teang1995

minishell

👀 미니쉘 공부하기 (with 동현) -> ‼️minimini_minishell

minimini_minishell

🌟 우당탕탕 shell 만들기

cub3D

🎮 mlx 라이브러리와 레이케이팅을 이용한 3D 탈출 게임

koclip

KoCLIP: Korean port of OpenAI CLIP, in Flax

OpenPrompt

An Open-Source Framework for Prompt-Learning.

KLUE-baseline

Finetuning Pipeline

PLMPapers

A paper list of pre-trained language models (PLMs).

CRSLab

CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).

UniCRS

[KDD22] Official PyTorch implementation for "Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning".

source-code-translator

Python Code Translator with OpenAI Codex

KGSF

KDD2020 Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion

PromptPapers

Must-read papers on prompt-based tuning for pre-trained language models.

OpenOOD

Benchmarking Generalized Out-of-Distribution Detection

FarconVAE

Official implementation for KDD'22 paper "Learning Fair Representation via Distributional Contrastive Disentanglement"

LightGCN

AIR

baekjoon

코딩테스트 대비 문제집(Baekjoon Online Judge)

learning_where_to_learn

DGL-Tutorial

This Repository includes DGL tutorials and various information related to graph neural networks.

mixup-cifar10

mixup: Beyond Empirical Risk Minimization

SimCTG

[NeurIPS'22 Spotlight] A Contrastive Framework for Neural Text Generation

MCL

Code for the WWW'22 paper "MCL: Mixed-Centric Loss for Collaborative Filtering"

CodeGen

CodeGen is a family of open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex.

Take-0

An homage to the Korean rhythm game DJMAX (Jun 2015 - Jul 2022)

kaggle-cli

(Deprecated, use https://github.com/Kaggle/kaggle-api instead) An unofficial Kaggle command line tool.

MAGIC

Language Models Can See: Plugging Visual Controls in Text Generation

awesome-nonsan

🔫 논산 육군훈련소에 대한 정보와 팁

powerlevel10k

A Zsh theme

alive-progress

A new kind of Progress Bar, with real-time throughput, ETA, and very cool animations!

korean_smile_style_dataset