tenglang123

AdderNet

Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"

ast

Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".

audio-classification

:musical_score: Environmental sound classification using Deep Learning with extracted features

audioset_tagging_cnn

ClusterGCN

A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

DensityPeakCluster-2

Python Code For 'Clustering By Fast Search And Find Of Density Peaks' In Science 2014.（原算法地址：https://github.com/lanbing510/DensityPeakCluster）

eat_tensorflow2_in_30_days

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

FcaNet

FcaNet: Frequency Channel Attention Networks

google-research

Google Research

TFNet-for-Environmental-Sound-Classification

Learning discriminative and robust time-frequency representations for environmental sound classification: Convolutional neural networks (CNN) are one of the best-performing neural network architectures for environmental sound classification (ESC). Recently, attention mechanisms have been used in CNN to capture the useful information from the audio signal for sound classification, especially for weakly labelled data where the timing information about the acoustic events is not available in the training data, apart from the availability of sound class labels. In these methods, however, the inherent time-frequency characteristics and variations are not explicitly exploited when obtaining the deep features. In this paper, we propose a new method, called time-frequency enhancement block (TFBlock), which temporal attention and frequency attention are employed to enhance the features from relevant frames and frequency bands. Compared with other attention mechanisms, in our method, parallel branches are constructed which allow the temporal and frequency features to be attended respectively in order to mitigate interference from the sections where no sound events happened in the acoustic environments. The experiments on three benchmark ESC datasets show that our method improves the classification performance and also exhibits robustness to noise.

tenglang123/eat_tensorflow2_in_30_days

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

tenglang123/FcaNet

FcaNet: Frequency Channel Attention Networks

tenglang123/google-research

Google Research

tenglang123/AdderNet

Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"

tenglang123/ast

Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".

tenglang123/audioset_tagging_cnn

tenglang123/awesome-fast-attention

list of efficient attention modules

tenglang123/benchmarking-gnns

Repository for benchmarking graph neural networks

tenglang123/clearml

ClearML - Auto-Magical Suite of tools to streamline your ML workflow. Experiment Manager, ML-Ops and Data-Management

tenglang123/cpjku_dcase20

CP-JKU submission to DCASE 20

tenglang123/DCANet

Deep Connected Attention Networks

tenglang123/DCASE-2020-Task1A-Code

A pytorch implementation of the paper : Acoustic Scene Classification with Multiple Decision Schemes.

tenglang123/DCASE2020_task1

Code for DCASE 2020 task 1a and task 1b.

tenglang123/Dive-into-DL-PyTorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

tenglang123/DO-Conv

Depthwise Over-parameterized Convolutional Layer

tenglang123/ECANet

Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

tenglang123/ESResNet

Source code for models described in the paper "ESResNet: Environmental Sound Classification Based on Visual Domain Models" (https://arxiv.org/abs/2004.07301)

tenglang123/ghostnet

[CVPR2020] Surpassing MobileNetV3: "GhostNet: More Features from Cheap Operations"

tenglang123/learn-to-cluster

Learning to Cluster Faces (CVPR 2019, CVPR 2020)

tenglang123/ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

tenglang123/open-atac

tenglang123/openseg.pytorch

The Pytorch code of OCNet series and SegFix.

tenglang123/PseudoLabeling

Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"

tenglang123/PyTorch-Networks

Pytorch implementation of cnn network

tenglang123/res-mlp-pytorch

Implementation of ResMLP, an all MLP solution to image classification, in Pytorch

tenglang123/SimpleCVReproduction

reproduce simple cv project including classification, object detection, segmentation, keypoint detection, tracking, attention mechanism:smile: etc.

tenglang123/SPConv.pytorch

[ IJCAI-20 ] Split to Be Slim: An Overlooked Redundancy in Vanilla Convolution

tenglang123/trains-examples

tenglang123/urban-sound-tagging

1st place solution to the DCASE 2020 - Task 5 - Urban Sound Tagging with Spatiotemporal Context

tenglang123/WeightNet