Analyzing Classical Continual Learning Methods: Explore the performance of diverse continual learning techniques on image classification tasks with MNIST, CIFAR-10 and CIFAR-100 datasets. Effortlessly compare and assess the outcomes of each method, meticulously documented in an Excel file for a comprehensive evaluation.
active 2023-11-15 → 2024-02-08 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 86 days from 2023-11-15 to 2024-02-08. Pushes: 110 total, peak 22 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
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Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| pascutc98 | 110 | 110 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
No issue or PR events — this repo's activity is pushes only.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.