Huang-Cheng Chou (ag027592)

ag027592

Geek Repo

Company:https://biic.ee.nthu.edu.tw

Location:Taiwan

Home Page:https://hcchou.wixsite.com/huangchengchou

Github PK Tool:Github PK Tool

Huang-Cheng Chou's repositories

audtorch

Utils and data sets for audio and PyTorch

Language:PythonLicense:NOASSERTIONStargazers:0Issues:1Issues:0

AVUC

Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.

Language:PythonLicense:BSD-3-ClauseStargazers:0Issues:1Issues:0

bottleneck

Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"

Language:PythonLicense:MITStargazers:0Issues:1Issues:0

calibrated-quantile-uq

Training quantile models

Language:Jupyter NotebookStargazers:0Issues:1Issues:0

CLUE

中文语言理解基准测评 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard

Language:PythonStargazers:0Issues:1Issues:0

CMU-MultimodalSDK

CMU MultimodalSDK is a machine learning platform for development of advanced multimodal models as well as easily accessing and processing multimodal datasets.

Language:PythonLicense:NOASSERTIONStargazers:0Issues:1Issues:0
Language:PythonStargazers:0Issues:1Issues:0

coRNN

Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)

Language:PythonLicense:MITStargazers:0Issues:1Issues:0

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

License:MITStargazers:0Issues:0Issues:0

Few_Shot_Distribution_Calibration

[ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration

Language:PythonStargazers:0Issues:1Issues:0
Stargazers:0Issues:1Issues:0
Language:PythonStargazers:0Issues:1Issues:0

graph_neural_net

Expressive Power of Invariant and Equivaraint Graph Neural Networks (ICLR 2021)

Stargazers:0Issues:0Issues:0
License:MITStargazers:0Issues:1Issues:0

HGSL

Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks

Language:PythonLicense:Apache-2.0Stargazers:0Issues:1Issues:0

L3Net

Graph Convolution with Low-rank Learnable Local Filters (ICLR 2021)

Stargazers:0Issues:0Issues:0

labelshiftexperiments

Label shift experiments

Language:Jupyter NotebookStargazers:0Issues:1Issues:0

MAVEN-dataset

Source code and dataset for EMNLP 2020 paper "MAVEN: A Massive General Domain Event Detection Dataset".

Language:PythonLicense:MITStargazers:0Issues:1Issues:0

ML-GCN

PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.

Stargazers:0Issues:0Issues:0

MMESGN

Transformer-based Label Set Generation for Multi-modal Multi-label Emotion Detection

Language:PythonStargazers:0Issues:1Issues:0

multilingual

Automatically Identifying Language Family from Acoustic Examples in Low Resource Scenarios

License:Apache-2.0Stargazers:0Issues:0Issues:0

omnizart

Omniscient Mozart, being able to transcribe everything in the music, including vocal, drum, chord, beat, instruments, and more.

Language:PythonLicense:MITStargazers:0Issues:1Issues:0

OpenCC

Conversion between Traditional and Simplified Chinese

License:Apache-2.0Stargazers:0Issues:0Issues:0

Self-Supervised-Speech-Pretraining-and-Representation-Learning

Official implementation of the S3PRL toolkit: self-supervised pre-training of Mockingjay, TERA, AALBERT, APC, and more to come. With easy-to-use standard downstream evaluation scripts including phone classification, speaker recognition, and ASR. (All in Pytorch)

Language:PythonLicense:MITStargazers:0Issues:1Issues:0

SkipConvNet

Speech Dereverberation using Fully Convolutional Networks

Language:PythonStargazers:0Issues:1Issues:0

stocksight

Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis

License:Apache-2.0Stargazers:0Issues:0Issues:0

TCN

Sequence modeling benchmarks and temporal convolutional networks

Language:PythonLicense:MITStargazers:0Issues:1Issues:0

TransUNet

This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

License:Apache-2.0Stargazers:0Issues:0Issues:0

wavenet_autoencoders

WaveNet auto-ancoders for ZeroSpeech challenge 2020

Language:PythonStargazers:0Issues:1Issues:0