia GPU or its driver are not properly configured, online access is recommended,\notherwise you may loss some fun in this session.\n\n### Local\nRequires a Linux or OSX operating system (required by pytorch).\n\nSet up your python environment\n\n* python 3.6\n* install python libraries **numpy**, **matplotlib** and **ipython**\n\n```bash\npip install numpy matplotlib ipython\n```\n\n* install PyTorch following [installation guide](http://pytorch.org/).\n    * select CUDA 8 if you have an Nvidia GPU with properly configured driver\n    * select CUDA None if your don't\n\nClone this repository https://github.com/GiggleLiu/marburg.git to your local host.\nChange directory to project home, check your installation by typing `ipython notebook env_test.ipynb` and run this test script.\n\n### Online\nOnline means you can try CUDA programming without having an local NVIDIA GPU.\n\n1. Sign up and sign in [Google drive](https://drive.google.com/)\n2. Connect Google drive with [Google Colaboratory](https://colab.research.google.com)\n    - right click on google drive page\n    - More\n    - Connect more apps\n    - search \"Colaboratory\" and \"CONNECT\"\n3. Open the following online notebook link\n    https://drive.google.com/file/d/1MLcG21zqSU9AvbY4siD4NqqbB2uwP2p2/view?usp=sharing\n4. Setup GPU following instructions in above notebook\n5. You can make a copy of notebook to your google drive (File Menu) to save your edits.\n\n## Documentations\n\n* lecture notes: *docs/LectureNoteonML.pdf*\n* hands on slides: *docs/ML-handson.pdf*\n\n## Authors\n\n* Jin-Guo Liu \u003ccacate0129@iphy.ac.cn\u003e\n* Shuo-Hui Li \u003ccontact_lish@iphy.ac.cn\u003e\n* Lei Wang \u003cwanglei@iphy.ac.cn\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgiggleliu%2Fmarburg","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgiggleliu%2Fmarburg","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgiggleliu%2Fmarburg/lists"}