lightning-transformers
Pointnet2_PyTorch
lightning-transformers | Pointnet2_PyTorch | |
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1 | 1 | |
574 | 1,399 | |
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8.2 | 0.0 | |
over 1 year ago | 2 months ago | |
Python | Python | |
Apache License 2.0 | The Unlicense |
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lightning-transformers
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Lightning Transformers - Train HuggingFace Transformers with PyTorch
Lightning Transformers is for users who want to train, evaluate and predict using HuggingFace models and datasets with PyTorch Lightning. Full customizability of the code using the LightningModule and Trainer, with Hydra config composition for quick and easy experimentation. No boilerplate code is required; easily swap out models, optimizers, schedulers, and more without touching the code. Check out the blog post: Training Transformers at Scale with PyTorch Lightning for more information or the documentation.
Pointnet2_PyTorch
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[D] Implementing custom functions in pytorch e.g. feature propagation (PointNet++)
Apologies if this isn't the right place to ask. But I'm currently studying point cloud-based networks like pointcloud++, and all the related 3d object detection networks like pointpillars, voxelnet, etc. While I (think) understand the algorithms like feature propagation in pointnet++. I'm having trouble understanding how would one implement them. Or Where could I learn about writing operations in cuda and making sure they are compatible with backprop?
What are some alternatives?
lightning-hydra-template - PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
mdx-net - KUIELAB-MDX-Net got the 2nd place on the Leaderboard A and the 3rd place on the Leaderboard B in the MDX-Challenge ISMIR 2021
pytorch-forecasting - Time series forecasting with PyTorch
Pointnet_Pointnet2_pytorch - PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
solo-learn - solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
SimpleView - Official Code for ICML 2021 paper "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"
lightning-hydra-template - Deep Learning project template best practices with Pytorch Lightning, Hydra, Tensorboard.