Title: Issues · secondlevel/EEG-classification · GitHub
Open Graph Title: Issues · secondlevel/EEG-classification
X Title: Issues · secondlevel/EEG-classification
Description: It is the task to classify BCI competition datasets (EEG signals) using EEGNet and DeepConvNet with different activation functions. You can get some detailed introduction and experimental results in the link below. https://github.com/secondlevel/EEG-classification/blob/main/Experiment Report.pdf - Issues · secondlevel/EEG-classification
Open Graph Description: It is the task to classify BCI competition datasets (EEG signals) using EEGNet and DeepConvNet with different activation functions. You can get some detailed introduction and experimental results ...
X Description: It is the task to classify BCI competition datasets (EEG signals) using EEGNet and DeepConvNet with different activation functions. You can get some detailed introduction and experimental results ...
Opengraph URL: https://github.com/secondlevel/EEG-classification
X: @github
Domain: github.com
| route-pattern | /:user_id/:repository/issues(.:format) |
| route-controller | issues |
| route-action | index |
| fetch-nonce | v2:83174788-4a27-549c-e02b-28dfb417698c |
| current-catalog-service-hash | 81bb79d38c15960b92d99bca9288a9108c7a47b18f2423d0f6438c5b7bcd2114 |
| request-id | B55C:1FF539:A8DC5:E1D66:6A4C12B7 |
| html-safe-nonce | ec9e32d9c87bb53ce63cce2fd9d2e3c467bbb9cd179fcf85a78413b4fb407ed7 |
| visitor-payload | eyJyZWZlcnJlciI6IiIsInJlcXVlc3RfaWQiOiJCNTVDOjFGRjUzOTpBOERDNTpFMUQ2Njo2QTRDMTJCNyIsInZpc2l0b3JfaWQiOiI4Mzc5OTU2MjAyNDgyNDM4ODM5IiwicmVnaW9uX2VkZ2UiOiJpYWQiLCJyZWdpb25fcmVuZGVyIjoiaWFkIn0= |
| visitor-hmac | 512f27db277035690d43efb90212767576cdf73610f47f1a0ac8903909c8589b |
| hovercard-subject-tag | repository:449161284 |
| github-keyboard-shortcuts | repository,issues,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/secondlevel/EEG-classification/issues |
| twitter:image | https://opengraph.githubassets.com/f94252210d73a2ea1a2469bbf91f4cd84acc7b1c1074c9db7e6683f8d298f5a2/secondlevel/EEG-classification |
| twitter:card | summary_large_image |
| og:image | https://opengraph.githubassets.com/f94252210d73a2ea1a2469bbf91f4cd84acc7b1c1074c9db7e6683f8d298f5a2/secondlevel/EEG-classification |
| og:image:alt | It is the task to classify BCI competition datasets (EEG signals) using EEGNet and DeepConvNet with different activation functions. You can get some detailed introduction and experimental results ... |
| og:image:width | 1200 |
| og:image:height | 600 |
| og:site_name | GitHub |
| og:type | object |
| hostname | github.com |
| expected-hostname | github.com |
| None | 0ccfc9e5281bfe12e38a4d632dc422843e4d5b6757917f7efda2f6567d72fea9 |
| turbo-cache-control | no-cache |
| go-import | github.com/secondlevel/EEG-classification git https://github.com/secondlevel/EEG-classification.git |
| octolytics-dimension-user_id | 44439517 |
| octolytics-dimension-user_login | secondlevel |
| octolytics-dimension-repository_id | 449161284 |
| octolytics-dimension-repository_nwo | secondlevel/EEG-classification |
| octolytics-dimension-repository_public | true |
| octolytics-dimension-repository_is_fork | false |
| octolytics-dimension-repository_network_root_id | 449161284 |
| octolytics-dimension-repository_network_root_nwo | secondlevel/EEG-classification |
| 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 | 18812876666a23a0912556e224383baa4c84cf8e |
| ui-target | full |
| theme-color | #1e2327 |
| color-scheme | light dark |
Links:
Viewport: width=device-width