ModelNet40-C
webdataset
| ModelNet40-C | webdataset | |
|---|---|---|
| 2 | 7 | |
| 202 | 1,981 | |
| - | 4.2% | |
| 0.0 | 8.8 | |
| 9 months ago | 25 days ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | BSD 3-clause "New" or "Revised" License |
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ModelNet40-C
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[R] NEW Robustness Benchmark for 3D Point Cloud Recognition, ModelNet40-C. "Benchmarking Robustness of 3D Point Cloud Recognition Against Common Corruptions"
Code for https://arxiv.org/abs/2201.12296 found: https://github.com/jiachens/ModelNet40-C
webdataset
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How to use data stored in a (private) S3 Bucket for training?
As an alternative, I've looked into using WebDataset, but couldn't figure out how to access data that is stored in a private bucket.
- [D] Title: Best tools and frameworks for working with million-billion image datasets?
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[D] Training networks on extremely large datasets (10+TB)?
You can try webdataset (https://github.com/webdataset/webdataset).
- Question: TIFF image dataset - size in RAM.
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How to upload large amounts of data to a server?
compress it to .tar format and then load it as a webdataset
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Does mit 6.824 help for distributed deep learning?
Would guess not but there should be some good niche resources: check out the introductory videos here https://github.com/webdataset/webdataset
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How to effectively load a large text dataset with PyTorch?
I found a pretty good solution that is similar to the TFRecord from Tensorflow. You just need to load the data, tokenized it, and save the arrays in shards with webdataset package.
What are some alternatives?
ronin - RoNIN: Robust Neural Inertial Navigation in the Wild
Practical_RL - A course in reinforcement learning in the wild
LFattNet - Attention-based View Selection Networks for Light-field Disparity Estimation
NYU-DLSP20 - NYU Deep Learning Spring 2020
torchio - Medical imaging toolkit for deep learning
Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.
tapnet - Tracking Any Point (TAP)
ffcv - FFCV: Fast Forward Computer Vision (and other ML workloads!)
yolo-tf2 - yolo(all versions) implementation in keras and tensorflow 2.x
fastai - The fastai deep learning library
natural-adv-examples - A Harder ImageNet Test Set (CVPR 2021)
PySyft - Perform data science on data that remains in someone else's server