semvec/pypi-packages huggingface dataset:
pyevacalor 0.0.10
pyevacalor provides controlling Eva Calor heating devices connected via the IOT Agua platform of Micronova

# pyevacalor

pyevacalor provides controlling Eva Calor heating devices connected via the IOT Agua platform of Micronova.

## Example usage

```
from pyevacalor import evacalor

# 1c3be3cd-360c-4c9f-af15-1f79e9ccbc2a = random UUID
# You can generate one here: https://www.uuidgenerator.net/version4
connection = evacalor("john.smith@gmail.com", "mysecretpassword", "1c3be3cd-360c-4c9f-af15-1f79e9ccbc2a")

# Print the current air temperature for each device
for device in connection.devices:
  print(device.name + ": " + str(device.air_temperature))
```
tacotron2-model 0.2.4
A PyPI port of the NVIDIA Tacotron2 model
Requires Python: >=3.5

# tacotron2-model
A PyPI port of the NVIDIA Tacotron2 model

Source: https://github.com/NVIDIA/tacotron2 (model.py)

A pytorch install is required but is not added to requirements to avoid configuration issues.

The only change from the NVIDIA original is a replacement of hparams with individual arguments.
This removes the dependency on tf.contrib.training.HParams (deprecated since tensorflow 1).

## Model usage

```
from tacotron2_model import Tacotron2

model = Tacotron2().cuda()
print(model.eval())
```

## Loss usage

```
from tacotron2_model import Tacotron2Loss

criterion = Tacotron2Loss()
```


## Collate usage

```
from tacotron2_model import TextMelCollate

collate_fn = TextMelCollate()
```

## STFT

```
from tacotron2_model import TacotronSTFT

stft = TacotronSTFT()
```