banalasaritha Goto Github PK

resnet-18-cbam-cam-ds

Individual Research Project-Weakly supervised learning-based segmentation of surgical instruments in laparoscopic video frames

resnet.crnn

resnet_imclass

This is one of my trainings in DS & ML: Resnet image classification

rna-seq-tsne

The art of using t-SNE for single-cell transcriptomics

s_method

S-method implementation

selective-kernel-attention-tdnn

Frequency and Multi-Scale Selective Kernel Attention for Speaker Verification

self-supervised-audio-spectrogram-transformer

Code for the AAAI 2022 paper "SSAST: Self-Supervised Audio Spectrogram Transformer".

senet.pytorch-seresnet18-

PyTorch implementation of SENet

simple_shot

sincnetattention

SincNet with Attention Mechanism using PyTorch

spatial-channel-attention-cnn.cvpr17

Image Captions Generation with Spatial and Channel-wise Attention

spatial-channel-cbam-attentionresnet

Classification with backbone Resnet and attentions: SE-Channel Attention, BAM - (Spatial Attention, Channel Attention, Joint Attention), CBAM - (Spatial Attention, Channel Attention, Joint Attention)

speaker-identification

Speaker identification task using deep learning models

speaker-identification-1

Speaker Identification using Neural Net.

speakerbox

Speakerbox: Fine-tune Audio Transformers for speaker identification.

speakeridentification-with-gan

Unofficial implement with paper SpeakerGAN: Speaker identification with conditional generative adversarial network

time-frequency-representations-of-rsr2015-database

Time frequency representations of RSR 2015 database.

torgo-database

The TORGO database used for our NLP project. Contains speech of normal and dysarthric people

transformers-wav2vec

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

underwater-acoustic-target-classification-based-on-dense-convolutional-neural-network

In oceanic remote sensing operations, underwater acoustic target recognition is always a difficult and extremely important task of sonar systems, especially in the condition of complex sound wave propagation characteristics. Expensively learning recognition model for big data analysis is typically an obstacle for most traditional machine learning

vad-in-weakly-supervised-manner

Repository for our Interspeech2020 general-purpose voice activity detection (GPVAD) paper

vggvox_identification

Training and evaluation of VGGVox neural network for speaker identification

wav2spk-y-vector

Y-vector: Multiscale Waveform Encoder for Speaker Embedding

workshops

Materials for workshops on the Hugging Face ecosystem