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Huang-Cheng Chou's Projects

gt-nlp-class icon gt-nlp-class

Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"

hgsl icon hgsl

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

kedro icon kedro

A Python library for building robust production-ready data and analytics pipelines

keras-bert icon keras-bert

A simple technique to integrate BERT from tf hub to keras

l3net icon l3net

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

lark icon lark

LAnguage Representations Kit

ldam-drw icon ldam-drw

[NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss

ldl icon ldl

Pytorch implementation of "Joint Acne Image Grading and Counting via Label Distribution Learning"

ldl-ldm icon ldl-ldm

Code for our TNNLS'21 paper titled Label Distribution Learning by Exploiting Label Distribution Manifold

ldl-scl icon ldl-scl

The implementation of "Distribution Learning with Label Correlations on Local Samples".

ldl_hr icon ldl_hr

Learn the Highest Label and Rest Label Description Degrees

leafnats icon leafnats

A Learning Framework for Neural Abstractive Text Summarization

lift icon lift

Code release for the ECCV 2016 paper

light-sernet icon light-sernet

Light-SERNet: A lightweight fully convolutional neural network for speech emotion recognition

lightgbm icon lightgbm

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

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