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brior0506/Personal-Neural-Network-Implementation

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Uses OOP to create layer objects and a neural network object. Can add as many layers and activation functions as you want. Can train, predict and visualize the loss of the model.

active 2025-08-072025-08-07 (UTC)

Complete coverage27,167 / 27,169 hourly files (100%) · 2 absent upstream2023-08-152026-09-20 (UTC)
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Activity over time

Daily event counts in the loaded window

Line chart, 1 days from 2025-08-07 to 2025-08-07. 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.