semvec/pypi-packages huggingface dataset:
fftLoss 0.0.1
The fftLoss @PyTorch is a frequency domain loss function that prevents the problem of weak frequency components being suppressed by strong frequency components when using a regular loss function. 
Requires Python: >=3.8
Keywords: fftLoss, Loss, PyTorch, AI, neural, NN, FFT

# fftLoss
The fftLoss @PyTorch is a frequency domain loss function that prevents the problem of weak frequency components being suppressed by strong frequency components when using a regular loss function. 

## 思路说明
在使用MSE等从时域或空域计算的损失函数时,常常得到模糊的结果.这是由于强势频率压制了弱势频率的表达.通过在频域对相位和幅值分别计算差异缓解了这个问题.这使得网络更偏向于生成边缘锐利的结果.

## Install
```bash
pip install fftLoss
```

## Use
```python
from fftLoss import fftLoss
...
loss=fftLoss(input,target,dim=-1,meanOut=True,norm="ortho",absGain=1,angleGain=1)
```

## HomePage
<https://github.com/PsycheHalo/fftLoss/>
interpretsr 1.0.2
Deep Learning Interpretability with Symbolic Regression.
Requires Python: >=3.11

![logo](https://raw.githubusercontent.com/elizabethsztan/InterpretSR/main/docs/_static/InterpretSR_header.png)

*InterpretSR* allows you to approximate the behaviour of multi-layer perceptrons (MLPs) in deep learning models with symbolic equations using [PySR](https://ai.damtp.cam.ac.uk/pysr/).

## Installation

```bash
pip install interpretsr
```

## Documentation

Full documentation is available at [ReadTheDocs](https://interpretsr.readthedocs.io/).

## License

MIT License