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Olive: Simplify ML Model Finetuning, Conversion, Quantization, and Optimization for CPUs, GPUs and NPUs.

active 2023-08-152026-08-14 (UTC)

Complete coverage26,358 / 26,358 hourly files (100%) · 2 absent upstream2023-08-152026-08-17 (UTC)
Events
30.2K
Pushes
7.2K
Pull requests
2.6K
Issues
417
Stars
1.4K
Forks
157

Activity over time

Daily event counts in the loaded window

Line chart, 1096 days from 2023-08-15 to 2026-08-14. Pushes: 7,188 total, peak 45 in a day. Pull requests: 2,612 total, peak 27 in a day. Issues: 417 total, peak 30 in a day. Comments: 8,466 total, peak 122 in a day. Stars: 1,378 total, peak 38 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
jambayk7.1K1.8K9592K
xiaoyu-work3.8K1.7K456841
guotuofeng3.1K6362771.1K
trajepl2.5K689279717
shaahji2K712213508
github-advanced-security[bot]1.9K001.5K
devang-ml93914077267
azure-pipelines[bot]7064990207
justinchuby3141113592
PatriceVignola3021513760
Copilot2911187104
xieofxie2911172783
titaiwangms116321741
leqiao-1104671010
Taka152931546
samuel10079251516
VishalX680441
kaunain-986201325
anujj610432
riyadshairi979540229

Recent activity

Latest issues, pull requests and releases

  • Issue comment#2531jiafatom2026-07-29 17:01
    Add multimodal evaluation and component-aware quantization support
  • Issue comment#2531microsoft-github-policy-service[bot]2026-07-27 21:44
    Add multimodal evaluation and component-aware quantization support
  • Issue comment#2563justinchuby2026-07-08 16:32
    Migrate bnb4, io_datatype_converter, dynamic_to_fixed_shape, and static_llm passes to onnx_ir
  • Issue comment#2552azure-pipelines[bot]2026-07-02 22:37
    Benchmark CLI follow-ups: clarify --backend help and include evaluator config in eval cache key
  • Issue comment#2480Copilot2026-06-24 17:48
    Add multi build support
  • Pull request#2528jiafatom2026-06-18 23:52
  • Pull request#2491justinchuby2026-06-01 23:42
  • Issue comment#2481poganesh2026-05-29 23:37
    [AMD] Add RyzenAI passes for latest flows; Restore legacy VitisAI passes for eager flow for backward compatibility
  • Pull request#2476jiafatom2026-05-29 22:24
  • Issue comment#2478shaahji2026-05-29 21:35
    add a pass to measure the discrepancies on the test model
  • Issue comment#2459azure-pipelines[bot]2026-05-27 10:07
    Add `--test` HF CLI path for 2-layer random model configs, `olive run` and ModelBuilder support, Qwen how-to/layer-types fix, and merge conflict resolution
  • Pull request#2472justinchuby2026-05-22 23:13
  • Pull request#2465qti-kromero2026-05-21 22:26
  • Pull request#2466jambayk2026-05-16 00:08
  • Issue comment#2450Copilot2026-05-09 00:23
    Make changes to integrate with Whisper recipes
  • Pull request#2455titaiwangms2026-05-08 17:24
  • Issue comment#2443bmehta0012026-05-05 06:29
    Harden telemetry delivery and refine recipe metadata
  • Pull request#2439natke2026-04-29 23:42
  • Pull request#2420GopalakrishnanN2026-04-27 20:38
  • Issue comment#2431xiaoyu-work2026-04-22 04:23
    Bump python-dotenv from 1.2.1 to 1.2.2 in /mcp
  • Pull request#2430apsonawane2026-04-22 02:20
  • Pull request#2430apsonawane2026-04-21 21:31
  • Issue comment#2428xiaoyu-work2026-04-21 04:51
    Add OnnxKquantQuantization pass
  • Issue comment#2416jambayk2026-04-16 20:27
    Bump python-multipart from 0.0.22 to 0.0.26 in /mcp
  • Pull request#2416dependabot[bot]2026-04-15 21:32

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1,378 stars here means stars gained during the window, not the repo's star count.