karimknaebel / point2vec
[GCPR 2023 | CVPR 2023 Workshop] Self-Supervised Representation Learning on Point Clouds
Why this job: says: workshop
What it does
The scripts in this section use Weights & Biases for logging, so it's important to log in once with wandb login before running them. Checkpoints will be saved to the artifacts directory.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 11 days ago
- Stars
- 102
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest tag
- paper
- Released 3 years ago
- Built with
- Python
- 96% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 0 merged
- 0 waiting
- Releases
- 1
- 0 in the last year
- No contributing guide
- No security policy
- No code of conduct
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| rickiepark / llm-from-scratch | 135 | 3 months ago | Apache-2.0 | No downloads |
More: languages, topics and project record
Languages
- Python 96%
- Shell 4%
Topics
- lightning
- machine-learning
- point-cloud
- pytorch
- self-supervised-learning
- transformer
- vision
- vision-transformer
Project record
- JobLists and guides
- StatusListed
- Commits10
- Forks11
- Watching2
- Stars in 28 days0
- CreatedMar 30, 2023
- First seen by usNov 7, 2026
- CheckedNov 8, 2026