alexxony
alexxony
I tried to apply my custom function on koalas rolling but it could not be applied. The method `pandas.core.window.Rolling.apply()` is not implemented yet. or Is there any difference between koalas...
**Question and context** I have 48 hours ECG data; there are many motion artifacts. I planned nk.ecg_quality loop, long term calculation can not detect motion artifact. So I tried to...
**Question and context** I tried to dismantle neurokit2.ecg.ecg_quality for speed up but I can not run _ecg_quality_pSQI, _ecg_quality_basSQI pdf is ecg_3000hz.csv @nb.jit def _ecg_quality_pSQI( ecg_cleaned, sampling_rate=1000, window=1024, num_spectrum=[5, 15], dem_spectrum=[5,...
when I tried to python3 bark_webui.py --share `Traceback (most recent call last): File "bark_webui.py", line 1520, in audio_prompt_input = gr.Audio( File "/usr/local/lib/python3.8/dist-packages/gradio/component_meta.py", line 155, in wrapper return fn(self, **kwargs) TypeError:...
I have korean audio data sets which are labeled as depression and normal. And each of them are at least 2 minutes. Can I apply this model??
I finetuned Espnet2 and inference with beneath. `model = Text2Speech.from_pretrained( model_file=model_path, vocoder_tag=str_or_none("parallel_wavegan/jsut_hifigan.v1"), device=device )` but sounds like autotuned voice. https://drive.google.com/file/d/1f-C_zmggwijU2ETcs0tDOivUXwC5HIsz/view?usp=drive_link how can i solve this problem?
trainer.evaluate(eval_dataset=encoded_test_dataset) output is {'eval_loss': 0.6165900230407715, 'eval_precision': 0.681265206812652, 'eval_recall': 0.681265206812652, 'eval_f1': 0.681265206812652, 'eval_accuracy': 0.681265206812652, 'eval_runtime': 2.1712, 'eval_samples_per_second': 189.3, 'eval_steps_per_second': 5.988, 'epoch': 18.72}
### Describe the bug  ### To Reproduce I tried to USE GUI with svcg. But it failed like above is it due to using ubuntu? ### Additional context _No...
I should have to do this for unsetting espeak !apt-get install espeak Also It occured AttributeError: 'HParams' object has no attribute 'duration_discriminator_type'
I am Using Orange Pi 5 plus. And I followed https://www.xda-developers.com/how-i-used-the-npu-on-my-orange-pi-5-pro-to-run-llms/ But When it comes to Run  How can I Run ?