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AI Tooling to bootstrap applications fast

active 2023-08-152025-09-10 (UTC)

Partial coverage20,527 / 26,283 hourly files (78%) · 2 absent upstream · 5,753 failed, retryable2023-08-152026-08-14 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
379
Pushes
48
Pull requests
83
Issues
40
Stars
16
Forks
18

Activity over time

Daily event counts in the loaded window

Line chart, 758 days from 2023-08-15 to 2025-09-10. Pushes: 48 total, peak 5 in a day. Pull requests: 83 total, peak 23 in a day. Issues: 40 total, peak 19 in a day. Comments: 153 total, peak 25 in a day. Stars: 16 total, peak 2 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

Recent activity

Latest issues, pull requests and releases

  • Issue comment#303Pranav-Marwaha-732025-04-15 02:57
    Comparison Test Between Surya and Pytesseract OCR Capabilities
  • Issue comment#284techy4shri2025-04-06 08:07
    Parsing Hindi tables better
  • Issue comment#320Shubhf2025-03-01 13:38
    Fine tune PaliGemma to Recognize Issue Dates on Cheques Goal
  • Issue comment#284Gautam-Rajeev2025-02-19 02:39
    Parsing Hindi tables better
  • Issue comment#284avinashsinghgit2024-12-28 19:46
    Parsing Hindi tables better
  • Issue#322xorsuyash2024-09-17 04:19
    Prompts as Auto-Optimized Training Hyperparameters
  • Issue comment#323harshaharod212024-08-29 03:19
    Creating a test set of question and answers for testing capabilities
  • Issue comment#323dev-SARDAR2024-08-11 16:23
    Creating a test set of question and answers for testing capabilities
  • Issue comment#313xorsuyash2024-08-09 03:24
    [DMP 2024]: Create offline audio-phoetic matching model
  • Issue#306GautamR-Samagra2024-08-09 02:51
    Fine tuning mixtral7B using raft data format for implementation of RAG2.0
  • Issue comment#323GautamR-Samagra2024-08-09 02:44
    Creating a test set of question and answers for testing capabilities
  • Issue comment#322harshaharod212024-08-02 17:26
    Prompts as Auto-Optimized Training Hyperparameters
  • Issue comment#322harshaharod212024-08-02 17:25
    Prompts as Auto-Optimized Training Hyperparameters
  • Issue comment#312GautamR-Samagra2024-07-16 04:31
    [DMP 2024]: Develop TinyML Models for Agriculture and Document Detection Tasks
  • Issue comment#320kartikbhtt72024-06-16 20:02
    Fine tune PaliGemma to Recognize Issue Dates on Cheques Goal
  • Issue comment#320Saswatsusmoy2024-06-16 16:29
    Fine tune PaliGemma to Recognize Issue Dates on Cheques Goal
  • Issue#321GautamR-Samagra2024-06-14 04:32
    Issues with deploying bge large
  • Issue comment#313GautamR-Samagra2024-06-12 01:57
    [DMP 2024]: Create offline audio-phoetic matching model
  • Issue comment#284harshaharod212024-05-28 04:51
    Parsing Hindi tables better
  • Pull request#317GautamR-Samagra2024-05-16 07:09
  • Issue comment#319GautamR-Samagra2024-05-16 07:08
    Fine tuning the classifier for new schemes
  • Issue#319GautamR-Samagra2024-05-16 07:06
    Fine tuning the classifier for new schemes
  • Issue comment#318GautamR-Samagra2024-05-13 05:28
    Fine tune on hindi dataset and convert it to TFLite
  • Issue#318GautamR-Samagra2024-05-13 05:26
    Fine tune on hindi dataset and convert it to TFLite
  • Issue comment#312A-01-hub2024-05-04 18:21
    [DMP 2024]: Develop TinyML Models for Agriculture and Document Detection Tasks

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 16 stars here means stars gained during the window, not the repo's star count.