{"id":22677248,"url":"https://github.com/daemon/neurde","last_synced_at":"2026-01-07T12:50:28.690Z","repository":{"id":186636500,"uuid":"622044627","full_name":"daemon/neurde","owner":"daemon","description":"Understanding neural differential equations, from theory to practice.","archived":false,"fork":false,"pushed_at":"2023-04-02T05:54:59.000Z","size":4,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-04T13:43:48.240Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":null,"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/daemon.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}},"created_at":"2023-04-01T01:01:28.000Z","updated_at":"2023-04-02T05:26:36.000Z","dependencies_parsed_at":null,"dependency_job_id":"a13969be-8e89-43ef-b4f6-67c0a2feb0b4","html_url":"https://github.com/daemon/neurde","commit_stats":null,"previous_names":["daemon/neurde"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/daemon%2Fneurde","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/daemon%2Fneurde/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/daemon%2Fneurde/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/daemon%2Fneurde/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/daemon","download_url":"https://codeload.github.com/daemon/neurde/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246187218,"owners_count":20737459,"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":"2024-12-09T17:59:41.790Z","updated_at":"2026-01-07T12:50:28.663Z","avatar_url":"https://github.com/daemon.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# NeurDE\n\nNeurDE (pronounced nɜrd) is a teaching library with Jupyter notebooks for understanding some of the neural differential equations literature, namely\n\n1. [Neural Ordinary Differential Equations (2018)](https://arxiv.org/abs/1806.07366)\n2. [Infinitely Deep Bayesian Neural Networks with SDEs (2021)](https://arxiv.org/abs/2102.06559)\n\nFor the engineering bits, the codebase is as cogent and comprehensive as possible, without any cryptic optimization tricks, to better facilitate learning.\nAs for the theoretical parts, the Jupyter notebooks contain a full dissection of neural ordinary differential equations (ODEs) and stochastic differential equations (SDEs).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdaemon%2Fneurde","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdaemon%2Fneurde","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdaemon%2Fneurde/lists"}