Fast CUDA implementation ofsoft-DTWfor PyTorch. Based onpytorch-softdtwbut can run up to 100x faster! Bothforward()andbackward()passes are implemented using CUDA. My implementation is partly inspired by"Developing a pattern discovery method in time series data and its GPU acceleration"wherein a ...
Python implementation of soft-DTW. time-seriesdtwneural-networksdynamic-time-warpingsoft-dtw UpdatedJun 19, 2024 Python PyTorch implementation of Soft-DTW: a Differentiable Loss Function for Time-Series in CUDA deep-neural-networksdeep-learningtime-seriesdtwcudapytorchdynamic-time-warpingsoft-dtwloss-fun...
您还可以运行随附的事件探查器/测试(已通过Python v3.6测试),并查看获得的加速效果: git clone https://github.com/Maghoumi/pytorch-softdtw-cuda cd pytorch-softdtw-cuda python soft_dtw_cuda.py 用法示例 脚本中已经提供了示例代码。 这是一个简单的例子: from soft_dtw_cuda import SoftDTW # Crea ...
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一条命令离线安装高可用 Kubernetes,3min 装完,500M,100年证书,版本不要太全,生产环境稳如老狗🔥 ⎈ 🐳 - sealos/go.work.sum at master · hopesoft/sealos
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