Update RandLANet weights link

[friendship1]

Updated all RandLA-Net model weight download links that were not reflected in PR #454.
Also, the tables on the Model zoo page have been updated according to readme.md:

Open3D-ML/README.md

Lines 325 to 326 in e469075

| RandLA-Net (tf) | [53.7](https://storage.googleapis.com/open3d-releases/model-zoo/randlanet_semantickitti_202201071330utc.zip) | [73.7](https://storage.googleapis.com/open3d-releases/model-zoo/randlanet_toronto3d_202201071330utc.zip) | [70.9](https://storage.googleapis.com/open3d-releases/model-zoo/randlanet_s3dis_202201071330utc.zip) | [76.0](https://storage.googleapis.com/open3d-releases/model-zoo/randlanet_semantic3d_202201071330utc.zip) | [70.0](https://storage.googleapis.com/open3d-releases/model-zoo/randlanet_parislille3d_202201071330utc.zip)* | - |

| RandLA-Net (torch) | [52.8](https://storage.googleapis.com/open3d-releases/model-zoo/randlanet_semantickitti_202201071330utc.pth) | [74.0](https://storage.googleapis.com/open3d-releases/model-zoo/randlanet_toronto3d_202201071330utc.pth) | [70.9](https://storage.googleapis.com/open3d-releases/model-zoo/randlanet_s3dis_202201071330utc.pth) | [76.0](https://storage.googleapis.com/open3d-releases/model-zoo/randlanet_semantic3d_202201071330utc.pth) | [70.0](https://storage.googleapis.com/open3d-releases/model-zoo/randlanet_parislille3d_202201071330utc.pth)* | - |

This pull request includes PR #575.

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This change is 

[ssheorey]

Hi @friendship1, thank you for this PR!

• Please fix the table formatting in README.md.
• Update your PR by merging dev.

[ssheorey]

Thanks @friendship1 !

[kg571852741]

@friendship1
I am particularly interested in the pre-trained weight model that you used.
Could you help me by answering a few questions?

1.

Can you provide more your pre-trained weight model information about the architecture of the pre-trained weight model you used?

2.

What was the dataset used to train the pre-trained weight model?
Thanks !

[friendship1]

@kg571852741
I've just corrected a typo in the link to download the model in the markdown file.

Please note that I am not the one who trained RandlaNet myself. You can find more information in pull request #454.

I've used RandlaNet on my own dataset, but I've never applied it to a public dataset, so I don't think I can provide much assistance.