Skip to content

adoojeda/ModularNNEngine

View on GitHub ↗Related repositories →

This repository contains a modular implementation of a neural network engine built without frameworks like TensorFlow or PyTorch

active 2024-10-24 → 2025-01-07 (UTC)

Complete coverage27,781 / 27,781 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-15 (UTC)
Events
65
Pushes
34
Pull requests
21
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 76 days from 2024-10-24 to 2025-01-07. Pushes: 34 total, peak 7 in a day. Pull requests: 21 total, peak 7 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.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
JoelClemente4726210
adoojeda6600
DaniielMG2200

Recent activity

Latest issues, pull requests and releases

  • Pull request#11JoelClemente2025-01-07 17:22
  • Pull request#11JoelClemente2025-01-07 17:22
  • Pull request#10JoelClemente2024-11-03 17:39
  • Pull request#10JoelClemente2024-11-03 17:39
  • Pull request#9JoelClemente2024-10-30 16:52
  • Pull request#9JoelClemente2024-10-30 16:52
  • Pull request#8JoelClemente2024-10-30 16:39
  • Pull request#8JoelClemente2024-10-30 16:39
  • Pull request#7JoelClemente2024-10-30 12:22
  • Pull request#7JoelClemente2024-10-30 12:22
  • Pull request#6JoelClemente2024-10-29 18:08
  • Pull request#6JoelClemente2024-10-29 18:08
  • Pull request#5JoelClemente2024-10-29 12:22
  • Pull request#5JoelClemente2024-10-29 12:22
  • Pull request#4JoelClemente2024-10-28 19:59
  • Pull request#4JoelClemente2024-10-28 19:59
  • Pull request#3JoelClemente2024-10-28 16:24
  • Pull request#3JoelClemente2024-10-28 16:24
  • Pull request#2JoelClemente2024-10-28 15:47
  • Pull request#1JoelClemente2024-10-28 15:44
  • Pull request#1JoelClemente2024-10-28 15:44

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.