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An extension of Open3D to address 3D Machine Learning tasks

active 2025-03-092026-07-17 (UTC)

Partial coverage11,466 / 12,463 hourly files (92%) · 2 absent upstream · 994 failed, retryable2025-03-092026-08-10 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
183
Pushes
4
Pull requests
6
Issues
3
Stars
132
Forks
16

Activity over time

Daily event counts in the loaded window

Line chart, 496 days from 2025-03-09 to 2026-07-17. Pushes: 4 total, peak 2 in a day. Pull requests: 6 total, peak 2 in a day. Issues: 3 total, peak 1 in a day. Comments: 18 total, peak 3 in a day. Stars: 132 total, peak 4 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
johnnynunez6023
ssheorey5211
Copilot5221
lkpopo3003
yfq5122002
Inshu03022001
Arno-Tu1001
YuanCR511001
RayASDF1001
mella301001
John-Hiroshi1001
RanakotiGIT1000
Ramzes307651001
HernandoR1001
Olexandr881010

Recent activity

Latest issues, pull requests and releases

  • Issue comment#694johnnynunez2026-05-04 05:31
    Torch 2.12.0+cu132 & Tensorflow 2.21.0
  • Issue comment#694johnnynunez2026-05-04 05:31
    Torch 2.12.0+cu132 & Tensorflow 2.21.0
  • Pull request#690Copilot2026-02-23 17:44
  • Pull request#690Copilot2026-02-23 17:44
  • Issue comment#687RayASDF2026-02-23 04:09
    Update PyTorch and torchvision versions and tensorflow in requirements
  • Issue comment#687johnnynunez2026-01-15 04:20
    Update PyTorch and torchvision versions and tensorflow in requirements
  • Issue comment#687ssheorey2026-01-09 18:51
    Update PyTorch and torchvision versions in requirements
  • Issue comment#684YuanCR512025-12-29 06:55
    Open3D-ML installation guide leads to PyTorch / NumPy version conflicts
  • Pull request#686johnnynunez2025-12-16 09:20
  • Issue comment#648mella302025-10-21 09:02
    Point Transformer training for SemanticKitti dataset
  • Issue comment#623Ramzes307652025-09-29 13:45
    "Cannot use ml3d on Windows10"—Exception: Open3D was not built with PyTorch support!
  • Issue#683RanakotiGIT2025-09-26 12:12
    Point transformer traning crashes if shape is not [n, 16]
  • Issue#682Inshu03022025-09-24 13:40
    Ignore labels doesnot work as expected
  • Issue comment#445John-Hiroshi2025-09-24 04:11
    Semantic3D dataset dimension mismatch error when training from pipeline
  • Issue comment#681Inshu03022025-09-12 15:22
    Havign problems while running open3dml on HPC
  • Issue comment#649lkpopo2025-08-28 02:06
    Summarize the question. (e.g., "How to do inference on custom dataset ? ")
  • Issue comment#609lkpopo2025-08-27 06:03
    TypeError: unhashable type: 'numpy.ndarray' when saving test results with Custom3D dataset
  • Issue comment#572lkpopo2025-08-26 03:31
    AttributeError: Can't pickle local object 'SemSegRandomSampler.get_point_sampler.<locals>._random_centered_gen'
  • Pull request#661ssheorey2025-06-28 04:29
  • Issue#678johnnynunez2025-06-14 17:01
    Open-ML must be upgraded to eigen 3.4
  • Pull request#677johnnynunez2025-06-14 16:34
  • Pull request#676Olexandr882025-05-30 07:51
  • Issue comment#650HernandoR2025-03-19 01:59
    RuntimeError: CUDA error: an illegal memory access was encountered
  • Issue comment#526yfq5122025-03-12 03:53
    Cannot get the benchmark result using KPConv on S3DIS dataset.
  • Issue comment#526Arno-Tu2025-03-12 02:49
    Cannot get the benchmark result using KPConv on S3DIS dataset.

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 132 stars here means stars gained during the window, not the repo's star count.