Eunhwan Park (@JudePark96)
  • Stars
    star
    66
  • Global Rank 279,297 (Top 10 %)
  • Followers 91
  • Following 189
  • Registered almost 13 years ago
  • Most used languages
    Python
    93.3 %
  • Location ๐Ÿ‡ฐ๐Ÿ‡ท South Korea
  • Country Total Rank 2,432
  • Country Ranking
    Python
    1,308

Top repositories

1

awesome-nlp-references

A curated list of resources dedicated to Knowledge Distillation, Recommendation System, especially Natural Language Processing (NLP).
30
star
2

BERT-KorQuAD-Competition

Machine Reading Comprehension Competition w/ Korean BERT Model
Python
5
star
3

Transformer-Chatbot-PyTorch

Implementation of Basic Conversational Agent(a.k.a Chatbot) using PyTorch Transformer Module
Python
4
star
4

LM-BFF-MS

Official Implementation for ACL 2022 Paper "LM-BFF-MS: Improving Few-Shot Fine-tuning of Language Models based on Multiple Soft Demonstration Memory"
Python
3
star
5

AI-job-interview-korean

Job Interview? - Ready, Get Set, Go!
3
star
6

speech-recognition-pytorch

Python
2
star
7

Analyze-Les-Miserables-s-Word-Count-with-Zipf-s-law

Analyze Les Miserablesโ€™s Word Count with Zipfโ€™s law
1
star
8

nudt-linear

Normalize Unbounded Dot Product in Pytorch
Python
1
star
9

paper-summaries

The inventory of history of taking paper summary by me.
1
star
10

retrieval-projects

Python
1
star
11

JudePark96

I've found secret in here!
1
star
12

keyphrase-extraction

Keyphrase Extraction
Python
1
star
13

sentence-representation

Advanced Implementation of An Efficient Framework for Learning Sentence Representations using PyTorch
Python
1
star
14

multi-hop-qg

Python
1
star
15

claim-consistency-classifier

Python
1
star
16

parameter-efficient-prompt-tuning

Python
1
star
17

PyTorch-Text-CNN-Classification

PyTorch-Text-CNN-Classification
Python
1
star
18

LM-soft-prompt-tuning

Python
1
star
19

imdb-sentimental-analysis-pytorch

imdb-sentimental-analysis-pytorch
Jupyter Notebook
1
star
20

icl-memory

1
star
21

llm-explanation-generator

Benefiting from the large language models by generating explanation of given a context, this aims to transfer the knowledge of large-scale language models (such as ChatGPT) to relatively small-scale language models.
Python
1
star