[P] Using PyTorch + NumPy? A bug that plagues thousands of open-source ML projects.

1. Pytorch

   1 396 92,684 10.0 Python

   Tensors and Dynamic neural networks in Python with strong GPU acceleration

   

   But the problem doesn't occur when you use Python's random seeds, precisely because PyTorch sets the Python random seed (but not the Numpy one) in each worker: https://github.com/pytorch/pytorch/blob/98baad57642115d1f66723f6f10585ed933fd731/torch/utils/data/_utils/worker.py#L137, as mentioned in OP's post. So maybe the issue can be fixed by just setting the Numpy random seed like this in the Pytorch code base?

2. InfluxDB

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   InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.

   

3. Kornia

   2 11 10,722 9.2 Python

   🐍 Geometric Computer Vision Library for Spatial AI

   

   Use kornia.augmentation where this problem is solved doing the augmentations in batch outside the dataloader. https://github.com/kornia/kornia

4. CenterNet

   3 6 7,462 0.0 Python

   Object detection, 3D detection, and pose estimation using center point detection:

   

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