Row 7397
Content Data
This page contains data entry 7397 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
I created jaxsplat which provides CUDA-accelerated 3D Gaussian Splatting for JAX. The original INRIA code and gsplat's implementation contain dynamically shaped arrays unsuitable for usage with JAX. Instead, I modified gsplat's CUDA implementation to expose custom XLA CUDA calls while not leaking any dynamic shapes into JAX-side code.
Take a look if you're interested in exploring 3D Gaussian Splatting with JAX:
GitHub: https://github.com/yklcs/jaxsplat
Docs: https://jaxsplat.readthedocs.io
| Field | Value |
|---|---|
| text | I created jaxsplat which provides CUDA-accelerated 3D Gaussian Splatting for JAX. The original INRIA code and gsplat's implementation contain dynamically shaped arrays unsuitable for usage with JAX. Instead, I modified gsplat's CUDA implementation to expose custom XLA CUDA calls while not leaking any dynamic shapes into JAX-side code. Take a look if you're interested in exploring 3D Gaussian Splatting with JAX: GitHub: https://github.com/yklcs/jaxsplat Docs: https://jaxsplat.readthedocs.io |
| label | r/machinelearning |
| dataType | post |
| communityName | r/MachineLearning |
| datetime | 2024-05-16 |
| username_encoded | Z0FBQUFBQm5Lakwzc1dEbnNwMWVUM3ZaWHUxWl9aRmRyTEVBNFhTSzhRRmk4Q3RJZzlwRU14UENfYUpzSUdqcUN3SjRFLWV5cks4RzRPSFpNbUpxc1BNazFHbjVxYnB1Smc9PQ== |
| url_encoded | Z0FBQUFBQm5Lak9IX0JrU2RER2VjZUN2OXNTd0IwdUJkWUg2dDdHRmY0SFRsV0FuclJkTnl1NTlnSW5jV3lzd09URTBJd3g2NC1wcUdrR0tKNU1OeEZ5SHV1ejU3a2lWb2RRTk9ZNERmZEdpM1U2M2J0TjdfOU1kdXNrN1JwcWxPb3BjYUhKZGFvdFRQenljN1hOTE1pdEZjUzhkRHBsb2xIZlpxa1RnYU5OOUdUMU5oUzFTbmJJVTRFdVdybFhHX1JmZmJBWVFucmQ2UWtubWU4bWJGQmQ0LWxneDFCUnBhdz09 |
Raw Record
{
"text": "I created jaxsplat which provides CUDA-accelerated 3D Gaussian Splatting for JAX.\nThe original INRIA code and gsplat's implementation contain dynamically shaped arrays unsuitable for usage with JAX.\nInstead, I modified gsplat's CUDA implementation to expose custom XLA CUDA calls while not leaking any dynamic shapes into JAX-side code.\n\nTake a look if you're interested in exploring 3D Gaussian Splatting with JAX:\n\nGitHub: https://github.com/yklcs/jaxsplat\n\nDocs: https://jaxsplat.readthedocs.io",
"label": "r/machinelearning",
"dataType": "post",
"communityName": "r/MachineLearning",
"datetime": "2024-05-16",
"username_encoded": "Z0FBQUFBQm5Lakwzc1dEbnNwMWVUM3ZaWHUxWl9aRmRyTEVBNFhTSzhRRmk4Q3RJZzlwRU14UENfYUpzSUdqcUN3SjRFLWV5cks4RzRPSFpNbUpxc1BNazFHbjVxYnB1Smc9PQ==",
"url_encoded": "Z0FBQUFBQm5Lak9IX0JrU2RER2VjZUN2OXNTd0IwdUJkWUg2dDdHRmY0SFRsV0FuclJkTnl1NTlnSW5jV3lzd09URTBJd3g2NC1wcUdrR0tKNU1OeEZ5SHV1ejU3a2lWb2RRTk9ZNERmZEdpM1U2M2J0TjdfOU1kdXNrN1JwcWxPb3BjYUhKZGFvdFRQenljN1hOTE1pdEZjUzhkRHBsb2xIZlpxa1RnYU5OOUdUMU5oUzFTbmJJVTRFdVdybFhHX1JmZmJBWVFucmQ2UWtubWU4bWJGQmQ0LWxneDFCUnBhdz09"
}
Entry Information
- Entry ID: 7397
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000