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ultimate144z/CNN-Research-Trainable-Activations

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Reproduced and enhanced trainable activation functions like CosLU and NormLinCombV2. Achieved 83% accuracy on the CIFAR-10 dataset using an improved ResNet-8 with dropout, smoothing, and cosine annealing. Focused on model optimization with PyTorch.

active 2025-06-26 → 2025-06-26 (UTC)

Complete coverage28,342 / 28,342 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-11-07 (UTC)
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Activity over time

Daily event counts in the loaded window

Line chart, 1 days from 2025-06-26 to 2025-06-26. Pushes: 0 total, peak 0 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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Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

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Nobody pushed, opened or commented here in the loaded window — this repo's activity is stars and forks only.

Recent activity

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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.