Skip to content

VigneshT24/Dynamic_Learning_Model

View on GitHub ↗Related repositories →

The Dynamic Learning Model (DLM) is a hybrid AI system designed to learn, adapt, and intelligently respond to user queries. It combines natural language understanding with structured reasoning, continually improving as it is trained.

active 2025-03-242026-07-28 (UTC)

Complete coverage26,395 / 26,395 hourly files (100%) · 2 absent upstream2023-08-152026-08-18 (UTC)
Events
300
Pushes
256
Pull requests
1
Issues
18
Stars
1
Forks
1

Activity over time

Daily event counts in the loaded window

Line chart, 492 days from 2025-03-24 to 2026-07-28. Pushes: 256 total, peak 24 in a day. Pull requests: 1 total, peak 1 in a day. Issues: 18 total, peak 2 in a day. Comments: 4 total, peak 1 in a day. Stars: 1 total, peak 1 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

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

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

ContributorContributionsPushesPRsComments
VigneshT2427925614

Recent activity

Latest issues, pull requests and releases

  • Issue comment#16VigneshT242025-12-15 02:29
    Refactor DLM initialization to use Singleton pattern for heavy AI models
  • Issue#16VigneshT242025-12-07 05:43
    Refactor DLM initialization to use Singleton pattern for heavy AI models
  • Issue#14VigneshT242025-12-07 04:01
    Refactor Compute Model Methods For Readability
  • Issue comment#14VigneshT242025-12-07 04:01
    Refactor Compute Model Methods For Readability
  • Issue#13VigneshT242025-09-10 02:46
    Fix issue where DLM goes to "compute" -> "memory" -> then back to "compute" for the third time. It should only do the cycle once
  • Issue#12VigneshT242025-08-29 19:37
    Seperate Compute Model, Memory Model, and Main Methods in Different Files for Readability
  • Issue#11VigneshT242025-08-28 02:06
    Merge "Memory" and "Compute" Model
  • ReleaseVigneshT242025-08-28 00:29
    DLM Bot V2
  • Issue comment#11VigneshT242025-08-27 23:50
    Merge "Memory" and "Compute" Model
  • Issue#11VigneshT242025-08-24 17:39
    Merge "Memory" and "Compute" Model
  • Issue#9VigneshT242025-06-19 20:56
    Remove "Experimental" and combine with "Commericial"
  • Issue comment#9VigneshT242025-06-19 18:01
    Remove "Experimental" and combine with "Commericial"
  • Issue#8VigneshT242025-06-19 04:00
    Update Geometric Database For more problems
  • Issue#8VigneshT242025-06-18 23:49
    Update Geometric Database For more problems
  • Issue#7VigneshT242025-06-18 23:48
    Add Area & Volume Calculation using Math Library
  • Issue#7VigneshT242025-06-15 19:42
    Add Area & Volume Calculation using Math Library
  • Issue#6VigneshT242025-06-15 19:41
    Potential Update: bot can perform derivatives and integral queries
  • Issue#6VigneshT242025-06-13 17:44
    Potential Update: bot can perform derivatives and integral queries
  • Issue#5VigneshT242025-06-10 01:40
    Add Bot Benchmarking (Errors over Total)
  • Issue#5VigneshT242025-06-09 19:21
    Add Bot Benchmarking (Errors over Total)
  • Issue#4VigneshT242025-06-07 04:59
    Add better fallback
  • Issue#3VigneshT242025-06-01 17:01
    DLM Advanced CoT Feature
  • Issue#2VigneshT242025-05-30 00:33
    Tweak Vector Similarity & DiffLib Sequencing to Improve Accuracy
  • Pull request#1VigneshT242025-05-26 16:42

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.