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### Description
The goal is to develop a Tibetan text-to-speech (TTS) model that can convert Tibetan text into Tibetan speech. This project involves training a TTS model using filtered good audio qual…
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### Title
Bayes and Bach: An RNN-powered affair
### Leaders
Alejandro Tabas (mattermost: @atabas)
### Collaborators
_No response_
### Brainhack Global 2024 Event
Brainhack Donostia
### Projec…
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Hi, adjust UNET structure for 4 depth, instead of 3 depth, and training show an error, for weight names, can you give me the sign how to adjust original coding part? I did not find the part for this …
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https://arxiv.org/abs/1902.01889
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Since training a MLP may take quite a long time, it may be usefull to monitor the MLP output error while training, such as a mean error at each epoch loop.
Then, such a monitoring may provide the abi…
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Hi,
since it took so long to train (around two and a half week to train with 4 1080Ti GPUs.). is there any tool to monitor the training process?
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Is training after early stopping necessary to replicate the result mentioned in the paper ? Also, from the code it seems the model continue to train up to 200 epochs after early stopping and do not se…
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### Description
We aim to enhance our speech-to-text (STT) model by fine-tuning it using exclusive speaker-specific data combined with our existing base training data. We will use Low-Rank Adaptation…
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:red_circle: **Title** : Computer Vision to Detect Bad Posture
:red_circle: **Aim** : Implement a feature using computer vision techniques to detect bad posture in real-time using a webcam feed.
:re…
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## Proposal Summary
Add a mechanism to measure and track the carbon footprint of training and inferencing machine learning models.
This feature would integrate a carbon tracking feature, allowing …