fcdd
cflow-ad
| fcdd | cflow-ad | |
|---|---|---|
| 1 | 1 | |
| 217 | 221 | |
| - | - | |
| 4.8 | 4.3 | |
| 9 months ago | 9 months ago | |
| Python | Python | |
| MIT License | BSD 3-clause "New" or "Revised" License |
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fcdd
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Python development in WSL2 + VS code... is it possibile?
Actually the only reason is that I often have to do with code which is only tested for Linux environments (e.g. https://github.com/liznerski/fcdd). Do you think there wouldn't be issues in running it on Windows? (obviously I know I should fix all the paths etc., I mean "deeper" issues)
cflow-ad
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Using GANs for defect generation
Thanks for the help.I am using the cflow-ad architecture.
What are some alternatives?
ADBench - Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.
nflows - Normalizing flows in PyTorch
vae-anomaly-detector - Experiments on unsupervised anomaly detection using variational autoencoder. The variational autoencoder is implemented in Pytorch.
pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
pytorch-lightning - Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
pygod - A Python Library for Graph Outlier Detection (Anomaly Detection)
pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.