Title: FedML/python at master · ponytcode/FedML · GitHub
Open Graph Title: FedML/python at master · ponytcode/FedML
X Title: FedML/python at master · ponytcode/FedML
Description: FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale. - FedML/python at master · ponytcode/FedML
Open Graph Description: FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs o...
X Description: FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs o...
Opengraph URL: https://github.com/ponytcode/FedML/tree/master/python
X: @github
Domain: patch-diff.githubusercontent.com
| route-pattern | /:user_id/:repository/tree/*name(/*path) |
| route-controller | files |
| route-action | disambiguate |
| fetch-nonce | v2:28af1b95-6ab7-b212-b501-2a308100fbf7 |
| current-catalog-service-hash | f3abb0cc802f3d7b95fc8762b94bdcb13bf39634c40c357301c4aa1d67a256fb |
| request-id | A5D6:1ADF58:1A9A904:2290926:6976F8E2 |
| html-safe-nonce | 6a914ee1875ea103de0ca07814cae12412a69269cccaf6962d22e948fa4d6cf4 |
| visitor-payload | eyJyZWZlcnJlciI6IiIsInJlcXVlc3RfaWQiOiJBNUQ2OjFBREY1ODoxQTlBOTA0OjIyOTA5MjY6Njk3NkY4RTIiLCJ2aXNpdG9yX2lkIjoiNDQ2ODA4NjI5NjkxNTkzMzQxMCIsInJlZ2lvbl9lZGdlIjoiaWFkIiwicmVnaW9uX3JlbmRlciI6ImlhZCJ9 |
| visitor-hmac | 2a5b281e953d24ae59a68768cfe8ade5e60fc53287a439f561007cab6d577fbf |
| hovercard-subject-tag | repository:1017369939 |
| github-keyboard-shortcuts | repository,source-code,file-tree,copilot |
| google-site-verification | Apib7-x98H0j5cPqHWwSMm6dNU4GmODRoqxLiDzdx9I |
| octolytics-url | https://collector.github.com/github/collect |
| analytics-location | / |
| fb:app_id | 1401488693436528 |
| apple-itunes-app | app-id=1477376905, app-argument=https://github.com/ponytcode/FedML/tree/master/python |
| twitter:image | https://opengraph.githubassets.com/411cf5a3fff4adca1864364200b6c457d9791eb773723b7051d4fed7e140e2c8/ponytcode/FedML |
| twitter:card | summary_large_image |
| og:image | https://opengraph.githubassets.com/411cf5a3fff4adca1864364200b6c457d9791eb773723b7051d4fed7e140e2c8/ponytcode/FedML |
| og:image:alt | FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs o... |
| og:image:width | 1200 |
| og:image:height | 600 |
| og:site_name | GitHub |
| og:type | object |
| hostname | github.com |
| expected-hostname | github.com |
| None | 01d198479908d09a841b2febe8eb105a81af2af7d81830960fe0971e1f4adc09 |
| turbo-cache-control | no-cache |
| go-import | github.com/ponytcode/FedML git https://github.com/ponytcode/FedML.git |
| octolytics-dimension-user_id | 168318312 |
| octolytics-dimension-user_login | ponytcode |
| octolytics-dimension-repository_id | 1017369939 |
| octolytics-dimension-repository_nwo | ponytcode/FedML |
| octolytics-dimension-repository_public | true |
| octolytics-dimension-repository_is_fork | true |
| octolytics-dimension-repository_parent_id | 281519510 |
| octolytics-dimension-repository_parent_nwo | FedML-AI/FedML |
| octolytics-dimension-repository_network_root_id | 281519510 |
| octolytics-dimension-repository_network_root_nwo | FedML-AI/FedML |
| turbo-body-classes | logged-out env-production page-responsive |
| disable-turbo | false |
| browser-stats-url | https://api.github.com/_private/browser/stats |
| browser-errors-url | https://api.github.com/_private/browser/errors |
| release | f752335dbbea672610081196a1998e39aec5e14b |
| ui-target | full |
| theme-color | #1e2327 |
| color-scheme | light dark |
Links:
Viewport: width=device-width