Attentive-Statistics-Pooling-for-Deep-Speaker-Embedding

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.

Awesome List of Attention Modules and Plug&Play Modules in Computer Vision

This project uses a variety of advanced voiceprint recognition models such as EcapaTdnn, ResNetSE, ERes2Net, CAM++, etc. It is not excluded that more models will be supported in the future. At the same time, this project also supports MelSpectrogram, Spectrogram data preprocessing methods

Research and Production Oriented Speaker Verification, Recognition and Diarization Toolkit

Implementation of the Swin Transformer in PyTorch.

Keras Attention Layer (Luong and Bahdanau scores).

AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation