kelelexu

ARS-Aug

Augmented Random Search for Data Augmentation

ast

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

AutoX

AutoX is an efficient automl tool, which is mainly aimed at data mining competitions with tabular data.

bdl-benchmarks

Bayesian Deep Learning Benchmarks

confidence-aware-learning

Confidence-Aware Learning for Deep Neural Networks (ICML2020)

ConfidNet

Addressing Failure Prediction by Learning Model Confidence

ConvLstm-ultrasound-videos

PREDICTING TONGUE MOTION IN UNLABELED ULTRASOUND VIDEOS USING CONVOLUTIONAL LSTM NEURAL NETWORKS

DCASE2018Task2

Team NUDT code for DCASE2018Task2.

DeepLearning4UTI

Deep Learning For Ultrasound Tongue Imaging

mtracker.github.io

MTracker is a tool for automatic splining tongue shapes in ultrasound images by harnessing the power of deep convolutional neural networks. It is developed at the Department of Linguistics, University of Michigan to address the need of spining a large-scale ultrasound project.

kelelexu/DeepLearning4UTI

Deep Learning For Ultrasound Tongue Imaging

kelelexu/ARS-Aug

Augmented Random Search for Data Augmentation

kelelexu/ConvLstm-ultrasound-videos

PREDICTING TONGUE MOTION IN UNLABELED ULTRASOUND VIDEOS USING CONVOLUTIONAL LSTM NEURAL NETWORKS

kelelexu/mtracker.github.io

MTracker is a tool for automatic splining tongue shapes in ultrasound images by harnessing the power of deep convolutional neural networks. It is developed at the Department of Linguistics, University of Michigan to address the need of spining a large-scale ultrasound project.

kelelexu/ast

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

kelelexu/AutoX

AutoX is an efficient automl tool, which is mainly aimed at data mining competitions with tabular data.

kelelexu/bdl-benchmarks

Bayesian Deep Learning Benchmarks

kelelexu/confidence-aware-learning

Confidence-Aware Learning for Deep Neural Networks (ICML2020)

kelelexu/ConfidNet

Addressing Failure Prediction by Learning Model Confidence

kelelexu/DCASE2018Task2

Team NUDT code for DCASE2018Task2.

kelelexu/deterministic-uncertainty-quantification

Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"

kelelexu/eForest

This is the official implementation for the paper 'AutoEncoder by Forest'

kelelexu/geotensor

Geometric low-rank tensor completion for color image inpainting.

kelelexu/https-github.com-DCASE2018Task2

kelelexu/IL2A

Class-Incremental Learning via Dual Augmentation

kelelexu/kelelexu.github.io

My homepage

kelelexu/Knowledge-Distillation-Zoo

kelelexu/MFN

Code for Memory Fusion Network, AAAI 2018

kelelexu/midrae

Code for paper Improving Representation Learning in Autoencoders via Multidimensional Interpolation and Dual Regularizations.

kelelexu/mixed-data-aug-audio-tagging

kelelexu/pydiogment

:mega: Python library for audio augmentation

kelelexu/RFDN

Residual Feature Distillation Network for Lightweight Image Super-Resolution

kelelexu/robustness-self-supervision

An official implementation of Improving Model Robustness via Automatically Incorporating Self-supervision Tasks

kelelexu/SDE-Net

Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates

kelelexu/UTI