logWMSE, an audio quality metric & loss function with support for digital silence target. Useful for training and evaluating audio source separation systems.
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Updated
May 22, 2024 - Python
logWMSE, an audio quality metric & loss function with support for digital silence target. Useful for training and evaluating audio source separation systems.
Repository for the paper "Advancing Time Series Forecasting: Variance-Aware Loss Functions in Transformers"
optimizer & lr scheduler & loss function collections in PyTorch
Efficient implementation of object condensation losses for use in various projects
AI | ML | DL Fully Covered for Basic
Use different models to predict car prices using web scraping
This repository is the implementation of the paper, "Score-balanced Loss for Multi-aspect Pronunciation Assessment" (Interspeech 2023).
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Soft-DTW loss function for Keras/TensorFlow
Collection of audio-focused loss functions in PyTorch
Code for the Lovász-Softmax loss (CVPR 2018)
I am currently working on developing this repository. This repository includes folders including codes for separate deep learning frameworks/API.
Custom implementations of L1/L2/BCE/CE loss and ReLU/Sigmoid/Tanh/Softmax activation functions.
Julia package of loss functions for machine learning.
Implementation of our ACL 2020 paper: Structured Tuning for Semantic Role Labeling
The code for L3AM loss with Pytorch
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The combined method between applying the CNNs to GANs models is called Deep Convolutional Generative Adversarial Networks (DCGANs).
[CVPR 2021] This repository is the official implementation of paper: "PML: Progressive Margin Loss for Long-tailed Age Classification"
loss optimization under unitary constraint
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