JunhoKim94

ASR_project

This repository created for the NHN ASR hackathon competition.

HEVEN_Path_Planning

깨끗하게 쓰자

TutorKD

Tutoring Helps Students Learn Better: Improving Knowledge Distillation for BERT with Tutor Network

HENVEN_PathPlanning

Word2Vec_Study

Word2Vec using Hierarchy Softmax and Negative Sampling with Unigram & Subsampling

word2vecC

C/C++ code for word2vec and n-gram Subword model

GAN-Models

This repository created for studying GAN Models

SDML

Sungkunkwan_University_SDML

AI_Study

This repository was made for AI Study

bayesian-machine-learning

Notebooks about Bayesian methods for machine learning

CNN_classification

CNN classification

Concept-based-curriculum-masking

Efficient Pre-training of Masked Language Model via Concept-based Curriculum Masking

Dacon_Fin

darknet

Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)

electra

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

End-to-end-ASR-Pytorch

This is an open source project (formerly named Listen, Attend and Spell - PyTorch Implementation) for end-to-end ASR implemented with Pytorch, the well known deep learning toolkit.

Fast_text

This repository is reimplementation of fast-text classification model which was introduced in 2017 ACL "Bag of Tricks for Efficient Text Classification" paper

FCNN

Fully connected neural network example

GCN

Jeju-BigData-Competition_SKKU

제주시 퇴근 버스시간 승차인원 예측 Competition을 위한 Repository

KB2E

Knowledge Graph Embeddings including TransE, TransH, TransR and PTransE

khd2019

MLP_Study

Multi-Layer-Perceptron

MLP and Word2vec by C++

speech_hackathon_2019

text_classification

all kinds of text classification models and more with deep learning

Transformer

This repository is reimplementation of Transformer model which was introduced in 2017 NeurIPS paper "Attention is all you need"

word2vec

This tool provides an efficient implementation of the continuous bag-of-words and skip-gram architectures for computing vector representations of words. These representations can be subsequently used in many natural language processing applications and for further research.