{"id":19644914,"url":"https://github.com/quantecon/rba_workshop_2024","last_synced_at":"2025-02-26T23:42:58.497Z","repository":{"id":261561061,"uuid":"884638586","full_name":"QuantEcon/rba_workshop_2024","owner":"QuantEcon","description":"RBA seminar 2024","archived":false,"fork":false,"pushed_at":"2024-11-22T00:33:44.000Z","size":17896,"stargazers_count":2,"open_issues_count":0,"forks_count":1,"subscribers_count":4,"default_branch":"main","last_synced_at":"2025-02-23T14:28:41.120Z","etag":null,"topics":[],"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/QuantEcon.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,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null},"funding":{"github":"numfocus","custom":"https://numfocus.org/donate-to-quantecon"}},"created_at":"2024-11-07T05:45:13.000Z","updated_at":"2025-01-30T02:08:18.000Z","dependencies_parsed_at":"2024-12-01T09:37:41.371Z","dependency_job_id":"16a361c9-b12a-4b9e-b27e-64a147e5bd00","html_url":"https://github.com/QuantEcon/rba_workshop_2024","commit_stats":{"total_commits":16,"total_committers":1,"mean_commits":16.0,"dds":0.0,"last_synced_commit":"1935cf56d54966c9c9fe7ca7f64393652ab3b430"},"previous_names":["quantecon/rba_workshop_2024"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/QuantEcon%2Frba_workshop_2024","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/QuantEcon%2Frba_workshop_2024/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/QuantEcon%2Frba_workshop_2024/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/QuantEcon%2Frba_workshop_2024/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/QuantEcon","download_url":"https://codeload.github.com/QuantEcon/rba_workshop_2024/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":240952945,"owners_count":19884019,"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":[],"created_at":"2024-11-11T14:30:57.582Z","updated_at":"2025-02-26T23:42:58.478Z","avatar_url":"https://github.com/QuantEcon.png","language":"Jupyter Notebook","funding_links":["https://github.com/sponsors/numfocus","https://numfocus.org/donate-to-quantecon"],"categories":[],"sub_categories":[],"readme":"![https://quantecon.org](qe-logo-large.png)\n\n----\n\n# The AI-driven Revolution in Scientific Computing\n\n## RBA Nov 2024\n\n## Abstract\n\nSeveral important new scientific computing environments have appeared in recent\nyears, generated by demand from and investment in artificial intelligence. This\nworkshop will provide a brief overview of these environments and their features,\nincluding automatic differentiation, parallel computing, and just-in-time\ncompilers. We will discuss how these tools can be applied to a range of economic\napplications.  When possible, attendees should bring laptops to the seminar.\n\n\n## Details\n\n* Instructure: [John Stachurski](https://johnstachurski.net/) (Australian National University).\n* Date: November 22nd 2024\n\n## Topics\n\n* An overview of modern scientific computing\n* AI and its impact on economic modeling\n* Quick introduction to Python\n* Accelerating Python using Numba and Fortran\n* Automatic differentiation\n* Introduction to JAX and GPU computing\n* Gini coefficients and Lorenz curves\n\n## Links\n\n* https://github.com/JaxGaussianProcesses/GPJax\n* https://github.com/google-deepmind/optax\n* https://github.com/ott-jax/ott\n* https://github.com/dipolar-quantum-gases/jaxfit\n* https://github.com/n2cholas/awesome-jax?tab=readme-ov-file\n* https://flax.readthedocs.io/\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fquantecon%2Frba_workshop_2024","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fquantecon%2Frba_workshop_2024","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fquantecon%2Frba_workshop_2024/lists"}