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Ashish-Chokhani/Encoder-Decoder-model

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It includes Encoder‐Decoder architecture with LSTM‐based technology, achieving an outstanding accuracy rate of approximately 0.856.Additionally, it employs sophisticated training techniques, including teacher forcing and embedding layers, to enhance model performance.

active 2023-10-31 → 2023-12-04 (UTC)

Complete coverage27,288 / 27,291 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-09-25 (UTC)
Events
7
Pushes
5
Pull requests
0
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 35 days from 2023-10-31 to 2023-12-04. Pushes: 5 total, peak 4 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.

  • 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
Ashish-Chokhani5500

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.