Skip to content

AmirAbaskohi/Transformers-Tutorial

View on GitHub ↗Related repositories →

Welcome to my Transformers tutorial series! In this series, I'll be diving into the powerful Transformer architecture and its implementation in TensorFlow and PyTorch. Whether you're an experienced NLP practitioner or just starting out, I hope you'll find the series informative and engaging.

active 2023-10-062024-02-03 (UTC)

Complete coverage26,598 / 26,598 hourly files (100%) · 2 absent upstream2023-08-152026-08-27 (UTC)
Events
7
Pushes
0
Pull requests
0
Issues
2
Stars
1
Forks
2

Activity over time

Daily event counts in the loaded window

Line chart, 121 days from 2023-10-06 to 2024-02-03. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 2 total, peak 1 in a day. Comments: 2 total, peak 2 in a day. Stars: 1 total, peak 1 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
rpraver2001
AmirAbaskohi2001

Recent activity

Latest issues, pull requests and releases

  • Issue comment#1rpraver2023-12-27 02:38
    TransformerBlock
  • Issue comment#1AmirAbaskohi2023-12-27 00:24
    TransformerBlock
  • Issue#1AmirAbaskohi2023-12-27 00:24
    TransformerBlock
  • Issue#1rpraver2023-12-17 22:51
    TransformerBlock

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.